Data Engineer Manager

Job not on LinkedIn

October 21

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $135k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Superlanet

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Healthcare Insurance • Recruitment • Human Resources

Superlanet is a healthcare-focused advisory and staffing firm specializing in providing Employer of Record services and multi-state workforce solutions. The company is committed to delivering expert recruiting and staffing solutions tailored to the healthcare sector, ensuring its clients have access to qualified professionals in a timely manner. Superlanet emphasizes its unique values and commitment to quality service, making it a trusted partner in the healthcare workforce management.

51 - 200 employees

Founded 2017

⚕️ Healthcare Insurance

🎯 Recruiter

📋 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.

🎯 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.