Principal Data Engineer
Job Summary
Owning the end-to-end architecture and delivery of scalable data solutions, the full-time Principal Data Platform Engineer will work remotely to lead the design and implementation of data pipelines while serving as the primary technical lead for healthcare and life sciences clients.
Key responsibilities:
- Lead the design and implementation of data pipelines, models, and transformation frameworks for analytics and reporting
- Serve as the primary client-facing technical lead, guiding stakeholders through complex data decisions
- Establish best practices across data engineering processes, including ingestion, pipeline orchestration, and DevOps/CI-CD
Required qualifications:
- 7+ years of data engineering experience with progression into technical leadership and architecture ownership
- Deep expertise in Databricks and modern lakehouse architectures, including Delta Lake and Spark-based processing
- Advanced SQL and Python skills with experience in building and optimizing large-scale data pipelines
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and data services
- Solid understanding of data modeling concepts, ETL/ELT patterns, and distributed data processing
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