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Healthcare Data Analytics Engineer Jobs in California

Hyperbolic

Senior Data Analytics Engineer

San Francisco, CA · On-site

$124K - $169K/yr

They are seeking their first data analytics hire to establish and own the data foundation for their ... data health • Experience with dashboard development and business intelligence tools (Hex ...

Hyperbolic Labs

Senior Data Lead

San Francisco, CA · On-site

About the Role We're seeking a data analytics lead to establish and own the data foundation for our ... Expert at data debugging and ensuring data correctness with a proactive approach to data health

Propeller Health

Sr Manager, Data Analytics

San Diego, CA · On-site +1

$170K - $212K/yr

Translate complex healthcare and operational requirements into product requirements and analytics ... Collaborate with data engineering teams to ensure required data assets and metrics are available ...

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Healthcare Data Analytics Engineer information

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 in California are hiring for Healthcare Data Analytics Engineer jobs?

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

Infographic showing various Healthcare Data Analytics 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.

Healthcare Data Analyst II

Rancho Cucamonga, CA • On-site

Inland Empire Health Plan
Insurance Services • 1 - 5K employees
Learn more about Inland Empire Health Planexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago

Inland Empire Health Plan rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Overview

What you can expect! 

Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!

Under the direction of the Quality Systems Leadership Team, the Healthcare Data Analyst II (HDA) is responsible for leading various data and analysis efforts for the Health Plan's Clinical and Provider departments, programs, and quality activities.  The HDA must have significant experience in designing relational databases, complex query logic and statistical analysis.  In addition to technical data concepts, the HDA will utilize sound research methods and statistical concepts in designing reliable studies/analyses, and payment algorithms supporting IEHP's quality programs.  The HDA presents study/analysis results to various audiences throughout the organization, including the leadership team.

 

Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

Perks

 

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance
Key Responsibilities
  • Serve as technical lead in analysis and reporting efforts that support the Health Plan's Clinical and Provider teams, programs, and quality activities.
  • Significant participation in analysis, interpretation, and translating of complex health plan data, issues, trends, and relationships into effective strategies and action plans.
  • Present findings of analyses to various staff levels including executive team, leadership team and staff levels.  Present results in formats that are easy to understand and appropriate to the audience.
  • Use analytical skills to determine solutions and resolve problems.
  • Exercises timely and accurate data mining techniques and develops new or modifies existing reports that ensure consistent and congruent conclusions to data analysis.
  • Applies statistical modeling methodologies when appropriate in the development of health plan, provider, and member analysis.
  • Develop and prepare reports to support IEHP's clinical and provider units utilizing available analytics and data mining tools, including but not limited to: Microsoft Applications (including MS Access and MS PowerBI), SAS, SQL, system-specific reporting tools (or other related reporting software).
  • Responsible for evaluating report requests to determine requestor's needs and objectives, identifying correct methodology for extracting data including data sources and criteria, and ensuring the delivered report is accurate, timely, and formatted appropriately.
  • Responsible for understanding the various data sources available within IEHP for reporting and analysis, as well as a clear understanding of IEHP business operations to be able to appropriately guide the development of quality program activities, including analysis and reporting.
  • Responsible for managing assigned projects and effectively communicating with the QS leadership team any project deadlines that may be in jeopardy of being met, well in advance of the due date. 
  • Document all analysis / reporting projects following established protocols, ensuring replication of results by an independent reviewer.
  • Designs and enhances databases to support reporting and analysis needs, including testing, validating, and maintaining data integrity and accuracy, across multiple databases.
  • Demonstrate a commitment to incorporate LEAN principles into daily work.
  • Establish and maintain effective working relationships with others throughout the organization.
    • Qualifications

    Education & Requirements 

    • Three (3) years of relevant work experience
    • Demonstrated experience working with large data sets and relational database structures
    • Master's degree from an accredited institution required
      • In lieu of a Master's degree, a minimum of a Bachelor's degree and two (2) years of additional relevant work experience is required for this position
      • This experience is in addition to the minimum years listed in the Experience Requirements above

    Key Qualifications

    • Understanding of statistical methods and experience applying statistical methods to answer data questions
    • Working knowledge of data analysis, study methodology, and preparing professional documents
    • Data analysis, data presentation, spread sheet and database capabilities
    • Proficient in of Microsoft Access, MS PowerBI, SAS, SQL, or other statistical applications are essential
    • Excellent interpersonal/ communication skills
    • Proficiency in Microsoft Excel, Word and Power Point required
    • Strong attention to detail
    • Ability to present reports / data analysis findings in group settings
    • Strong problem-solving capability
    • Ability to manage multiple projects with time-sensitive deadlines a must

    Start your journey towards a thriving future with IEHP and apply TODAY!

    Work Model Location

    This position is on a hybrid work schedule. (Mon & Fri - remote, Tues - Thurs onsite in Rancho Cucamonga, CA)

    Pay RangeUSD $91,249.60 - USD $120,910.40 /Yr.Employment Type: FULL_TIME

    What Inland Empire Health Plan employees say

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