
Sr Data Engineer (Azure Databricks)
Woonsocket, RIJobSeen todaySeen in employer's feed today
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Job overview
The Sr Data Engineer will design, develop, and deploy Azure Databricks pipelines using PySpark and Delta Live Tables, modernize legacy SQL pipelines, and build configuration‑driven data flows with YAML and JSON. They will manage CI/CD processes, implement Medallion Architecture, ensure data quality and scalability, and support healthcare‑focused initiatives involving member, claims, and operational datasets.
Skills & qualifications
Skills
Qualifications
Full job description
Job Description
- Design, develop, and deploy Azure Databricks data pipelines using PySpark and Delta Live Tables
- Modernize legacy on-prem SQL pipelines into scalable cloud-native Databricks solutions
- Build configuration-driven data pipelines using YAML, JSON, and reusable framework patterns
- Develop and maintain CI/CD deployment processes for data engineering workflows
- Implement and support Medallion Architecture pipelines across Bronze, Silver, and Gold layers
- Partner with upstream and downstream teams to ensure data quality, reliability, and scalability
- Troubleshoot and resolve production pipeline issues across Databricks and legacy SQL environments
- Enhance monitoring, observability, and operational support processes
- Support Medicare and payer-focused initiatives involving member, claims, and operational datasets
- Follow established architecture standards and engineering best practices to ensure platform consistency and maintainability
Skills and Requirements
- 5-7+ years of Data Engineering experience building large-scale data platforms
- Strong hands-on experience with Azure Databricks, Delta Lake, and Azure Data Lake Storage (ADLS)
- Advanced PySpark development experience, including DataFrames, transformations, joins, aggregations, and performance tuning
- Experience developing and maintaining Delta Live Tables (DLT) pipelines
- Strong SQL background with experience supporting legacy data warehouse environments
- Experience migrating SQL-based pipelines to modern Python/PySpark architectures
- Experience with Infrastructure as Code (IaC) and Pipeline as Code methodologies
- Proficiency with YAML, JSON, and configuration-driven development patterns
- Experience automating CI/CD deployments using DevOps pipelines
- Strong understanding of Medallion Architecture (Bronze, Silver, Gold)
- Experience building ingestion, transformation, and curation pipelines across Bronze, Silver, and Gold layers
- Experience troubleshooting, monitoring, and supporting production data pipelines
- Familiarity with Databricks Asset Bundles, Unity Catalog, and Delta Lake preferred
- Healthcare industry experience preferred
- Medicare, payer, member enrollment, or claims data experience strongly preferred Understanding of healthcare data quality, PHI/PII handling, and regulatory requirements preferred
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
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