Senior Data Engineer – Healthcare Technology

About This Opportunity

We are representing a confidential healthcare technology organization that is building a modern data platform to support analytics, care coordination, and value-based care initiatives. Our talent team is seeking a Senior Data Engineer who can architect scalable systems and make high-impact technical decisions independently.

This role is based in the United States, with a preference for candidates located in Pittsburgh. Qualified remote candidates across the U.S. will also be considered.

Responsibilities

• Architect scalable, secure, and highly reliable data systems that support healthcare operations
• Build and maintain production-grade pipelines that ingest, process, and enrich large volumes of healthcare data
• Establish data quality, governance, monitoring, and validation standards across the platform
• Optimize system performance through query tuning, indexing, partitioning, and related strategies
• Design and deploy cloud infrastructure using infrastructure-as-code practices
• Protect sensitive healthcare information and maintain HIPAA and HITRUST compliance
• Collaborate with engineering, product, analytics, and clinical operations teams
• Contribute to system architecture, CI/CD, test automation, and DevOps standards
• Simplify complex technical problems and make independent architectural decisions

What We're Looking For

• At least five years of dedicated data engineering experience
• Hands-on experience with healthcare data platforms, including ingestion frameworks, connectors, data models, and interoperability workflows
• Expert SQL skills and advanced proficiency in Python or Scala
• Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
• Knowledge of data-lake technologies such as Amazon S3 and Delta Lake
• Experience with distributed processing frameworks like Apache Spark or Dask
• Strong knowledge of AWS services, including S3, Lambda, and RDS
• Experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions
• Understanding of healthcare data standards, HIPAA, HITRUST, and FHIR
• Strong background in system architecture, scalability, CI/CD, automated testing, and DevOps
• Ability to work independently in a fast-paced environment
• Bachelor's degree in computer science, software engineering, or a related field, or equivalent professional experience
• Legal authorization to work in the United States without current or future employer sponsorship

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will screen qualified applicants and coordinate submissions to our client. We manage the entire process and serve as your advocate throughout. Please do not contact the client directly—all communication flows through our team to ensure a professional and organized experience.

Pay

Compensation details will be discussed during the screening process and are competitive with senior data engineering roles in healthcare technology.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work with clients who share our commitment to diversity and equal opportunity employment.