Superlanet

Advisory, Staffing, and Multi-State Employer of Record Solutions for Clinicians, by Clinicians.

Data Engineer Manager

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2017H1B No SponsorCompany SiteLinkedIn

Location

Texas

Posted

145 days ago

Salary

$135K - $190K / year

Bachelor Degree5 yrs expEnglishApacheAzureCloudETLKafkaPy SparkScalaSparkSQLUnity

Job Description

• This is a remote position. • Superlanet is seeking a Data Engineer Manager for our healthcare client in Texas. • This is a direct hire, primarily remote position, however, a Texas-based resource is highly preferred and periodic travel will be required. • The Data Engineering Manager plays a key role in designing, building, and optimizing modern data platforms that enable scalable, secure, and high-value analytics across the healthcare enterprise. • This role focuses on hands-on engineering and architecture within Microsoft Fabric and Azure ecosystems — including OneLake, Delta Lake, and Synapse — to deliver robust, production-grade data pipelines and models supporting clinical, operational, and financial analytics. • Reporting to the Director of Data Systems and Analytics, this individual acts as a technical lead and subject matter expert, guiding small pods or projects while remaining deeply engaged in hands-on data engineering, solution design, and implementation.

Job Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, or related field.
  • 5–10 years of experience in hands-on data engineering or data platform development.
  • 1-2 years of experience in a technical leadership or team lead role, with a proven record of delivering complex data projects and mentoring junior engineers.
  • Proven expertise in Azure and/or Microsoft Fabric ecosystems — including OneLake, Synapse, or Databricks.
  • Experience delivering Spark-based ETL/ELT pipelines using PySpark or Scala.
  • Proficiency in open-table formats (Delta Lake, Apache Iceberg) and medallion architecture concepts.
  • Strong understanding of Azure DevOps, ADLS Gen2, and cloud-native design patterns.
  • Experience implementing CI/CD, observability, and cost/performance optimization for data pipelines.
  • Strong SQL and data-modeling experience (dimensional/star schema).
  • Preferred: Experience in healthcare or life sciences data (EHR, HL7/FHIR, claims).
  • Familiarity with Microsoft Purview, Unity Catalog, or comparable data governance frameworks.
  • Knowledge of Kafka / Event Hubs for real-time ingestion.
  • Exposure to Power BI or other downstream analytics tools.
  • Certifications: Microsoft Certified: Azure Data Engineer Associate, Fabric Analytics Engineer, or equivalent.

Benefits

  • Salary based on experience.

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