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Healthcare Data Analytics Engineer Jobs (NOW HIRING)

Duke University

Analytics Engineer

Durham, NC · On-site

Analytics Engineer, Data Analytics Practice Be You. The Data Analytics Practice within Duke ... healthcare, and innovation. Within OIT, the Data Analytics Practice plays a critical role in ...

Enboarder

Senior Data Analytics Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

... the healthcare experience. Founded in 2010 by a practicing physician and a successful tech ... Senior Analytics Engineer to join our high-performing Data Analytics team in a fast-paced ...

US Bank

Infrastructure Data Analytics Engineer

Hopkins, MN · On-site

$116K - $139K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

U.S. Bank

Infrastructure Data Analytics Engineer

Hopkins, MN · On-site

$116K - $139K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

US Bank

Infrastructure Data Analytics Engineer

Charlotte, NC · On-site

$111K - $134K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$117K - $140K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Health & fitness benefits, discounts and resources- We offer teammates across the country programs ...

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR · On-site

$121K - $145K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

US Bank

Infrastructure Data Analytics Engineer

Irving, TX · On-site

$109K - $132K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Our benefits include the following: * Healthcare (medical, dental, vision) * Basic term and ...

Under Armour, Inc.

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Health & fitness benefits, discounts and resources- We offer teammates across the country programs ...

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Healthcare Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 11, 2026, the average yearly pay for healthcare data analytics 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 does a healthcare data analytics engineer do?

A Healthcare Data Analytics Engineer is responsible for designing, developing, and maintaining data systems that help healthcare organizations collect, process, and analyze health-related data. They work with large datasets from electronic health records, insurance claims, and medical devices to extract insights that can improve patient outcomes, reduce costs, and support clinical decision-making. Their work often involves programming, data modeling, and collaborating with healthcare professionals to translate data into actionable solutions.

What are the key skills and qualifications needed to thrive as a healthcare data analytics engineer, and why are they important?

A Healthcare Data Analytics Engineer should possess strong analytical skills, knowledge of healthcare data standards (like HL7 or FHIR), and a background in computer science, statistics, or a related field. Proficiency with data analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as familiarity with healthcare databases and privacy regulations (e.g., HIPAA), is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable insights for clinical and business stakeholders. These competencies are essential to ensure data-driven decision-making, regulatory compliance, and improved patient outcomes within healthcare organizations.

What are some common challenges faced by healthcare data analytics engineers when working with sensitive patient data?

Healthcare Data Analytics Engineers frequently navigate challenges related to strict data privacy regulations, such as HIPAA compliance. Ensuring secure data storage, transmission, and access control is critical, and often requires collaborating closely with IT security teams. Additionally, managing large volumes of heterogeneous data from various electronic health record systems can make data cleaning and integration complex. Overcoming these challenges requires a strong understanding of both healthcare standards and advanced data engineering practices.

What is the difference between Healthcare Data Analytics Engineer vs Data Scientist in Healthcare?

AspectHealthcare Data Analytics EngineerData Scientist in Healthcare
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; knowledge of healthcare data standardsBachelor's or Master's in Data Science, Statistics, or related; often with healthcare domain knowledge
Work EnvironmentHealthcare organizations, hospitals, health tech companies; focus on data pipeline developmentResearch institutions, healthcare companies; focus on data analysis and modeling
Employer & Industry UsageUsed in health IT, electronic health records, and health data infrastructureApplied in clinical research, predictive modeling, and health outcomes analysis

While both roles require strong data skills and healthcare knowledge, Healthcare Data Analytics Engineers primarily focus on building and maintaining data pipelines and infrastructure, whereas Data Scientists in Healthcare analyze data to generate insights and models. The roles often overlap but differ in their core responsibilities and focus areas.

Is healthcare data analytics a good career?

Healthcare Data Analytics Engineers analyze medical data to improve patient outcomes and operational efficiency. The field offers strong job growth, competitive salaries, and opportunities to work with tools like SQL, Python, and healthcare databases. It requires technical skills, knowledge of healthcare systems, and often relevant certifications.

What cities are hiring for Healthcare Data Analytics Engineer jobs?

Cities with the most Healthcare Data Analytics Engineer job openings:

What states have the most Healthcare Data Analytics Engineer jobs?

States with the most job openings for Healthcare Data Analytics Engineer jobs include:

What are popular job titles related to Healthcare Data Analytics Engineer jobs?

For Healthcare Data Analytics Engineer jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Data Analytics Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Healthcare Data and Analytics Specialist - Remote - USA

Bismarck, ND • On-site, Remote

FullStack Labs
IT Services • 11 - 50 employees
Learn more about FullStack Labsexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

About FullStack
FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .
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About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

Social media

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