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Healthcare Data Engineer Jobs in Boston, MA (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

Boston, MA · 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 · 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 ...

Saviance

Data Engineer - Healthcare

Boston, MA · On-site

$124K - $149K/yr

They are seeking a Data Engineer to design and develop data pipelines and complex reporting systems ... data terminology. • Healthcare Experience and a Clear understanding and working knowledge of ...

RA Capital Management, LLC

Data Engineer

Boston, MA

$124K - $149K/yr

Our work sits at the intersection of healthcare data, large-scale data engineering, and applied AI, with a strong emphasis on reliability, compliance, and production readiness. About the Role We are ...

Daymark Health

Data Engineer

Boston, MA

$140K - $160K/yr

Daymark Health is a value-based oncology company redefining the cancer care experience for patients ... Experience: You bring 4+ years of experience in data engineering, with a strong technical ...

RA Capital Management, LLC

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Our work sits at the intersection of healthcare data, large-scale data engineering, and applied AI, with a strong emphasis on reliability, compliance, and production readiness. About the Role We are ...

Medeloop

Healthcare Data Scientist (RWD)

Boston, MA

We are seeking a Healthcare Data Scientist (Real-World Evidence) to answer complex healthcare and biopharma questions using large-scale real-world data and help shape the next generation of AI ...

Iterative Health

Staff Data Engineer

Cambridge, MA

$200K - $325K/yr

Iterative Health is a healthcare technology and services company powering the acceleration of ... You'll own data quality and observability as foundational engineering problems. You'll also have a ...

Iterative Health

Staff Data Engineer

Cambridge, MA · On-site

$200K - $325K/yr

Iterative Health is a healthcare technology and services company powering the acceleration of ... You'll own data quality and observability as foundational engineering problems. You'll also have a ...

Pwc

Payer Healthcare Data Scientist, Manager

Boston, MA · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

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All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Boston, MA

Healthcare Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do healthcare data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for healthcare data engineer in Boston, MA is $140,922.00, 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 a healthcare data engineer?

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 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.

What are the key skills and qualifications needed to thrive as a healthcare data engineer, 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.

How do you become a healthcare data engineer?

To become a healthcare data engineer, one typically needs 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. Gaining knowledge of healthcare regulations like HIPAA and obtaining relevant certifications can also enhance job prospects. Practical experience with data pipelines, cloud platforms, and database systems is essential for this role.

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 are popular job titles related to Healthcare Data Engineer jobs in Boston, MA?

For Healthcare Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Engineer jobs in Boston, MA look for?

The top searched job categories for Healthcare Data Engineer jobs in Boston, MA are:

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 72% In-person, 5% Hybrid, and 23% Remote job distribution, with an average salary of $140,922 per year, or $67.8 per hour.

AI Data Engineer

C the Signs

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 28 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