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Nov 10, 2022

Seattle, WA

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Data Warehousing

|

Contract

|

$78 - $98 (hourly estimate)

{"JobID":239477,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.317454545455,"Longitude":47.6041818181818,"Distance":null},"State":"Washington","Zip":"98104","ReferenceID":"SEA-e510e020-6b9f-4ccc-9142-e0e85fc38139","PostedDate":"\/Date(1668118443000)\/","Description":"An employer is looking for a Sr. Data Engineer in the Seattle, WA area. This entertainment company is looking for a Sr. Data Engineer to join their consumer business division. They are dealing with large amounts of television and digital data around their customers. This person will be responsible for their Data Warehouse as they evolve into a more cloud based environment. Someone with AWS and Snowflake experience would be a standout candidate. However, if you have an expertise in Python for developing ETL pipelines, data warehousing, and some cloud experience, this could be a fit for you. This group is looking for a team player who\u0027s interested in learning new technologies in an evolving organization. If this sounds like you, please apply today!We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .","Title":"Data Analyst","City":"Seattle","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Experience building robust and scalable data integration (ETL) pipelines using Airflow, SQL, Python.Experience in data modeling, ETL development, and Data warehousing.Data Warehousing Experience with RedshiftExperience building data products incrementally and integrating and managing datasets from multiple sources.Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) such as S3, EC2, and EMR (Spark) etc. Preferred QualificationsExperience working in AWS environment preferably AWS Certification completed.Software engineering mindset and strive to write elegant, maintainable code and you\u0027re comfortable working in a variety of tech stacksPractical Knowledge of Linux or Unix shell scripting Strong sense of ownership, urgency, and drive","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":97.5000,"SalaryLow":78.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

An employer is looking for a Sr. Data Engineer in the Seattle, WA area. This entertainment company is looking for a Sr. Data Engineer to join their consumer business division. They are dealing with... large amounts of television and digital data around their customers. This person will be responsible for their Data Warehouse as they evolve into a more cloud based environment. Someone with AWS and Snowflake experience would be a standout candidate. However, if you have an expertise in Python for developing ETL pipelines, data warehousing, and some cloud experience, this could be a fit for you. This group is looking for a team player who's interested in learning new technologies in an evolving organization. If this sounds like you, please apply today!We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Oct 11, 2022

Charlotte, NC

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Data Warehousing

|

Contract

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$44 - $55 (hourly estimate)

{"JobID":226527,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-80.8131818181818,"Longitude":35.1980909090909,"Distance":null},"State":"North Carolina","Zip":"28282","ReferenceID":"CLT-abed0e68-5ab6-4b18-ad23-22e0129f3d17","PostedDate":"\/Date(1665504892000)\/","Description":"Job Description: Lead complex technology initiatives including those that are companywide with broad impact. Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines. Design, code, test, debug, and document for projects and programs. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, or serve as a peer mentor. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .","Title":"Data Engineer","City":"Charlotte","ExpirationDate":null,"PriorityOrder":0,"Requirements":"*+ (Lead Engineer) / - Experienced with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials. *2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP -- Google Cloud *3+ Years of Teradata, Unix *2+ Experience with Agile *4+ (Lead Engineer) Database Tools: Teradata, Load / Unload Utilities, Big Query....","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":55.3100,"SalaryLow":44.2480,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Job Description: Lead complex technology initiatives including those that are companywide with broad impact. Act as a key participant in developing standards and companywide best practices for... engineering complex and large scale technology solutions for technology engineering disciplines. Design, code, test, debug, and document for projects and programs. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives. Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, or serve as a peer mentor. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Feb 24, 2026

Los Angeles, CA

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Data Warehousing

|

Contract

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$64 - $80 (hourly estimate)

{"JobID":498536,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-118.4,"Longitude":33.95,"Distance":null},"State":"California","Zip":"90045","ReferenceID":"LAX-9123f169-e091-42c0-8b37-bda93cba066d","PostedDate":"\/Date(1771893705000)\/","Description":"Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools \u0026 Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"GCP Data Engineer/Architect","City":"Los Angeles","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).? Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.? Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.? Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.? Hands-on experience using DBT for data modeling and transformation workflows.Strong understanding and application of ERD architecture in enterprise data systems.","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":80.0000,"SalaryLow":64.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team... operates across three core areas: AI/ML, Data Engineering, and Data Analytics.? Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. ? Support data visualization initiatives and ensure data is accessible and actionable.? Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.Team Dynamic:Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.Tools & Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones. Mindset: Business-oriented with a strong analytical approach. AI/ML Initiatives (Approx. 5% of time) Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI. Scope: Limited involvement, primarily assisting with existing initiatives and tools. Data Engineering (Approx. 15% of time) Responsibilities: Design and implement scalable data models, pipelines, and architecture.Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 22, 2026

Portland, OR

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Data Warehousing

|

Contract-to-perm

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$40 - $50 (hourly estimate)

{"JobID":485880,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-122.73,"Longitude":45.55,"Distance":null},"State":"Oregon","Zip":"97210","ReferenceID":"POR-ac12c7f7-8c8a-4604-8e96-641d236112e0","PostedDate":"\/Date(1769121035000)\/","Description":"JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Portland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor?s or Master?s degree in Data Science, Computer Science, Statistics, Math, Engineering, or related field.3+ years of experience as a Data Scientist, preferably within banks, credit unions, fintech, or other financial institutions.Hands-on experience with Databricks, Apache Spark, and cloud ecosystems (Azure, AWS, or GCP).Strong proficiency in Python, SQL, and common ML frameworks (scikit-learn, PyTorch, TensorFlow, etc.).Deep understanding of financial data structures, regulatory requirements, and industry workflows.Experience building, deploying, and monitoring machine learning models in production environments.Ability to translate business problems into data-driven solutions with measurable impact.","Skills":"Experience with ML Ops tools (MLflow, Azure DevOps, Databricks Repos, CI/CD pipelines).Familiarity with risk scoring, fraud detection, AML/KYC analytics, credit modeling, or customer segmentation.Knowledge of distributed systems, big data engineering, and scalable architecture design.Strong communication and stakeholder management skills in financial environments.","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":50.0000,"SalaryLow":40.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

JDevelop, deploy, and maintain scalable machine learning models and analytical workflows using Databricks, Apache Spark, and cloud-based data platforms.Partner with financial domain stakeholders to... understand business challenges related to risk, compliance, fraud, lending, investments, and customer analytics.Perform hands-on data exploration, feature engineering, statistical analysis, and modeling using Python, SQL, and Spark.Collaborate with data engineering teams to build reliable data pipelines and ensure high-quality, production-ready datasets.Communicate complex technical findings to non-technical audiences; present actionable insights to business leaders.Apply deep financial services expertise to ensure models meet regulatory expectations (e.g., model documentation, audit, transparency, fairness).Optimize workflows for performance and cost efficiency within Databricks and cloud environments.Design experiments and evaluate model performance using best practices in ML Ops, version control, and reproducibility.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 02, 2026

Urbandale, IA

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Data Warehousing

|

Contract

|

$52 - $65 (hourly estimate)

{"JobID":501457,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-93.74,"Longitude":41.63,"Distance":null},"State":"Iowa","Zip":"50322","ReferenceID":"DSM-5845e510-1bff-467f-9737-cbc40eb06eda","PostedDate":"\/Date(1772490111000)\/","Description":"The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross functional/operating units? collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.? Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.? Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.? Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.? Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.? Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.? Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.? Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.? Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.? Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.Pay rate ranges $55/hr - $65/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Actuarial Data Scientist","City":"Urbandale","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Experience in the Property \u0026 Casualty Insurance Industry ? 3+ years of experience as a Data Scientist or Actuary? Developing pricing models and/or predictive/prescriptive models ? Proficiency in programming languages Python or R? Experience with SQL","Skills":"? Experience building web applications (R Shiny/ Dash) as a workflow integration product. ? Experience with at least one big data technologies platform (Apache Spark, Snowflake, cloud-based platforms ? Microsoft Azure, AWS etc.)? Understanding of NLP \u0026 Large Language models with insights on potential business applications in insurance. Experience in leading a statistical/actuarial based analytical project.","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":65.0000,"SalaryLow":52.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross... functional/operating units? collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.? Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.? Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.? Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.? Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.? Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.? Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.? Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.? Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.? Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.Pay rate ranges $55/hr - $65/hrWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 24, 2026

San Francisco, CA

|

Software Engineering

|

Contract

|

$52 - $65 (hourly estimate)

{"JobID":499084,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.39,"Longitude":37.78,"Distance":null},"State":"California","Zip":"94105","ReferenceID":"SFR-19d50c15-826c-47ca-a8d0-6c3a324f0a01","PostedDate":"\/Date(1771972317000)\/","Description":"A hands-on engineer responsible for designing, building, and scaling modern marketing data platforms. This role focuses on big-data pipelines, cloud-native architectures, and MarTech integrations, partnering closely with engineering and business teams to enable data-driven customer engagement and analytics.Onsite one day a week (Tuesday) in SF!We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Martech Lead Data Engineer","City":"San Francisco","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Strong expertise in Python (8+ years preferred)- Experience with Databricks or comparable big-data platforms- Hands-on experience building services using Java- - Strong proficiency in big-data technologies: Scala, Spark SQL, Spark Streaming","Skills":"Familiarity with Adobe CampaignExperience with AI tools, including ClaudeBackground in MarTech platforms and data workflows","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":65.0000,"SalaryLow":52.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A hands-on engineer responsible for designing, building, and scaling modern marketing data platforms. This role focuses on big-data pipelines, cloud-native architectures, and MarTech integrations,... partnering closely with engineering and business teams to enable data-driven customer engagement and analytics.Onsite one day a week (Tuesday) in SF!We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 03, 2026

Frisco, TX

|

Database Administrator (DBA)

|

Perm

|

$220k - $246k (estimate)

{"JobID":501865,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-96.81,"Longitude":33.14,"Distance":null},"State":"Texas","Zip":"75034","ReferenceID":"SJC-926f5e1a-5451-4ac7-b389-5e4f2a8b90b7","PostedDate":"\/Date(1772565960000)\/","Description":"Insight Global is seeking a hands-on Principal Data Architect to sit hybrid at a cybersecurity client in Newport Beach, San Jose, or Frisco Texas. You bring a strong background in big data engineering, modern lakehouse architectures, and decentralized data governance. This is a unique opportunity to define the strategic vision for their next-generation data platform, transition our ecosystem to a Data Mesh paradigm, and implement robust security standards across a petabyte-scale environment.(This role can pay 220,000-245,000 based on years of experience).We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Principal Data Architect ? Modern Data Platforms \u0026 Data Mesh","City":"Frisco","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-10+ years of professional software and data engineering experience, with a significant portion in a technical leadership or architectural role.-Proven track record of transforming monolithic data warehouses into decentralized Data Mesh architectures, including experience with data contracts and federated governance.-Deep, hands-on expertise with modern data platforms such as Databricks and Snowflake, including optimizing compute clusters and managing costs.-Strong proficiency in distributed computing frameworks (Apache Spark) and open standards (Delta Lake, Iceberg, Hudi).-Extensive experience implementing data privacy regulations (GDPR, CCPA) via technical controls like data masking, tokenization, and encryption at rest/in transit.-Expert-level proficiency in Python, SQL, and Scala/Java. -You treat data pipelines as code, strictly adhering to CI/CD, unit testing, and version control best practices.Deep understanding of event-driven architectures (Kafka, Kinesis) and workflow orchestration tools (Airflow, dbt, Dagster).-Hands-on experience implementing data discovery and governance tools such as Unity Catalog, Alation, or Collibra.-Strong understanding of the end-to-end machine learning lifecycle, including model registry, feature stores, and model serving","Skills":"","Industry":"Database Administrator (DBA)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":245680.0000,"SalaryLow":220000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a hands-on Principal Data Architect to sit hybrid at a cybersecurity client in Newport Beach, San Jose, or Frisco Texas. You bring a strong background in big data... engineering, modern lakehouse architectures, and decentralized data governance. This is a unique opportunity to define the strategic vision for their next-generation data platform, transition our ecosystem to a Data Mesh paradigm, and implement robust security standards across a petabyte-scale environment.(This role can pay 220,000-245,000 based on years of experience).We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 02, 2026

Marshall, PA

|

Computer Engineering

|

Perm

|

$90k - $130k (estimate)

{"JobID":501509,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-80.09,"Longitude":40.64,"Distance":null},"State":"Pennsylvania","Zip":"15086","ReferenceID":"PIT-3f9b414c-31c6-48e6-9716-af91ddc7a070","PostedDate":"\/Date(1772493668000)\/","Description":"One of our clients within the Financial Services space is looking for a full-time Data Engineer to support their organization. This position is part of the Enterprise Data \u0026 Analytics Capability team under Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform. Day to day responsibilities include the following:?Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)?Write clean, efficient and maintainable PySpark or SQL code for data transformation?Design robust data models for analytics and reporting?Ensure data quality, consistency, and governance?Handle batch and streaming data workflows?Provide architectural guidance and support in platform usage?Drive best practices in data engineering across the team?Monitor and optimize performance of Spark jobs and cluster usage?Ensure compliance with security and data privacy standardsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer","City":"Marshall","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bach Degree in IT related field?Databricks?Experience programming and working with a big data platform?Strong background working with large data setsoLikely need to come from a larger enterprise company who has large sets of data?Python?SQL?Experience with CI/CD pipelines and version control tools","Skills":"-Experience with data visualization tools and BI platforms-Certification in Databricks or relevant cloud platforms","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":130000.0000,"SalaryLow":90000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

One of our clients within the Financial Services space is looking for a full-time Data Engineer to support their organization. This position is part of the Enterprise Data & Analytics Capability... team under Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform. Day to day responsibilities include the following:?Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)?Write clean, efficient and maintainable PySpark or SQL code for data transformation?Design robust data models for analytics and reporting?Ensure data quality, consistency, and governance?Handle batch and streaming data workflows?Provide architectural guidance and support in platform usage?Drive best practices in data engineering across the team?Monitor and optimize performance of Spark jobs and cluster usage?Ensure compliance with security and data privacy standardsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Jan 09, 2026

Nashville, TN

|

Data Warehousing

|

Contract

|

$27 - $34 (hourly estimate)

{"JobID":481098,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-86.78,"Longitude":36.17,"Distance":null},"State":"Tennessee","Zip":"37215","ReferenceID":"DEN-41eaf3ee-3287-4717-abc1-6b97bfc1a7ba","PostedDate":"\/Date(1767997991000)\/","Description":"A healthcare client of ours is looking for multiple Data Engineers to join their growing team. This team is currently working on a project to modernize on prem SQL warehouses to snowflake. The data warehouse is built, so you will be supporting the build out of data marts on top of their Snowflake enterprise warehouse. This includes lifting and shifting existing data marts, building net new data marts, and further integrations. Additionally, the data engineering team designs, tests, deploys and maintains data pipelines and establishes a strong data reporting environment. This company operates within an AWS environment which is supported by their DevOps team; however, any cloud integration experience could be helpful. This position is currently slated as a 6-month contract, with high likelihood to extend for an additional 6+ months. Furthermore, this org has a large pipeline of project work for the next three years, so continuous extensions are likely. Insight Global offers full benefits while on contract. If you\u0027re interested, apply today!We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Data Engineer / ETL Developer- INTL Brazil","City":"Nashville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"4+ years of data engineering experience - building data warehouses and ETL pipelines3+ years of experience with Snowflake DatawarehouseStrong Python scripting experienceWell versed with data martsStrong understanding of SQL including: SSIS, SSAS, \u0026 SSRS","Skills":"Experience working within the healthcare industry, provider side highly preferredRed Shift database experienceTableau experienceExperience working in an AWS environmentExperience with big data tools: Hadoop, Spark, Kafka","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":34.0000,"SalaryLow":27.2000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A healthcare client of ours is looking for multiple Data Engineers to join their growing team. This team is currently working on a project to modernize on prem SQL warehouses to snowflake. The data... warehouse is built, so you will be supporting the build out of data marts on top of their Snowflake enterprise warehouse. This includes lifting and shifting existing data marts, building net new data marts, and further integrations. Additionally, the data engineering team designs, tests, deploys and maintains data pipelines and establishes a strong data reporting environment. This company operates within an AWS environment which is supported by their DevOps team; however, any cloud integration experience could be helpful. This position is currently slated as a 6-month contract, with high likelihood to extend for an additional 6+ months. Furthermore, this org has a large pipeline of project work for the next three years, so continuous extensions are likely. Insight Global offers full benefits while on contract. If you're interested, apply today!We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 23, 2026

New York, NY

|

Data Warehousing

|

Perm

|

$150k - $170k (estimate)

{"JobID":498435,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-73.99,"Longitude":40.71,"Distance":null},"State":"New York","Zip":"10017","ReferenceID":"CLV-37acf1b4-5c7f-4434-837f-27c5fb75e575","PostedDate":"\/Date(1771883593000)\/","Description":"Design, implement, and maintain complex data pipelines, ensuring scalability and reliability using Airflow, dbt, Rivery, Python, and SQL, enabling robust ingestion and transformation of structured and semi-structured dataServe as a strategic partner to business teams, working closely with stakeholders to translate high-level goals into data solutions that support forecasting, performance tracking, and optimizationDevelop and maintain clean, well-documented data models in Snowflake and BigQuery that support analytics, reporting, and operational workflows and contribute to architecture decisionsIntegrate data from a variety of internal and external sources, including Google Analytics and third-party APIs, to support full-funnel visibility across departmentsEnable self-service analytics by ensuring data assets are discoverable and usable via tools such as Tableau, including thoughtful semantic layer design and performance tuningContribute to the development of robust monitoring and observability practices for data quality and pipeline healthCollaborate on architecture and design decisions, including cloud infrastructure and containerization using AWS. Pulumi and DockerMaintain strong documentation and promote engineering standards that ensure transparency, maintainability, and reusability of data systems150-170kWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Senior Data Engineer","City":"New York","ExpirationDate":null,"PriorityOrder":0,"Requirements":"7+ years of professional experience in data engineering, analytics engineering, or related roles. Advanced proficiency in SQL and Python, with expertise in efficient query writing, data structures, and software engineering principles. Hands-on experience with Snowflake and/or Big Query, including data modeling and performance optimization. Proficiency with orchestration tools (e.g., Airflow) and data integration tools like dbt. Experience working with cloud platforms, especially AWS, for data storage, compute, and infrastructure management, including services such as AWS Batch, ECR, Lambda functions, and related tools. Familiarity with data analytics and visualization tools, particularly Tableau, and ability to support data consumers in building actionable dashboards. Experience with marketing and product data sources, including Google Analytics and similar platforms. Strong knowledge of ETL/ELT design and data warehousing solutions. Familiarity with CI/CD pipelines and DevOps practices for data engineering. Strong skills in Microsoft Suite for documentation and collaboration. Robust experience with API design and integration. Familiarity with SCRUM development methodologies and tools like Jira","Skills":"Jewelry experience","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":170000.0000,"SalaryLow":150000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Design, implement, and maintain complex data pipelines, ensuring scalability and reliability using Airflow, dbt, Rivery, Python, and SQL, enabling robust ingestion and transformation of structured... and semi-structured dataServe as a strategic partner to business teams, working closely with stakeholders to translate high-level goals into data solutions that support forecasting, performance tracking, and optimizationDevelop and maintain clean, well-documented data models in Snowflake and BigQuery that support analytics, reporting, and operational workflows and contribute to architecture decisionsIntegrate data from a variety of internal and external sources, including Google Analytics and third-party APIs, to support full-funnel visibility across departmentsEnable self-service analytics by ensuring data assets are discoverable and usable via tools such as Tableau, including thoughtful semantic layer design and performance tuningContribute to the development of robust monitoring and observability practices for data quality and pipeline healthCollaborate on architecture and design decisions, including cloud infrastructure and containerization using AWS. Pulumi and DockerMaintain strong documentation and promote engineering standards that ensure transparency, maintainability, and reusability of data systems150-170kWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

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