Key Facts

Remote From:

Anywhere

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Team Leadership
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Collaboration
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Communication
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Mentorship
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Problem Solving

Roles & Responsibilities

Bachelor's degree in Computer Science, Data Engineering, or related field.
5–10 years of hands-on data engineering or data platform development experience.
1–2 years in a technical leadership or team lead role with a proven track record of delivering complex data projects and mentoring junior engineers.
Proven expertise in Azure and/or Microsoft Fabric ecosystems (OneLake, Synapse, or Databricks) with experience delivering Spark-based ETL/ELT pipelines (PySpark or Scala) and proficiency in Delta Lake or Apache Iceberg.

Requirements:

Design, build, and optimize modern data platforms that enable scalable, secure, and high-value analytics across the healthcare enterprise.
Lead hands-on engineering and architecture efforts within Microsoft Fabric and Azure ecosystems— including OneLake, Delta Lake, and Synapse—to deliver robust, production-grade data pipelines and models.
Deliver analytics capabilities across clinical, operational, and financial domains to support decision-making.
Act as a technical lead guiding small pods or projects while remaining deeply engaged in hands-on data engineering, solution design, and implementation.

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.

Qualifications

Required:

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).
Experience in healthcare or life sciences data (EHR, HL7/FHIR, claims).

Preferred:

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.