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Temporary Healthcare Data Engineer Jobs (NOW HIRING)

EPIC Brokers

Healthcare Data Scientist

Use programming languages such as SQL or Python to extract, manipulate, and analyze large and ... Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or ...

C the Signs

AI Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

C the Signs

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

C the Signs

AI Data Engineer

Boston, MA ยท Remote

$117K - $140K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

Urology Centers of Alabama, P.C.

Data Engineer

Homewood, AL ยท On-site

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This ...

MPOWERHealth

Data Engineer

Addison, TX ยท On-site

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data ... Experience in healthcare data domains is highly desired. Strong expertise in healthcare data ...

Techvilla Solutions

MN ยท On-site

Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders ... Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience ...

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Temporary Healthcare Data Engineer information

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$46K

$165K

$243.5K

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

As of Sep 11, 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.
More about Temporary Healthcare Data Engineer jobs

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:

Temporary Healthcare Data Engineer jobs near you
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, 84% Full Time, 11% 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.

Data Engineer (Health Data Metrics)

Durham, NC โ€ข On-site

Socket.dev
Network Securityย โ€ขย 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 5 days ago

Job description

About the role

We are seeking a skilled and motivated mid level to senior level Data Engineer to join our team and play a critical role in building and optimizing the data infrastructure that powers our healthcare AI solutions. The ideal candidate will bring expertise in modern data engineering tools and techniques, with a specific focus on healthcare quality metrics, population health, and data interoperability standards such as FHIR. Level and salary will commensurate with experience.

Key Responsibilities Data Engineering and Development
  • Design, build, and maintain scalable, e๏ฌƒcient data pipelines for ETL/EL T processes on AWS.
  • Develop, test, and deploy robust solutions using SQL and Python for data transformation and analysis.
  • Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services.
  • Leverage dbt (Data Build Tool) for data modeling, transformation, and documentation.
  • Utilize workflow orchestration tools such as Temporal for pipeline automation.
Healthcare Data Expertise
  • Work with healthcare quality metrics such for value-based care and ensure data alignment with industry standards.
  • Collaborate with stakeholders to integrate population health tools and analytics into data workflows.
  • Develop and maintain familiarity with FHIR data models and healthcare interoperability standards for seamless integration of healthcare data sources.
  • Ensure compliance with HIPAA and other healthcare regulatory requirements in all data handling processes.
Optimization and Innovation
  • Identify and resolve performance bottlenecks in data pipelines, ensuring high availability and reliability.
  • Optimize data storage and querying performance within Redshift Serverless and AWS infrastructure.
  • Stay current with emerging trends in data engineering and healthcare technology, incorporating innovations into the data ecosystem.
Collaboration and Impact
  • Partner with data and engineering teams to ensure data is accessible and meets business requirements.
  • Develop scalable solutions for integrating complex healthcare datasets, ensuring data quality and accuracy.
  • Contribute to the design and implementation of secure, scalable, and e๏ฌƒcient data architecture on AWS.
Required Qualifications
  • Must be US based. No foreign applicants will be considered.
  • Proven experience in data engineering roles with expertise in SQL, Python, and AWS cloud-based data infrastructure.
  • Experience with tools like dbt and Spark/PySpark for data transformation and modeling.
  • Familiarity with healthcare data systems, including HEDIS metrics, population health tools, and FHIR data models.
  • Knowledge of data warehousing and workflow orchestration tools.
Preferred Skills
  • Strong understanding of healthcare data standards, including FHIR, HL7 and CQL.
  • Hands-on experience with data modeling, normalization, and schema design for complex datasets.
  • Experience designing and building scalable, production-grade data pipelines using orchestration tools such as Airflow, Dagster, or Temporal.
  • Hands-on experience with AWS data and compute services, including Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies.
  • Strong experience with data transformation and distributed processing, using tools such as dbt, Spark/PySpark, and Pandas.
  • Experience designing and operating HIPAA-compliant data architectures and handling sensitive healthcare data.
  • Demonstrated ability to optimize data pipelines for performance, scalability, and reliability in cloud environments.
  • Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets.
  • Experience with Infrastructure as Code (IaC) tools such as Terraform.
What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work in a fast-paced, innovative environment.
  • Professional growth and development opportunities.
  • Collaborative and supportive team culture.
  • Chance to make a meaningful impact on the healthcare industry.
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