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Healthcare Data Analytics Engineer Jobs in California

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

True-Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform ... Unlimited PTO and sick time Health & Wellness * Company-paid medical, dental, and vision insurance ...

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Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$118K - $141K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position ...

Deloitte

Data & Analytics Engineer

San Jose, CA · Hybrid

$134K - $161K/yr

As an experienced Data & Analytics Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

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Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job Role The Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position ...

Kirkhill Inc.

Data Analytics Engineer

Brea, CA · On-site

$85K - $200K/yr

Job RoleThe Senior Data Analytics Engineer serves as a key technical and analytical partner within Kirkhill, developing and optimizing systems, data, analytics, and automation. This position supports ...

PetersonCat

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines ... success and care. We believe inhelping each other achieve their aspirations. We prioritize ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

... with genuine care, warmth and respect. AmaWaterways fosters a collaborative environment both ... Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our ...

Netpace Inc

Data & Analytics Engineer

Milpitas, CA · On-site

Netpace Inc is looking for an outstanding Data & Analytics Engineer to join their Information Services department. The role involves designing and developing analytics solutions, architecting data ...

Latica

Senior Healthcare Data Analyst

Palo Alto, CA · On-site

$120K - $150K/yr

Strong experience with Python and Pandas for data analysis and processing * Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.) * Experience with ...

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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.

Senior Consultant, Health Care Data Analytics

Los Angeles, CA

COPE Health Solutions
Business Management Consulting • 51 - 200 employees
Learn more about COPE Health Solutionsexternal

$111K - $139K/yr

Full-time

Posted 28 days ago

Job description

The Senior Consultant will work with cross-functional teams in a centralized consulting role supporting multiple client engagements and internal operational initiatives. The Senior Consultant is responsible for independent ownership of major analytical workstreams as well as defining methodology and reporting logic. This includes, but is not limited to, designing, developing, maintaining, and executing healthcare analytics and reporting solutions that enable clients and internal leadership to evaluate performance, identify opportunities, and improve outcomes across value-based care programs. 

This position partners closely with consulting, product, engineering, clinical, and client stakeholders to translate complex healthcare data into meaningful insights that drive operational efficiency, quality improvement, utilization management, care management performance, risk adjustment optimization, and financial success. The ideal candidate must be accountable for deliverable quality and deadlines, comfortable with direct presentation to client executives, possesses deep healthcare data expertise, SQL development skills, strong analytical thinking, and an ability to leverage AI-enabled technologies to improve reporting and analytics capabilities. 

FLSA Status 

​​Exempt​  

Salary Range 

$111,600 - $139,400 

Reports To 

Director, Medical Economics 

Direct Reports 

None 

Location 

​​Los Angeles, CA Hybrid

Travel 

​​Up to 40%​  

Work Type 

​​Regular​  

Schedule 

​​Full Time​  

 

Position Description

  • Design, develop, automate, maintain, and execute client-facing and internal dashboards, reports, scorecards, and recurring analytics supporting value-based care initiatives. 
  • Translate client and stakeholder business requirements into scalable reporting and analytical solutions using SMSS SQL, Excel, and other business intelligence tools.
  • Analyze healthcare claims, EMR, and operational datasets to identify actionable opportunities related to quality performance, care management, utilization management, prior authorization, HCC risk adjustment, population health, and medical cost/utilization. 
  • Develop executive-ready reporting that highlights operational efficiencies, outcomes, successes, failures, emerging trends, and strategic opportunities.
  • Validate healthcare data for completeness, accuracy, consistency, and adherence to business rules while ensuring reporting integrity and reproducibility. 
  • Collaborate with product, engineering, consulting, and implementation teams to map client-specific data elements and define reporting logic aligned with client requirements. 
  • Investigate data anomalies, perform root cause analyses, and recommend solutions that improve data quality and accurate reporting. 
  • Support implementation of new reporting capabilities for value-based care programs including MSSP, ACO REACH, Medicare Advantage, Commercial Risk, and Medicaid value-based arrangements. 
  • Present analytical findings to both technical and executive audiences in a clear, actionable manner. 
  • Utilize AI-enabled technologies to accelerate report development, optimize SQL coding, improve documentation, automate repetitive analytical processes, and identify innovative opportunities for enhancing client value. 
  • Contribute to continuous improvement initiatives that modernize analytics capabilities, increase operational efficiency, and strengthen consulting delivery. 
  • Review or quality oversight of junior team members.
  • Project leadership or information mentorship.

Qualifications

  • Graduate degree with a quantitative, healthcare, business or technical focus preferred, bachelor’s degree and applicable experience will be considered.
  • 3+ years of professional experience performing healthcare analytics within a consulting firm, health system, payer, accountable care organization, or healthcare technology organization.
  • Demonstrated experience working with healthcare claims and eligibility data (professional, institutional, and pharmacy). 
  • Experience with Electronic Medical Record (EMR/HER) and Utilization Management and Prior Authorization datasets preferred
  • Proficiency in SQL 
  • Familiarity of data visualization and Business Intelligence platforms 
  • Working knowledge of value-based care programs and healthcare risk-based arrangements including MSSP, ACO REACH, Medicare Advantage, and alternative payment models. 
  • Experience supporting HCC Risk Adjustment, quality, care management reporting, and utilization management analytics. 
  • Strong consulting, project management, and stakeholder relationship management skills. 
  • Experience utilizing AI technologies (e.g., ChatGPT, Microsoft Copilot, Claude, GitHub Copilot, or similar tools) to improve analytics development, SQL optimization, reporting automation, and operational efficiency.
  • Excellent written and verbal communication skills with the ability to explain technical concepts to both technical and business audiences.  
     

Benefits

As a firm passionate about health care, we’re deeply committed to the health and wellness of our own team members. We offer comprehensive, affordable insurance plans for our team and their families, and a host of other unique benefits, such as a yearly stipend for wellness-related activities, and a paid parental leave program. You can learn more about our benefits offerings here: https://copehealthsolutions.com/careers/ 

  
About COPE Health Solutions 
COPE Health Solutions is a national tech-enabled services firm powering success for health plans and for providers in risk arrangements. Our comprehensive NCQA certified population health management platform and highly experienced team brings deep expertise, experience, proven tools, and processes to improve financial performance and quality outcomes for all types of payers and providers. CHS de-risks the roadmap to advanced value-based payment and improves quality and financial performance for providers, health plans and self-insured employers. For more information, visit https://copehealthsolutions.com/about-us/  

  
To Apply: To apply for this position or for more information about COPE Health Solutions, visit us at https://copehealthsolutions.com/careers/open-positions/ 

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