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Jan 26, 2026

Camden, NJ

|

IT (DNU)

|

Perm

|

$95k - $120k (estimate)

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The Data Scientist plays a pivotal role in planning, executing, and delivering machine learning-based projects that drive business impact. This role involves analyzing large datasets, developing... AI/ML/optimization models, and translating findings into actionable insights. The Data Scientist partners with business and operational leaders, supports senior leadership with analytics, and fosters a culture of data-driven decision-making across the organization.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 25, 2026

Palo Alto, CA

|

Software Engineering

|

Contract

|

$46 - $57 (hourly estimate)

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Infrastructure team is seeking a skilled Full-Stack Machine Learning Engineer to join their mission of accelerating the world?s transition to sustainable energy. You will develop in-house tools that... automate complex processes and empower our engineers to design faster and operate more efficiently. You?ll build scalable, data-driven user interfaces that drive companies internal designs and operations while shaping a sustainable future. Your work will directly impact companies mission by enabling intuitive, visually compelling tools that enhance operational efficiency.What You?ll Do- Design, develop, test, deploy, scale, and maintain user-friendly web applications and tools that automate existing design workflows and visualize machine learning experiments and models- Combine multiple data-sources and leverage millions of data points to build robust and scalable end-to-end learning-based systems. This includes training and evaluation code in Python to back-end and front-end work in JavaScript- Collaborate with cross-functional teams to integrate software systems into companies ecosystem, ensuring seamless deployment and operationBuild dashboards that provide real-time insights into performance, progress, and key metrics for engineers and leadership- Proactively identify and resolve performance bottlenecks related to infrastructure, memory, and runtime efficiencyPresent progress at project milestones to stakeholders and cross-functional teamsPay Range for this role is: $59 - $69 depending on years of experience and educationWe 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 16, 2026

Spring, TX

|

Database Administrator (DBA)

|

Perm

|

$150k - $180k (estimate)

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Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management.? Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights.? Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance.? Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake.? Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines.? Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance.? Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps.? Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview.? Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics.? Mentor data scientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth.? Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration.? Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps.? Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning. This position is required to sit onsite in Spring, TX 3 days / week (Tues-Thurs), and it offers a base salary range of $150,000-$170,000.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":"Senior Data Scientist","City":"Spring","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Bachelor?s Degree in Data Science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience.? Required -5 or more years of experience in Data Science, Information Systems, Computer Science, Engineering, or other field with relevant experience.? Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku.? Strong experience with DataBricks? Skilled in developing scalable ML solutions and translating analytics into business impact.? Advanced proficiency in Python, PySpark, SQL, and tools such as Jupyter, VS Code, and MLflow.? Experience with database technologies and architectures including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics.? Hands-on experience with AutoML platforms such as Dataiku, and familiarity with Azure AutoML.? Deep understanding of Azure Cloud resources, including Azure Machine Learning, Azure DevOps, Azure Cognitive Search, and Azure OpenAI.? Familiarity with Generative AI solutions, Large Language Models, and NLP frameworks like Hugging Face Transformers.","Skills":"? Career Essentials in Generative AI by Microsoft and LinkedIn? Build Your Generative AI Productivity Skills with Microsoft and LinkedIn? Azure AI Fundamentals? Azure Data Scientist Associate? Azure AI Engineer Associate/Databricks Certification","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":180000.0000,"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)\/"}

The Senior Data Scientist II analyzes complex structured and unstructured data using state-of-the-art data science methods for data driven decision making. Develop algorithms that enable machines to... perform tasks that typically require human intelligence. Moreover, this role uses both knowledge of data science and Artificial Intelligence methods and applies them to solve real world problems. The Senior Data Scientist II mentors junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization.What You Will Do:? Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture.? Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management.? Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights.? Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance.? Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake.? Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines.? Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance.? Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps.? Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview.? Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics.? Mentor data scientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth.? Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration.? Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps.? Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning. This position is required to sit onsite in Spring, TX 3 days / week (Tues-Thurs), and it offers a base salary range of $150,000-$170,000.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 25, 2026

San Francisco, CA

|

Training

|

Contract

|

$39 - $49 (hourly estimate)

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Day to day:? Partner with the Field Engineering Enablement team to design and create technical training programs focused on the clients products products for both internal and external audiences. ?... Create end-to-end, product-centric training content that teaches users how to effectively use the software, including hands-on product usage, learning paths, and badge-aligned coursework. ? Translate Training Requirements Documents (TRDs) into detailed course outlines, storyboards, and complete instructional content. ? Build training materials from scratch, including visual assets, technical demonstrations, and recorded instructional content, ensuring clarity and technical accuracy.? Record technical walkthroughs and product demos; collaborate with post-production teams who handle final editing and processing. ? Design and implement interactive learning elements, requiring hands-on use of technical tools, instructional platforms, and light coding to enhance learner engagement. ? Apply working knowledge of the product as a technology platform to ensure training reflects real-world usage and best practices. ? Develop and validate technical examples and exercises using SQL and Python, aligned to how users interact with Databricks in production environments.? Collaborate closely with engineers, enablement stakeholders, and delivery partners to ensure training content aligns with evolving product capabilities and user needs.Pay Rate: $45-55We 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 30, 2026

Reading, PA

|

Software Engineering

|

Contract-to-perm

|

$57 - $71 (hourly estimate)

{"JobID":512332,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-75.92,"Longitude":40.33,"Distance":null},"State":"Pennsylvania","Zip":"19607","ReferenceID":"TPA-46c9ba7c-ac9c-4355-99d3-a78eb2f638c2","PostedDate":"\/Date(1774871429000)\/","Description":"Insight Global is seeking an AI Engineer for an Enterprise client focused on building and operationalizing custom AI and machine learning models for an advanced agentic platform. This role is 100% dedicated to AI model design, testing, and deployment. The engineer will work hands-on creating new models, supporting existing custom models, and collaborating closely with data scientists to bring AI solutions into production using Amazon SageMaker and Dataiku. This is an excellent opportunity for a true AI/ML engineer who wants to work on modern agent systems, custom MCP development, and next-generation AI technologies.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":"AI Engineer","City":"Reading","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5+ years of experience as an Engineer ? Ability to build an AI Model, test, and operationalize them ? Python(3.11+) hands-on experience building robust applications and agentic logic? Hands-on experience with Amazon SageMaker for building, training, and deploying machine learning models? Proficiency in data preparation and analytics using Dataiku? Solid understanding of core Machine Learning concepts and model lifecycle management? AWS Bedrock AgentCore (2025? Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers? Multi-Agent Orchestration? Experience building or enabling collaborative systems using frameworks like LangGraph, CrewAI, or AutoGen? Model Context Protocol (MCP)? Strong understanding of MCP and modern tool/API integration patterns for AI agent? AWS Certification (AWS Certified Solutions Architect/Associate, Certified Developer/Associate, or AWS Certified AI Practitioner)Willingness to learn emerging AI technologies, frameworks, and evolving cloud services","Skills":"","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":71.0000,"SalaryLow":56.8000,"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 an AI Engineer for an Enterprise client focused on building and operationalizing custom AI and machine learning models for an advanced agentic platform. This role is 100%... dedicated to AI model design, testing, and deployment. The engineer will work hands-on creating new models, supporting existing custom models, and collaborating closely with data scientists to bring AI solutions into production using Amazon SageMaker and Dataiku. This is an excellent opportunity for a true AI/ML engineer who wants to work on modern agent systems, custom MCP development, and next-generation AI technologies.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/.

Apr 15, 2026

Saint-Paul, MN

|

Data Warehousing

|

Perm

|

$29k - $36k (estimate)

{"JobID":519487,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-93.1,"Longitude":44.94,"Distance":null},"State":"Minnesota","Zip":"55102","ReferenceID":"MSP-78bec63d-5b42-49aa-9313-e3cde3a48e31","PostedDate":"\/Date(1776293892000)\/","Description":"We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.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":"Senior Lead/Principal Data Scientist - INTL","City":"Saint-Paul","ExpirationDate":null,"PriorityOrder":0,"Requirements":"9+ years of experience as a Lead or Principal Data ScientistAbility to storytell with stakeholdersFormer experience being heavily involved in end to end stages (proof of concept to production)Strong foundation in classical machine learning (Classical ML), statistical modeling, and regression methods. Educational background in Statistics, Mathematics, Physics, Chemistry, Data Science, Computer Science, Engineering, or a related quantitative field. Strong experience with Snowflake Experience with GenAI concepts, tools, or applied use cases. Strong experience preparing, wrangling, and transforming structured datasets. Ability to work independently with minimal direction while managing multiple analytical workstreams. Excellent communication, data storytelling, and stakeholder management skills.","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":36000.0000,"SalaryLow":28800.0000,"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)\/"}

We are seeking a Principal Data Scientist with strong expertise in classical machine learning, regression modeling, and statistical predictive analytics. This role is ideal for someone with a... statistics-focused educational background (or similar quantitative discipline) who can independently drive model development, translate business needs into analytical solutions, and deliver impactful insights to stakeholders. You will work extensively with structured hospitality data to build features, develop predictive models, and support sales and service?focused use cases. This is a highly independent, creative role requiring strong communication, storytelling, and stakeholder partnership skills. Responsibilities include: Develop, test, and deploy classical machine learning models, with a core focus on regression-based predictive modeling. Prepare, clean, and transform structured data to build high quality features for modeling. Collaborate regularly with cross functional stakeholders to understand business goals, clarify requirements, and align analytical work with strategic needs. Own end to end development of sales and service?specific use cases, from discovery to deployment. Communicate complex analytical findings in a compelling, accessible way to both technical and non technical audiences. Explore and apply GenAI techniques as they enhance modeling, efficiency, and analysis workflows. Work independently to structure analytical approaches, evaluate methods, and recommend model driven solutions.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/.

Apr 08, 2026

Greenwood Village, CO

|

Data Warehousing

|

Contract-to-perm

|

$48 - $60 (hourly estimate)

{"JobID":516439,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-104.99,"Longitude":39.64,"Distance":null},"State":"Colorado","Zip":"80111","ReferenceID":"DEN-aef7351c-d5cb-49c2-b346-c3af4daf0c12","PostedDate":"\/Date(1775656423000)\/","Description":"A client of Insight Global is seeking a Senior Data Engineer to support a high-impact Connectivity project, focused on building and maintaining scalable data pipelines that ingest, clean, transform, and integrate both structured and real-time streaming data. This role partners closely with Data Scientists to deliver production-ready datasets that power advanced analytics and machine learning models.Key ResponsibilitiesDesign, build, and maintain robust data pipelines for both batch and real-time data ingestion, including structured sources and raw streaming data from KafkaClean, transform, and standardize incoming data to ensure high-quality, analytics-ready datasetsIntegrate curated data pipelines with machine learning models developed by Data Science teamsDevelop and optimize workflows using Apache Airflow for scheduling and orchestrationBuild cloud-native data solutions leveraging AWS, including S3, Kubernetes, and related servicesWrite high-quality, scalable code in Python and ScalaSupport deployment, monitoring, and performance tuning of data pipelines in production environmentsCollaborate cross-functionally with Data Scientists, Software Engineers, and Product teams to align data solutions with business needsThis role is 3 days a week onsite in Greenwood Village CO and pays between $60- $70 per hourWe 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":"Greenwood Village","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5?7+ years of experience as a Data Engineer or in a similar roleStrong hands-on experience with Python and ScalaExperience working with AWS cloud services, specifically S3Expertise in Kubernetes for containerized workloadsExperience with Apache Airflow for workflow orchestrationHands-on experience processing real-time streaming data (Kafka or similar)","Skills":"Master?s degree in Computer Science, Data Engineering, or a related fieldPrior experience supporting data pipelines for machine learning or advanced analytics use casesExperience working on connectivity, network, or platform-oriented data projectsBackground in productionizing data solutions in complex enterprise 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":60.0000,"SalaryLow":48.0000,"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 client of Insight Global is seeking a Senior Data Engineer to support a high-impact Connectivity project, focused on building and maintaining scalable data pipelines that ingest, clean, transform,... and integrate both structured and real-time streaming data. This role partners closely with Data Scientists to deliver production-ready datasets that power advanced analytics and machine learning models.Key ResponsibilitiesDesign, build, and maintain robust data pipelines for both batch and real-time data ingestion, including structured sources and raw streaming data from KafkaClean, transform, and standardize incoming data to ensure high-quality, analytics-ready datasetsIntegrate curated data pipelines with machine learning models developed by Data Science teamsDevelop and optimize workflows using Apache Airflow for scheduling and orchestrationBuild cloud-native data solutions leveraging AWS, including S3, Kubernetes, and related servicesWrite high-quality, scalable code in Python and ScalaSupport deployment, monitoring, and performance tuning of data pipelines in production environmentsCollaborate cross-functionally with Data Scientists, Software Engineers, and Product teams to align data solutions with business needsThis role is 3 days a week onsite in Greenwood Village CO and pays between $60- $70 per hourWe 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 04, 2026

San Francisco, CA

|

Engineering (Non IT)

|

Perm

|

$150k - $170k (estimate)

{"JobID":502556,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-122.39,"Longitude":37.78,"Distance":null},"State":"California","Zip":"94105","ReferenceID":"DGW-1482804e-5237-4289-bbb9-1d72648eda7c","PostedDate":"\/Date(1772659101000)\/","Description":"Insight Global is seeking a Field Integration Engineer to provide hands-on technical integration support for key partners. This client builds machine learning software that runs at the tactical edge to support U.S. and allied warfighters. You will be responsible for deploying and configuring Frontline Perception System (FPS) in operational settings, ensuring successful integration with local systems and infrastructure.Key Responsibilities:? Provide on-site integration and technical support for FPS deployments in Australia.? Collaborate with U.S.-based engineering and product teams to ensure effective system configuration and data flow.? Troubleshoot hardware and software issues in real time, ensuring operational readiness.? Train local users on FPS functionality and workflows.? Serve as company\u0027s primary technical point of contact on the ground.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":"Field Engineer","City":"San Francisco","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5+ years of integration, field engineering or DevOps experience? Must hold an active U.S. security clearance and be TS/SCI eligible? Strong understanding of system integration, networking (IP, DHCP, LAN/WAN), and Linux-based environments? Experience working on Impact Level 6 or Impact Level 7 networking? Strong understanding of IPS and DNS resolution? Experience supporting defense or national security customers? Physically capable to carry equipment up to 25 lbs and be active for 8?10-hour days","Skills":"? Familiarity with machine learning workflows or tactical sensor systems is a plus? U.S. military experience preferred? Bachelor\u0027s degree in Computer Science, Engineering, or equivalent experience preferred","Industry":"Engineering (Non IT)","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)\/"}

Insight Global is seeking a Field Integration Engineer to provide hands-on technical integration support for key partners. This client builds machine learning software that runs at the tactical edge... to support U.S. and allied warfighters. You will be responsible for deploying and configuring Frontline Perception System (FPS) in operational settings, ensuring successful integration with local systems and infrastructure.Key Responsibilities:? Provide on-site integration and technical support for FPS deployments in Australia.? Collaborate with U.S.-based engineering and product teams to ensure effective system configuration and data flow.? Troubleshoot hardware and software issues in real time, ensuring operational readiness.? Train local users on FPS functionality and workflows.? Serve as company's primary technical point of contact on the ground.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/.

Apr 22, 2026

Sacramento, CA

|

Data Warehousing

|

Contract-to-perm

|

$58 - $72 (hourly estimate)

{"JobID":522275,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-121.37,"Longitude":38.58,"Distance":null},"State":"California","Zip":"95864","ReferenceID":"SMF-7417d2b2-8e54-48f9-8bf5-de8f1dff7bcc","PostedDate":"\/Date(1776898414000)\/","Description":"Insight Global is seeking a Data Scientist to support the Mobile Equipment group within a large, asset intensive construction organization. This role focuses on designing, developing, and deploying data science and machine learning solutions that improve mobile equipment operations, including predictive maintenance, fleet performance, equipment reliability, and downtime reduction. This individual will work cross functionally with data engineering, operations, and business leaders to translate complex equipment and operational data into scalable, production ready analytics, while regularly presenting insights to executive-level leadership.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":"Sacramento","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Master?s degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field?5+ years of hands-on experience building, validating, and deploying predictive models and machine learning solutions in production environments?Strong programming experience with Python or R, including ML libraries such as scikit-learn, XGBoost/LightGBM, and pandas?Advanced SQL skills with experience working in cloud-based data platforms (Azure, Databricks, or similar)","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":72.0000,"SalaryLow":57.6000,"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 Data Scientist to support the Mobile Equipment group within a large, asset intensive construction organization. This role focuses on designing, developing, and deploying... data science and machine learning solutions that improve mobile equipment operations, including predictive maintenance, fleet performance, equipment reliability, and downtime reduction. This individual will work cross functionally with data engineering, operations, and business leaders to translate complex equipment and operational data into scalable, production ready analytics, while regularly presenting insights to executive-level leadership.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/.

Apr 16, 2026

Dublin, OH

|

Data Warehousing

|

Contract-to-perm

|

$36 - $45 (hourly estimate)

{"JobID":519719,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-83.13,"Longitude":40.11,"Distance":null},"State":"Ohio","Zip":"43017","ReferenceID":"DGO-6213ff2d-58ca-4ce4-b933-118068be1e90","PostedDate":"\/Date(1776355329000)\/","Description":"We are hiring for a Data Scientist in Columbus (or Cleveland) Ohio. You will join a growing team focused on applied AI and large language model (LLM) development. This is a developer-style data science role and is ideal for someone who enjoys heads-down coding, building models end-to-end, and turning AI concepts into production-ready solutions.This role will work closely with internal teams and external AI vendors on large-scale automation and AI initiatives.Responsibilities include:- Design, build, and deploy data models and machine learning solutions, with a heavy emphasis on LLMs and applied AI use cases- Develop and productionize AI solutions end-to-end (data ingestion, modeling, testing, deployment)- Work hands-on in Python and modern ML/AI frameworks to build scalable, maintainable solutions- Partner with engineering teams and vendors to integrate AI models into real-world systems- Contribute to large, high-visibility AI projects focused on automation and intelligent decision-making- Continuously improve model performance, reliability, and scalability in production environmentsWe 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":"Dublin","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- Strong engineering background with a data science or machine learning focus- Hands-on, developer-oriented mindset (this is not a research-only role) and comfort working ?heads-down? on complex technical problems- Experience in Building Silver and Gold Layer of Data Lake - Medallion- Experience in Building Data Science Models - Unsupervised Learning preferred- Proficient at Python, Airflow DAG, Azure Data Factory, PostgreSQL Database, SQL Queries - Performance Tuning","Skills":"- LangChain, pgVector","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":45.0000,"SalaryLow":36.0000,"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)\/"}

We are hiring for a Data Scientist in Columbus (or Cleveland) Ohio. You will join a growing team focused on applied AI and large language model (LLM) development. This is a developer-style data... science role and is ideal for someone who enjoys heads-down coding, building models end-to-end, and turning AI concepts into production-ready solutions.This role will work closely with internal teams and external AI vendors on large-scale automation and AI initiatives.Responsibilities include:- Design, build, and deploy data models and machine learning solutions, with a heavy emphasis on LLMs and applied AI use cases- Develop and productionize AI solutions end-to-end (data ingestion, modeling, testing, deployment)- Work hands-on in Python and modern ML/AI frameworks to build scalable, maintainable solutions- Partner with engineering teams and vendors to integrate AI models into real-world systems- Contribute to large, high-visibility AI projects focused on automation and intelligent decision-making- Continuously improve model performance, reliability, and scalability in production environmentsWe 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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