Remote | Azure Data Engineering | Strategic Tooling Decisions | ADF, Spark, Databricks | Big Data Architecture

About this role

This role requires solid technical experience with Azure Data Factory, Spark, Databricks and related tools, as well as the ability to think critically about why and when to use each one. Experience in healthcare data environments and fluency in English are highly valued.

Required Skills & Experience

• 5+ years of hands-on experience in ETL development and data engineering
• 3+ years working with Azure Data Factory, including Mapping Data Flows
• Strong understanding of Apache Spark, including in-memory processing and parallelism
• Proficiency in SQL and Python for data transformations
• Experience with Azure Databricks, Synapse or similar big data platforms
• Ability to justify tool selection based on data volume, problem type, and performance trade-offs
• Fluent English communication (verbal and written)

Bonus if you have:

• Experience in healthcare data environments (e.g., HIPAA, HL7, FHIR, claims data)
• Familiarity with data governance, quality, or lineage practices
• Exposure to cloud data architecture and data modeling

Do you thrive in building pipelines and explaining why they matter? If you're excited about turning data architecture into strategic impact, we'd love to hear from you.