Description review
Senior Data Engineer – Healthcare Technology
Elevated Hires · United States · back to the listing
HR standards
52/100
needs work
Title ↔ description
93/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
- Senior Software Engineer - Data Platform Coinbase
- Senior Security Data Engineer Doordash
- Data Engineer, Product Analytics Meta
- Senior Staff Data Engineer Mozilla
- Staff, Analytics Engineer, GTM Data Science & Analytics Twilio
Startups
- Senior Data Engineer Camber
- Cardog | Toronto, Canada or REMOTE | Full-time Cardog
- Connie Health | Senior Analytics Engineer | Boston, MA | HYBRID | $150k-$185k + equity Connie Health
- DoubleVerify (DV Scibids) | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K DoubleVerify (DV Scibids)
- Forecasting Research Institute (FRI) | Data Engineer | REMOTE | Full-time Forecasting Research Institute (FRI)
What the listing never says
- 22 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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