Data Engineering Manager

This is a remote position.

Superlanet is seeking a Data Engineering Manager for our healthcare client in Texas. This is a remote, direct hire opportunity with periodic travel; Texas-based candidates are highly preferred.

Reporting to the Director of Data Systems and Analytics, this individual will serve as a technical lead and subject matter expert, guiding small teams or project pods while remaining deeply involved in solution design, development, and delivery of production-grade data pipelines and models supporting clinical, operational, and financial analytics.

Qualifications

Required

• Bachelor’s degree in Computer Science, Data Engineering, or a related field
  
• 5–10 years of hands-on data engineering or data platform development experience
  
• 1–2 years of technical leadership or team lead experience, with a track record of delivering complex data initiatives and mentoring engineers
  
• Strong expertise in Azure and/or Microsoft Fabric (OneLake, Synapse, Databricks)
  
• Experience building Spark-based ETL/ELT pipelines (PySpark or Scala)
  
• Proficiency with open table formats (Delta Lake, Apache Iceberg) and medallion architecture
  
• Strong knowledge of Azure DevOps, ADLS Gen2, and cloud-native data architecture
  
• Experience implementing CI/CD, observability, and performance optimization for data pipelines
  
• Advanced SQL and data modeling experience (dimensional/star schema)
  
• Experience working with healthcare data (EHR, HL7/FHIR, claims)
  

Preferred

• Familiarity with data governance tools such as Microsoft Purview or Unity Catalog
  
• Experience with Kafka or Event Hubs for real-time data ingestion
  
• Exposure to Power BI or similar analytics/reporting tools
  
• Relevant certifications (Azure Data Engineer Associate, Fabric Analytics Engineer, or equivalent)