Data Engineer

About Definitive Healthcare:

At Definitive Healthcare (NASDAQ: DH) were passionate about turning data analytics and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets opportunities and peoplepaving the way for smarter decisions and greater impact.

Headquartered just outside of Boston Massachusetts Definitive Healthcare operates across North America Europe and India supporting a growing global client base of more than 2400 customers since our founding in 2011.

Were also a great place to work. In 2024 and 2025 we earned multiple workplace honors including Built Ins 100 Best Places to Work in Boston (both years) a Stevie Bronze Award for Great Employers and recognition as a Great Place to Work in India.

We foster a collaborative inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection education and inclusion.

About the Role

Definitive Healthcare is seeking a Data Engineer to build maintain and support reliable data pipelines and transformations that power critical healthcare data products and customer-facing solutions.

This role is accountable for the quality reliability and timely delivery of assigned pipeline components and data changes. Working with engineering and domain experts the Data Engineer develops moderate-complexity solutions troubleshoots pipeline and data quality issues and supports production operations across Claims and Consumer data domains.

Success in this role requires hands-on experience with Python SQL Spark/PySpark cloud data platforms workflow orchestration and modern engineering practices. The Data Engineer works with growing independence follows established standards communicates progress and blockers and collaborates with engineers analysts Product Support and data consumers.

WhatYoullDo

Pipeline Engineering & Component Ownership

• Build maintain test and support moderate-complexity ETL/ELT pipelines transformations and data components using Python SQL Spark/PySpark and related technologies.
• Own defined pipeline components from implementation through testing deployment documentation and production support with technical guidance as needed.
• Troubleshoot pipeline failures data quality issues and performance problems; identify root causes with support and implement practical maintainable fixes.

Design Quality & Operational Reliability

• Contribute to component-level technical designs estimates and implementation plans while following established architecture and engineering standards.
• Apply team practices for data modeling testing code review observability security source control CI/CD and operational support.
• Monitor pipeline performance and reliability surface risks and blockers early and identify opportunities to improve quality efficiency and maintainability.

Domain & Stakeholder Partnership

• Develop working knowledge of Claims and Consumer data structures source-to-target transformations pipeline dependencies and expected data quality standards.
• Collaborate with engineers QA analysts Product Support and data consumers to clarify requirements resolve issues and deliver reliable data changes.
• Assess downstream impacts of data and schema changes communicate technical status clearly and support vendor-delivered data sources and customer issues.

Collaboration Growth & Engineering Practices

• Participate actively in code reviews pairing sprint activities technical discussions documentation and team knowledge sharing.
• Support peers and less-experienced engineers by sharing knowledge providing constructive review feedback and modeling effective engineering practices.
• Use approved AI-assisted development tools responsibly to improve productivity documentation test coverage and code quality while following team review standards.

What Youll Bring

• Bachelors degree in Computer Science Engineering Information Systems or equivalent practical experience.
• 2 years of Data Engineering Software Engineering or related experience building and supporting production data solutions.
• Proficiency in Python and SQL with hands-on experience developing and maintaining production data pipelines.
• Experience with Apache Spark/PySpark or equivalent distributed data processing technologies.
• Experience with cloud platforms such as AWS Azure or GCP and modern data platforms such as Databricks Snowflake Delta Lake or equivalent technologies.
• Experience with workflow orchestration technologies such as Airflow Argo or equivalent platforms.
• Working knowledge of relational databases data modeling testing code review observability source control CI/CD and production support practices.
• Ability to own defined technical work troubleshoot issues collaborate effectively and communicate progress risks and blockers.

Preferred Qualifications

• Healthcare data experience including claims pharmacy eligibility consumer provider or reference data.
• Experience processing large datasets using lakehouse or medallion architecture patterns.
• Experience deploying operating or supporting Spark workloads in Kubernetes or similar containerized environments.
• Experience supporting enterprise data products analytics platforms or business-critical data services in regulated environments.
• Experience onboarding or supporting vendor-delivered datasets and evaluating schema or downstream consumer impacts.
• Experience using AI-assisted engineering tools to improve development productivity testing documentation and code quality.

Compensation and Benefits

The salary range for this position is $93000 $141000 per year which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience skills and qualifications.

Depending on the position employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package including medical dental and vision coverage unlimited paid time off and participation in the companys 401(k) plan with employer contribution.

Why we love Definitive and why you will too!

• Industry leading products
• Work hard and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• Definitive Cares our community service group gives all of us a chance to give back
• Competitive benefits package including great healthcare benefits and a 401(k) match

What our Employees are saying about us on Glassdoor:

Great Work atmosphere great work life balance excellent company to work for amazing top notch product incredible customer service lots of tools to help you succeed.

-Business Development Manager

Great team. Amazing growth. Employees are treated very well.

-Research Analyst

I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.

-Profile Analyst

If you dont fit all of these qualifications but believe youre still a great fit feel free to apply and tell us why in your cover letter.

If you are a California Colorado New York City or Washington resident and this role is a remote role you can receive additional information about the compensation and benefits for this role which we will provide upon request.

Definitive Hiring Philosophy

Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race color religion age gender gender identity sexual orientation or any other status. If youre interested in working in a fast growing exciting working environment we encourage you to apply!

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Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators using an @ email address. We do not advertise open roles on Facebook and will never request money transfers or ask candidates to purchase equipment with a promise of reimbursement. If you receive any suspicious communication please contact to verify your status in the application process.