Job Description
This is a unique opportunity to join a high-impact team working on critical data pipelines and transformations that support information security, fraud detection, and access management. You’ll work with a modern data stack and gain exposure to cloud technologies, data reliability practices, and business-facing analytics. Data is generally clean, but candidate may handle some transformations, error handling, and sensitive data scrubbing. Role involves working with information security data sets (member and employee access management, external/internal fraud). Some knowledge of fraud models and machine learning is a plus, but not mandatory.
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/.
Required Skills & Experience
Core Responsibilities
Build and maintain data pipelines using Snowflake, DBT, Talend, and Kafka
Support data transformations for reporting (DL4), error handling, and sensitive data scrubbing
Collaborate cross-functionally to deliver clean, reliable data for fraud detection and access management use cases
Contribute to monitoring and reliability efforts (Datadog, and potentially Grafana/Fortuna)
Work independently — take initiative on code changes, merges, and delivery without handholding
Required Skills
Snowflake (proficiency required)
DBT
Talend
Kafka (receiving/ingestion side)
Data transformation & reporting (DL4)
Error handling & sensitive data scrubbing
Experience in information security data domains (IAM, fraud)
Nice to Have Skills & Experience
Datadog (SLO/SLA monitoring)
Grafana or Fortuna
Fraud model or machine learning exposure
Google SRE / Data Reliability Engineering principles
AI + Machine Learning: Some knowledge of fraud models or ML concepts is a plus, but not required.
Certifications in tools like Snowflake or DBT
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.