dbt / Data Engineer
Overview
Lead ownership of data pipeline architecture and delivery for a healthcare analytics platform. Build scalable solutions that drive insights across enterprise systems. Shape technical direction and mentor junior engineers.
What You'll Do9
- 1Design and implement robust ETL workflows using Python and SQL to integrate disparate data sources
- 2Develop and maintain dbt models with automated testing and version control strategies
- 3Collaborate with cross-functional teams to define data requirements and transformation logic
- 4Optimize data processing pipelines using Apache Airflow and cloud infrastructure
- 5Implement CI/CD pipelines for seamless deployment of analytical models
- 6Drive performance improvements through schema design and indexing strategies
- 7Mentor and guide team members on best practices for data engineering
- 8Analyze system bottlenecks and propose architectural enhancements
- 9Ensure compliance with healthcare data governance and security standards
Requirements9
- 15+ years designing and implementing data pipelines with Spark and Airflow
- 24 years experience with dbt in healthcare sector
- 310 years total data engineering background
- 4BCBA certification preferred
- 5AWS Certified preferred
- 6Healthcare industry expertise required
- 7Hybrid work model available
- 8Contract position with long-term commitment
- 9Strategic impact on enterprise decision-making processes
Salary Insight
Salary not disclosed in listing
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