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Remote Healthcare Data Engineer Jobs in Boston, MA

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 ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท Remote

$117K - $140K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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 ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Data Engineer (Remote)

Canton, MA ยท On-site +1

$121K - $145K/yr

At The Phia Group, whose mission is to provide high quality yet affordable healthcare to American ... The Data Engineer is responsible for supporting the development, maintenance, and optimization of ...

Senior Data Engineer

Boston, MA ยท Remote

$115K - $151K/yr

Interra Health is a fast-growing healthcare technology company transforming how providers and ... Fully remote role within the United States * Periodic travel (approximately 5%) for team meetings ...

Data Visualization & Storytelling - Ability to translate complex healthcare data into actionable ... Strong data modeling skills to support analytics and BI developers * Experience creating custom ...

Data Engineer

Burlington, MA ยท Remote

$145K - $180K/yr

This is NOT a fully remote position! * 4-6 years of experience as a Data Engineer, Backend Engineer, Database Engineer, or similar role. * Strong programming experience in Python, C++, Golang, or ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ... healthcare data analysis, data quality, data operations, or data engineering; 8+ years preferred ...

Senior Machine Learning Engineer

Boston, MA ยท Remote

$125K - $165K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ... healthcare data analysis, data quality, data operations, or data engineering; 8+ years preferred ...

Data Engineer with AI - Remote

Boston, MA ยท On-site +1

$124K - $149K/yr

Our client seeks an Data Engineer + AI for a 12 Months project in Boston, MA. Below is the detailed requirement Job Title: Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job ...

We are passionate about getting physicians and healthcare providers away from the keyboard and back ... Boston, MA/Remote - Hybrid Job Type: Full-time, exempt , regular Compensation: 175,000-200,000 What ...

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Showing results 1-20

Remote Healthcare Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Aug 10, 2026, the average yearly pay for remote healthcare data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

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

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.
What are the most commonly searched types of Healthcare Data Engineer jobs in Boston, MA? The most popular types of Healthcare Data Engineer jobs in Boston, MA are:
What job categories do people searching Remote Healthcare Data Engineer jobs in Boston, MA look for? The top searched job categories for Remote Healthcare Data Engineer jobs in Boston, MA are:
Infographic showing various Remote Healthcare Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

AI Data Engineer

C the Signs

Boston, MA โ€ข On-site, Remote

$124K - $149K/yr

Full-time

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?

Joiningย C the Signsย 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.