Data Engineer

EvidenceCare•Nashville, TN

25d•Hybrid

About The Position

We're looking for a Data Engineer who combines deep expertise in data infrastructure with strong Python programming skills. You'll design and maintain ETL processes, build applications that perform complex data calculations, and generate reports that drive business decisions. You'll work across our data stack—from ingestion through to our data warehouse—and own the systems that turn millions of rows of raw data into actionable insights.

Requirements

3-5 years of experience in data engineering or a similar role
Strong proficiency in Python, including experience building production applications (not just scripts)
Comfortable working with legacy codebases—you can navigate unfamiliar code, understand its intent, and improve it incrementally without breaking things
Solid SQL skills with experience in PostgreSQL, data warehouse platforms, query optimization, and schema design
Experience building and maintaining ETL pipelines that process millions of rows reliably
Experience with cloud data platforms, preferably AWS and Snowflake
Familiarity with data orchestration tools (Airflow, Dagster, or similar)
Understanding of software engineering best practices: version control, testing, code review, CI/CD
Ability to communicate technical concepts clearly to both technical and non-technical audiences

Nice To Haves

Experience in healthcare or another compliance-sensitive industry
Familiarity with reporting frameworks or BI tools
Exposure to containerization (Docker, Kubernetes)
Experience with event-driven architectures or message queues

Responsibilities

Design and build data pipelines that are reliable, performant, and maintainable
Develop Python applications for data calculation, transformation, and automated report generation
Maintain and enhance existing legacy Python applications while we modernize our platform—this includes bug fixes, performance improvements, and incremental refactoring
Work with SQL databases (PostgreSQL, Snowflake) to optimize queries, design schemas, and ensure data integrity
Contribute to the design and maintenance of our data warehouse architecture
Build and maintain APIs and services that expose data products to internal and external consumers
Contribute to data quality frameworks, monitoring, and alerting
Participate in architecture decisions and help evolve our data platform- Collaborate with Product and Clinical teams to translate business requirements into technical solutions