Senior Data Engineer

Design, build, and maintain production-grade data pipelines using PySpark and Spark Declarative Pipelines (Delta Live Tables) on Databricks.
Develop modular, tested, and documented dbt transformation models as part of the team's analytics engineering layer.
Implement and maintain multi-layer data architectures (Bronze/Silver/Gold) on Delta Lake following medallion architecture principles.
Contribute to the migration of data pipelines, stored procedures, and SSIS packages from SQL Server to Databricks, ensuring logic fidelity and data integrity.
Ensure pipeline reliability through robust error handling, data quality checks, and SLA-aligned alerting.
Manage Databricks compute resources, cluster configurations, and job scheduling via Databricks Workflows.
Enforce data security and access controls within pipeline and storage design via Unity Catalog.
Participate in code reviews, contribute to engineering discussions, and help uphold team-wide coding standards.
Write clean, maintainable Python and SQL code following version control and CI/CD best practices.

5+ years of experience in data engineering with a strong focus on pipeline development.
Hands-on expertise with Databricks, including Delta Lake, Databricks Workflows, and Unity Catalog.
Proficiency in PySpark and Apache Spark for large-scale distributed data processing.
Experience building pipelines with Spark Declarative Pipelines (Delta Live Tables).
Working knowledge of dbt for SQL-based transformation development and testing.
Experience processing healthcare data including claims, clinical, EMR/EHR, eligibility, or provider data.
Proficiency in Python and SQL with a disciplined approach to code quality and testing.
Experience with cloud infrastructure (Azure, AWS, or GCP) and CI/CD pipeline tooling.
Understanding of data modeling methodologies: Data Vault 2.0, 3NF, and dimensional modeling (Kimball).
Familiarity with healthcare data compliance considerations (HIPAA) and data standards (HL7, FHIR, ICD-10, CPT, NPI).
Experience with data orchestration tools such as Apache Airflow or Azure Data Factory.
Exposure to streaming data pipelines using Kafka or Databricks Structured Streaming.
Databricks Certified Data Engineer Associate or Professional certification.

Healthcare data experience is essential.

Additional Protection and Discounts

See also