Senior Data Engineer – Healthcare Technology

🏢 Elevated Hires
📍 United States
💰 USD 155,000 - 195,000 / annual
📅 Posted Sep 12, 2026 · via Himalayas
🏷 Senior Data Engineer Medical Technology, Healthcare Data Engineer, Remote Senior Data Engineer Healthcare, Healthcare Data Engineering Specialist, Senior Data Engineering, Senior Lead Data Engineering +1 more
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Senior Data Engineer – Healthcare Technology

Elevated Hires is recruiting a Senior Data Engineer to build and scale a modern healthcare data platform supporting analytics, care coordination, and value-based care. This position is ideal for an experienced engineer who can independently make high-impact architectural decisions and develop secure, reliable data systems.

Candidates located in Pittsburgh are preferred; qualified U.S.-based remote candidates will also be considered.

Key Responsibilities

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Architect scalable, secure, and highly reliable data systems.

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Build and maintain production-grade pipelines that ingest, process, and enrich large volumes of healthcare data.

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Establish data-quality, governance, monitoring, and validation standards.

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Optimize system performance through query tuning, indexing, partitioning, and related strategies.

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Design and deploy cloud infrastructure using infrastructure-as-code practices.

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Protect sensitive healthcare information and maintain HIPAA and HITRUST compliance.

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Collaborate with engineering, product, analytics, and clinical operations teams.

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Contribute to system architecture, CI/CD, test automation, and DevOps standards.

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Simplify complex technical problems and make independent architectural decisions.

Required Qualifications

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At least five years of dedicated data engineering experience.

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Hands-on experience with Innovaccer’s Data Activation Platform, including ingestion frameworks, connectors, data models, and interoperability workflows.

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Expert SQL skills and advanced proficiency in Python or Scala.

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Experience with Snowflake, BigQuery, or Redshift.

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Knowledge of data-lake technologies such as Amazon S3 and Delta Lake.

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Experience with Apache Spark or Dask.

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Strong knowledge of AWS services, including S3, Lambda, and RDS.

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Experience with Apache Airflow or AWS Step Functions.

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Understanding of healthcare data, HIPAA, HITRUST, and FHIR.

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Strong background in system architecture, scalability, CI/CD, automated testing, and DevOps.

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Ability to work independently in a fast-paced environment.

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Bachelor’s degree in computer science, software engineering, or a related field, or equivalent professional experience.

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Legal authorization to work in the United States without current or future employer sponsorship.

Originally posted on Himalayas

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