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Data Engineer
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Full-time
- The Data Engineer will primarily create and deploy robust, repeatable, and automated data pipelines that will ingest and transform raw data to support various advanced analytics and machine learning models.
- Work collaboratively with data scientists, data analysts, and client engagement managers to create and deploy dynamic data applications or data visualization tools that help our customers make meaningful business decisions.
- Writing re-usable code in Python, SQL, Java or other languages, and working to refine it through code review and discussion
- Undergraduate and graduate degrees in engineering, computer science, analytics, math, finance, accounting, management information systems, social sciences, physics, or decision science.
- Design, build, and deploy data engineering pipelines that extracts, transforms raw data into analytics base tables to support downstream machine learning models using languages such as Python, R and SQL
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