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Temporary Healthcare Data Engineer Jobs (NOW HIRING)

Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes ... ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow ...

Data Engineer 1

Providence, RI ยท On-site

$115K - $138K/yr

Freedman HealthCare is an entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication, and meeting exacting standards. Job Summary: The Data Engineer I ...

dbt / Data Engineer

Des Plaines, IL ยท On-site

$111K - $134K/yr

Open, but no OPT/CPT Industry: Healthcare Company We are seeking an experienced dbt Engineer / Data Engineer to support the transitioning, development and modernization of a healthcare data and ...

Data Engineer 1

Providence, RI ยท On-site

$80K - $96K/yr

Freedman HealthCare is an entrepreneurial, fast-paced, and growing consultancy with a culture of teamwork, open communication, and meeting exacting standards. Job Summary: The Data Engineer I ...

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

Our company provides application analysis, design, development and programming, software ... healthcare data from one or more of major healthcare IT systems including but not limited to the ...

Data Engineer

Columbia, MD ยท On-site

$111K - $133K/yr

Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team. We empower over 1,800 hospitals and 15,000 providers with our ...

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

Data Engineer I

Plantation, FL ยท On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

Data Engineer I

Plantation, FL ยท On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

The ideal candidate is analytical, detail-oriented, comfortable working with data, and interested in developing their career in healthcare analytics and business intelligence. Duties and ...

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Data Engineer

$64K - $173K/yr

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Position Summary The Data Engineer will be responsible for delivering high quality modern data ...

Showing results 41-60

Temporary Healthcare Data Engineer information

See salary details

$46K

$165K

$243.5K

How much do temporary healthcare data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for temporary healthcare data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Healthcare Data Engineer vs Healthcare Data Analyst?

AspectTemporary Healthcare Data EngineerHealthcare Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Health Informatics, Data Analysis certifications
Work EnvironmentHealthcare IT teams, data warehouses, cloud platformsClinical settings, reporting teams, healthcare organizations
Employer & Industry UsageHospitals, health systems, health tech companiesHospitals, clinics, insurance companies
Common Search & ComparisonYesYes

The main difference is that a Temporary Healthcare Data Engineer focuses on building and maintaining data infrastructure, pipelines, and systems, while a Healthcare Data Analyst interprets healthcare data to generate reports and insights. Both roles require healthcare industry knowledge, but the Data Engineer emphasizes technical data management, whereas the Data Analyst emphasizes data interpretation and visualization.

How to become a temporary healthcare data engineer?

To become a temporary healthcare data engineer, candidates typically need a bachelor's degree in computer science, data science, or a related field, along with experience in data management, programming languages like Python or SQL, and familiarity with healthcare data standards such as HL7 or FHIR. Certifications in data engineering or healthcare informatics can enhance prospects, and strong analytical skills are essential for managing large healthcare datasets in a fast-paced environment.
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What are the most commonly searched types of Healthcare Data Engineer jobs?

The most popular types of Healthcare Data Engineer jobs are:

What are popular job titles related to Temporary Healthcare Data Engineer jobs?

For Temporary Healthcare Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Temporary Healthcare Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Healthcare Data Modeler

Excelsior, MN โ€ข On-site

Techvilla Solutions
IT Servicesย โ€ขย 51 - 200 employees

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.