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Healthcare Data Engineer Jobs in California (NOW HIRING)

Healthcare Data Developer

El Segundo, CA · On-site

$90K - $120K/yr

Description Healthcare Data Developer AArete is one-of-a-kind when it comes to consulting firm culture We're a global, innovative management and technology consulting firm with offices in the U.S ...

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Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET. Salary ...

You will collaborate with engineers, product teams, clinical stakeholders, and data analysts to develop AI solutions that power the next generation of digital healthcare products. Key ...

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Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

This role partners with business and technical stakeholders to deliver trusted healthcare data, including Epic data, for reporting, analytics, and AI-driven initiatives. The engineer is responsible ...

... engineering, and legal to ensure smooth data integration and regulatory compliance (HIPAA, de ... Segment the healthcare market across provider, payer, BioPharma, and medical devices - and develop ...

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Experience working in healthcare environments. Responsibilities: * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. * Build and optimize data ingestion ...

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

We help healthcare providers make better/earlier diagnoses and other clinical decisions. The Data ... Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ...

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

We help healthcare providers make better/earlier diagnoses and other clinical decisions. The Data ... Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ...

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Showing results 1-20

Healthcare Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do healthcare data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for healthcare data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 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 California?

The most popular types of Healthcare Data Engineer jobs in California are:

What job categories do people searching Healthcare Data Engineer jobs in California look for?

The top searched job categories for Healthcare Data Engineer jobs in California are:

What cities in California are hiring for Healthcare Data Engineer jobs?

Cities in California with the most Healthcare Data Engineer job openings:

Infographic showing various Healthcare Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Healthcare Data Developer

AArete

El Segundo, CA • On-site

$90K - $120K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Description

Healthcare Data Developer

AArete is one-of-a-kind when it comes to consulting firm culture

We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for.

We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.

The Role

We are looking for a Healthcare Data Developer with strong Snowflake, SQL and Python skills to support the development and testing of healthcare fee schedules. This role will work with healthcare claims data and business requirements to develop data transformations, implement pricing and reimbursement logic, and validate results.

Work You'll Do

  • Develop and maintain healthcare fee schedule solutions using Snowflake, SQL, and Python
  • Translate business and reimbursement requirements into technical logic and data transformations
  • Analyze healthcare claims data to support fee schedule development and validation
  • Develop SQL queries and Python scripts for data processing, transformation, validation, and automation
  • Implement and validate pricing logic based on business requirements
  • Perform functional, regression, integration, and data validation testing
  • Compare expected versus actual pricing results and investigate discrepancies
  • Identify and troubleshoot issues related to data, business rules, or technical implementation
  • Develop automated validation processes to improve the efficiency and accuracy of fee schedule testing
  • Work with business stakeholders to understand requirements and clarify pricing rules
  • Support UAT and resolve issues identified during business testing
  • Perform data reconciliation and identify gaps or inconsistencies in fee schedule coverage
  • Support deployment and post-production validation
  • Collaborate with data engineers, analysts, business stakeholders, and onshore/offshore development teams
  • Document technical logic, testing procedures, and validation results
  • Other duties as assigned

Requirements

  • 3+ years of experience in healthcare data, claims processing, healthcare analytics, data engineering, or a related field
  • Strong Snowflake and SQL skills
  • Strong Python skills for data processing, transformation, validation, and automation
  • Experience working with healthcare claims data
  • Experience with data validation, testing, or QA.
  • Ability to translate business requirements into technical solutions.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail.
  • Ability to work independently and effectively collaborate with technical and business teams
  • Willingness to engage in direct client interaction, including travel to client locations
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

  • Experience with healthcare fee schedules or reimbursement methodologies
  • Knowledge of CPT, HCPCS, modifiers, revenue codes, DRGs/APR-DRGs, NPI, and TIN
  • Experience with professional and institutional claims management
  • Experience with healthcare payer data
  • Experience developing automated testing or validation using Python
  • Familiarity with Git, Jira, and Agile development practices
  • Based in Chicago, IL, and flexible to work from our Chicago office as needed

Compensation & Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $90,000 - $120,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

We put humans at the center of our work

We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

Learn more about our award-winning culture

AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.

AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.

AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:

Recruiting: [emailprotected]

Privacy: