Data Engineer
540Remotely
Listed on 3 job boards, which is a stronger signal than one board alone.
pythonsqlsparkdata pipelinesetldata modelingdatadatabricksrest apis
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Job Description
📋 Description
- Design, develop, and maintain scalable production data pipelines in Spark, Python, and SQL
- Integrate diverse health, financial, and operational data into reusable data products
- Develop data models and analytics datasets for reporting and decision making
- Build and maintain API-based data integrations across systems
- Monitor, troubleshoot, and optimize production pipelines for performance and reliability
- Implement data validation, lineage, and governance practices
🎯 Requirements
- 3+ years of data engineering, software engineering, or related experience
- Strong proficiency with Python and SQL
- Experience with Apache Spark or similar frameworks
- Experience with Databricks or similar modern data platform
- Experience building production data pipelines and ETL/ELT
- Working knowledge of data modeling and transforming raw data into analytics datasets
🎁 Benefits
- Flexible PTO + federal holidays off
- Health, dental, and vision insurance
- Flexible Spending Account (FSA)
- 401k with employer match
- Company-sponsored life insurance and disability
- Professional development (training, certifications, conferences)
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