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Healthcare Data Engineer Jobs in Chicago, IL (NOW HIRING)

Procom

Sr. Healthcare Data Engineer

Chicago, IL · On-site +1

$109K - $149K/yr

Senior Healthcare Data Engineering Consultant: On behalf of our healthcare client, Procom is searching for a Senior Healthcare Data Engineering Consultant for a 6 month plus remote contract role.

Option Care

Healthcare Data Analyst

Bannockburn, IL · On-site

$70K - $117K/yr

Understanding of health care terminology and knowledgeable/experienced with provider data, claims ... Advanced programming skills (e.g., Python and R), model development, regression analysis, and ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Open, but no OPT/CPT Industry: Healthcare Company We are seeking an experienced dbt Engineer / Data Engineer to support the transitioning, development and modernization of a healthcare data and ...

SYSTEGRATION INC

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Open, but no OPT/CPT Industry: Healthcare Company We are seeking an experienced dbt Engineer / Data Engineer to support the transitioning, development and modernization of a healthcare data and ...

Milliman

Healthcare Data Analyst (CMH Health)

Chicago, IL · On-site

$49K - $88K/yr

Milliman's CMH Health Practice is looking for Healthcare Data Analysts to join their vibrant, dynamic, and growing practice. Healthcare Data Analysts (referred to as Professional Staff) will have the ...

Lucet

Senior Healthcare Data Analyst

Chicago, IL · On-site

$103 - $115/hr

What You Will Do - Essential Functions The Sr Analyst, Healthcare Data will be a business consultant to the rest of the organization in providing reports and analysis to support Lucet's clinical and ...

Lucet

Senior Healthcare Data Analyst

Chicago, IL · On-site

$103K - $115K/yr

What You Will Do - Essential Functions The Sr Analyst, Healthcare Data will be a business consultant to the rest of the organization in providing reports and analysis to support Lucet's clinical and ...

New directions

Senior Healthcare Data Analyst

Chicago, IL · On-site

$103K - $115K/yr

What You Will Do - Essential Functions The Sr Analyst, Healthcare Data will be a business consultant to the rest of the organization in providing reports and analysis to support Lucet's clinical and ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that ... with healthcare industry standards. This role is expected to provide strong hands-on technical ...

Prolaio

Data Engineer

Chicago, IL

$134K/yr

You'll work closely with data scientists, product teams, and other engineers to ensure that our ... Previous experience in the healthcare or pharmaceutical industry. * PII/PHI Knowledge:

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Prolaio

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Required : • Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field. • Minimum 10 years of experience in healthcare, ...

Guidehouse

Data Engineer

Chicago, IL

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and ... Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and ...

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All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Chicago, IL

Healthcare Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do healthcare data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for healthcare data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 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 Chicago, IL?

The most popular types of Healthcare Data Engineer jobs in Chicago, IL are:

What are popular job titles related to Healthcare Data Engineer jobs in Chicago, IL?

For Healthcare Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Engineer jobs in Chicago, IL look for?

The top searched job categories for Healthcare Data Engineer jobs in Chicago, IL are:

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Sr. Healthcare Data Engineer

Chicago, IL • On-site, Remote

Procom
See more jobs at Procomexternal

$109K - $149K/yr

Contractor

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

Senior Healthcare Data Engineering Consultant:
On behalf of our healthcare client, Procom is searching for a Senior Healthcare Data Engineering Consultant for a 6 month plus remote contract role. Client is based in the Chicago, IL area .
Senior Healthcare Data Engineering Consultant - Job Description:
Our client is seeking a senior, hands-on Healthcare Data Engineering Consultant to design, build, and operationalize secure clinical-data de-identification workflows. This involves working with Epic-sourced healthcare data and collaborating closely with various stakeholders to deliver dependable, secure, and well-documented data pipelines.
Senior Healthcare Data Engineering Consultant - Responsibilities:
• Design, develop, test, deploy, and support end-to-end data pipelines in Microsoft Fabric using Python and SQL.
• Work with Epic-sourced clinical data, including structured records, flowsheets, and clinical notes.
• Implement approved de-identification controls such as identifier transformation, patient-consistent pseudonymization, and date shifting.
• Translate transformation requirements into reproducible, version-controlled workflows with effective exception handling.
• Develop validation checks for data completeness, referential integrity, and patient linkage.
• Build monitoring, error-handling, audit-logging, and operational-support processes.
• Profile source data, identify privacy and data-quality risks, and recommend remediation approaches.
• Produce architecture diagrams, implementation documentation, validation results, and production-support runbooks.
• Troubleshoot complex pipeline and data-quality issues.
• Communicate risks, dependencies, progress, and timelines clearly to stakeholders.
• Represent the data-engineering workstream in discussions with clinical, privacy, security, vendor, and business teams.
Senior Healthcare Data Engineering Consultant - Mandatory Skills:
• Three or more years of relevant experience in data engineering, healthcare-data integration, or analytics-platform development.
• Strong hands-on experience with Microsoft Fabric, Python, and SQL.
• Demonstrated experience working with Epic data or Epic reporting and integration environments.
• Working knowledge of healthcare-data de-identification concepts.
• Experience building production-quality data pipelines.
• Strong analytical, problem-solving, and troubleshooting skills.
• Clear technical-writing and stakeholder-communication abilities.
Senior Healthcare Data Engineering Consultant - Nice-to-Have Skills:
• Experience with Azure data services, Spark or PySpark, and lakehouse or Delta data architectures.
• Familiarity with clinical data formats and interfaces, including HL7, CDA/CCDA, or FHIR.
• Experience processing clinical free text or working with clinical NLP and de-identification tools.
• Bachelor's degree in computer science, data engineering, information systems, or a related field.
Senior Healthcare Data Engineering Consultant - Assignment Length:
Expected to be a 6 month plus contract with possible extensions.
Senior Healthcare Data Engineering Consultant - Start Date:
ASAP.
Senior Healthcare Data Engineering Consultant - Assignment Location:
Remote in the US with the client located in Chicago, Illinois area.

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