Senior Data Engineer - Databricks / Azure

Job Description

About Our Client

Johnson & Johnson is one of the world’s most respected and innovative healthcare companies, dedicated to improving the health and well-being of people everywhere. With a global presence across pharmaceuticals, medical devices, and consumer health, J&J is known for combining science, technology, and design to deliver impactful solutions.

About the Role

We’re looking for a Databricks Expert Engineer with strong experience in the Azure ecosystem to support a high-impact project. This is a contractor role through Workana, starting ASAP, with a 3–4 month initial contract and strong potential for extension.

What You’ll Do

• Design, build, and optimize Databricks pipelines in an Azure environment
• Develop reliable ETL/ELT workflows using PySpark / Spark SQL
• Implement and maintain data ingestion from multiple sources (APIs, DBs, cloud storage, etc.)
• Improve performance, scalability, and cost-efficiency of Databricks workloads
• Work with stakeholders to translate business needs into technical solutions
• Ensure best practices around data quality, monitoring, documentation, and maintainability
• Collaborate with cross-functional teams (data engineering, analytics, product, etc.)

Requirements

• Proven experience as a Databricks Engineer (expert-level)
• Strong hands-on work in Azure Databricks
• Advanced Spark / PySpark and SQL
• Experience with Azure Data Lake / Blob Storage and Azure-native data workflows
• Solid understanding of data engineering fundamentals (batch processing, orchestration, data modeling basics)
• Comfortable working independently in fast-moving, delivery-focused projects
• English communication skills (written + verbal) for working with global teams

Nice to Have

• Experience with Delta Lake and lakehouse patterns
• Familiarity with orchestration tools (e.g., ADF, Airflow, etc.)
• CI/CD exposure for data pipelines (Azure DevOps, Git-based workflows)
• Experience supporting analytics/reporting or downstream ML use cases

Benefits

• Fully remote contractor role (LATAM-friendly)
• Opportunity to work with a global healthcare leader
• High chance of extension after the initial contract