Data Engineer
Core
Designing, building, and maintaining data infrastructure and pipelines to enable scalable, data-driven outcomes for analytics and omnichannel initiatives.
Role type
Data Engineer
Builds
ETL pipelines, ingestion workflows, and data solutions for analytics and omnichannel teams
Domain
Life sciences, media, and agency environments
Deliverable
production ML models | infrastructure
Required skills
SQL query writing and optimization, ETL pipeline development, PySpark for large-scale processing, Microsoft Fabric, system architecture understanding
Preferred skills
AI integration, advertising API experience, data visualization tools, CI/CD pipelines
Technologies
Python, SQL, PySpark, Microsoft Fabric, Power BI, Git
Responsibilities
Collaborate with partners to translate business needs into data engineering solutions, design and maintain ETL pipelines, write and optimize SQL queries, investigate and resolve data issues, build scalable PySpark-based solutions
Seniority
Individual Contributor
