Senior Data Engineer

Hiring: Senior Data Engineer | Azure | Databricks | Healthcare Tech

Join a globally distributed engineering team building cutting-edge data solutions that power real impact in healthcare! If you love solving complex data problems and thrive in a fast-paced, collaborative environment this one's for you.

What You'll Do:Build a self-service data platform for reporting & analyticsDesign robust data pipelines using Databricks, SQL, Python, Spark & Delta Lake on Azure (Blob Storage, Data Factory, Event Hubs)Champion ETL/ELT best practices data quality, partitioning, scalability & reusabilityCollaborate with cross-functional teams to integrate data platforms with Tableau, Power BI, APIs, and custom appsDrive CI/CD & automation using Git, Terraform, Azure DevOps/GitHub Actions/Jenkins, and monitoring tools like Azure Monitor/DatadogMentor peers and help shape a strong engineering culture

Must-Have Skills:8 - 10+years of hands-on experience in Apache Spark & Databricks, building scalable pipelines and distributed data systems in cloud environmentsDeep expertise in the Databricks ecosystem Delta Lake, Delta Live Tables (DLT), Unity Catalog, Workflow orchestration (Jobs)Strong programming skills in PySpark/Spark (Python or Scala preferred) for large-scale data engineeringProven experience optimizing Spark jobs partitioning, caching, AQE, joins, skew handlingStrong Data Structures & Algorithms (DSA) fundamentals

Good to Have:Integration experience with Azure Data Factory, Event Hubs/streaming pipelines, AirflowWorking knowledge of Azure cloud platforms Blob Storage, NoSQL DBsExperience with relational databases (MS SQL, PostgreSQL, MySQL)Exposure to data governance & security — Unity Catalog, RBAC, data lineage

What You Bring:BS/MS/BE/B Tech Computer Science or related field (or equivalent experience)

Why Join Us?Work on tech that directly transforms healthcare, with a team that values innovation, collaboration, and growth.

Interested? Share your profile at snerangasamy@logixhealth for immediate processing!.