Data Engineering Manager

This is a remote position.<\/p>

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.
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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.
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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.
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Qualifications<\/b>
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Required:<\/b>
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• Bachelor’s degree in Computer Science, Data Engineering, or related field.
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• 5–10 years of experience in hands\-on data engineering or data platform development.
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• 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.
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• Proven expertise in Azure and\/or Microsoft Fabric ecosystems — including OneLake, Synapse, or Databricks.
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• Experience delivering Spark\-based ETL\/ELT pipelines using PySpark or Scala.
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• Proficiency in open\-table formats (Delta Lake, Apache Iceberg) and medallion architecture concepts.
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• Strong understanding of Azure DevOps, ADLS Gen2, and cloud\-native design patterns.
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• Experience implementing CI\/CD, observability, and cost\/performance optimization for data pipelines.
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• Strong SQL and data\-modeling experience (dimensional\/star schema).
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• Experience in healthcare or life sciences data (EHR, HL7\/FHIR, claims).
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  Preferred:<\/b>
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  • Familiarity with Microsoft Purview, Unity Catalog, or comparable data governance frameworks.
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  • Knowledge of Kafka \/ Event Hubs for real\-time ingestion.
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  • Exposure to Power BI or other downstream analytics tools.
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  • Certifications: Microsoft Certified: Azure Data Engineer Associate, Fabric Analytics Engineer, or equivalent.
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    Benefits<\/h3>

    Compensation is based on the candidate’s qualifications and aligned with the client’s established pay scale for this role:
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    $160,000 \- $195,000
    <\/div><\/span>
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