Data Engineer
Daniels Health•Chicago, IL
•Remote
About The Position
A technical Data Engineer who is responsible for designing, building, and implementing data infrastructure that powers the organization’s analytics, system integrations, and AI initiatives. This role is responsible for architecting scalable pipelines that ingest data from a wide range of applications, APIs, databases, files, and SaaS platforms into Databricks.
Requirements
- 5+ years of data engineering or software engineering experience
- Advanced SQL and Python expertise with proven ability to write efficient, scalable code
- Expert level experience using Databricks
- Familiarity with GitHub, version control workflows, and automated testing practices
- Understanding of data quality frameworks and experience working in Agile/Scrum environments
- Deep understanding of data modeling techniques, ETL/ELT, and medallion architecture.
Responsibilities
- Architect, build, and maintain robust ELT/ETL pipelines ingesting data from custom applications, third‑party APIs, databases, files, and SaaS platforms into Databricks.
- Develop and maintain reverse ETL pipelines to move curated data from Databricks back into operational or application systems.
- Transform raw data into structured and governed bronze and silver datasets using PySpark, SQL, Databricks notebooks/jobs and similar languages.
- Implement schema management, data normalization, change-data-capture processing, and incremental load strategies.
- Optimize ETL performance, data storage, and job execution costs.
Benefits
- medical, dental, and vision insurance
- retirement savings plans with company match contributions
- paid vacation and sick time
- wellness resources
- life insurance
- professional development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
