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Healthcare Data Engineer Jobs (NOW HIRING)

C the Signs

AI Data Engineer

Boston, MA · 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

New York, NY · On-site +1

$125K - $150K/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

Data Engineer

Birmingham, AL · 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 ...

Knit Health

Data Engineer II

San Francisco, CA

$110K - $135K/yr

Navigate the complex and often ambiguous landscape of healthcare data, bringing clarity ... Engineering fundamentals: comfort with version control (Git), code review, testing, and the habits ...

SG2 Recruiting

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

A Data Engineer I is a junior developer role responsible for supporting the design, development ... Working with large and complex healthcare data sets to identify business needs and provide data ...

SG2 Recruiting

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

A Data Engineer I is a junior developer role responsible for supporting the design, development ... Working with large and complex healthcare data sets to identify business needs and provide data ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/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 ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

X12 837/835 healthcare claims data * EHR/EMR source systems * Batch, real-time, and event-driven data sources Azure Cloud Engineering * Develop and operate data pipelines leveraging: * Azure Data ...

MD Anderson

Senior Data Engineer - Healthcare AI

Houston, TX · On-site

$101K - $137K/yr

... Senior Data Engineer - Healthcare AI position is a highly skilled data engineering professional with deep expertise in building scalable, secure, and high-performance data pipelines for AI/ML ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

Navigate the complex and often ambiguous landscape of healthcare data, bringing clarity ... Engineering fundamentals: comfort with version control (Git), code review, testing, and the habits ...

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Healthcare Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do healthcare data engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for healthcare data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Healthcare Data Engineer job?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are the key skills and qualifications needed to thrive in the Healthcare Data Engineer position, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

What are some typical projects or challenges a Healthcare Data Engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

More about Healthcare Data Engineer jobs
What cities are hiring for Healthcare Data Engineer jobs? Cities with the most Healthcare Data Engineer job openings:
What are the most commonly searched types of Healthcare Data Engineer jobs? The most popular types of Healthcare Data Engineer jobs are:
What states have the most Healthcare Data Engineer jobs? States with the most job openings for Healthcare Data Engineer jobs include:
What job categories do people searching Healthcare Data Engineer jobs look for? The top searched job categories for Healthcare Data Engineer jobs are:
Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI Data Engineer

C the Signs

Boston, MA • On-site, Remote

$124K - $149K/yr

Other

Re-posted 14 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse 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 challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply