Senior Data Engineer

Hiring: 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 & analytics
Design 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 & reusability
Collaborate with cross-functional teams to integrate data platforms with Tableau, Power BI, APIs, and custom apps
Drive CI/CD & automation using Git, Terraform, Azure DevOps/GitHub Actions/Jenkins, and monitoring tools like Azure Monitor/Datadog
Mentor peers and help shape a strong engineering culture

Must-Have Skills:
5+ years of hands-on experience in Apache Spark & Databricks, building scalable pipelines and distributed data systems in cloud environments
Deep 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 engineering
Proven experience optimizing Spark jobs — partitioning, caching, AQE, joins, skew handling
Strong Data Structures & Algorithms (DSA) fundamentals

Good to Have:
Integration experience with Azure Data Factory, Event Hubs/streaming pipelines, Airflow
Working knowledge of Azure cloud platforms — Blob Storage, NoSQL DBs
Experience 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!.