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Why this grade This listing scored 45/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
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- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
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This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
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
Architect scalable, secure, and highly reliable data systems.
Build and maintain production-grade pipelines that ingest, process, and enrich large volumes of healthcare data.
Establish data-quality, governance, monitoring, and validation standards.
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.
Required Qualifications
At least five years of dedicated data engineering experience.
Hands-on experience with Innovaccer’s Data Activation Platform, including ingestion frameworks, connectors, data models, and interoperability workflows.
Expert SQL skills and advanced proficiency in Python or Scala.
Experience with Snowflake, BigQuery, or Redshift.
Knowledge of data-lake technologies such as Amazon S3 and Delta Lake.
Experience with Apache Spark or Dask.
Strong knowledge of AWS services, including S3, Lambda, and RDS.
Experience with Apache Airflow or AWS Step Functions.
Understanding of healthcare data, 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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 12 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.