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Optum Health Data Engineer Jobs (NOW HIRING)

Guidehouse

Public Health Data Engineer

San Antonio, TX

$103K - $124K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Huntsville, AL

$112K - $135K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

Responsibilities We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to developing cutting-edge healthcare data solutions. This role involves building, managing ...

Guidehouse

Public Health Data Engineer

Charlotte, NC

$111K - $134K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

Responsibilities We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to developing cutting-edge healthcare data solutions. This role involves building, managing ...

Keebler Health

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$110K - $132K/yr

We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare data and AI driven suggestions. About the role We are seeking a skilled and motivated mid level to ...

Apple

Data Engineer - Health Sensing

Sunnyvale, CA · On-site

$134K - $161K/yr

We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support ...

Apple

Data Engineer - Health Sensing

Sunnyvale, CA

$150K - $277K/yr

We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support ...

Apple Inc.

Data Engineer - Health Sensing

Sunnyvale, CA · On-site

$150K - $277K/yr

We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

Overview JOB SUMMARY The Central Health System's Data Engineer is responsible for designing, developing, and maintaining scalable data systems that support enterprise reporting, analytics, data ...

Eitacies Inc

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$117K - $140K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN ... Strong in data ingestion, transformation, validation Plus: * Healthcare / Public Health data ...

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Optum Health Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do optum health data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for optum health data 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 is an Optum Health Data Engineer?

An Optum Health Data Engineer is a technology professional who designs, builds, and maintains data systems for Optum, a health services and innovation company. Their main responsibilities include gathering healthcare data from various sources, ensuring data quality and security, and developing data pipelines to support analytics and reporting. They work closely with data scientists, analysts, and other stakeholders to provide accurate and accessible health data that drives business decisions and improves patient outcomes. Proficiency in tools like SQL, Python, and cloud platforms (such as AWS or Azure) is often required. These engineers play a key role in supporting Optum's mission to improve healthcare delivery through technology and data-driven insights.

What are some common challenges faced by Optum Health Data Engineers when integrating diverse healthcare data sources?

Optum Health Data Engineers often encounter challenges related to integrating data from multiple, disparate healthcare systems, each with unique formats and standards. Ensuring data quality, consistency, and compliance with healthcare regulations like HIPAA adds complexity to the process. Collaborating closely with data scientists, analysts, and healthcare professionals is essential to accurately map data and maintain integrity throughout the data pipeline. Proactively addressing these integration hurdles helps deliver reliable data for advanced analytics and decision-making.

What are the key skills and qualifications needed to thrive as an Optum Health Data Engineer, and why are they important?

To thrive as an Optum Health Data Engineer, you need a solid background in data engineering, SQL, and data warehousing, typically supported by a degree in computer science or a related field. Proficiency with tools such as Python, Spark, ETL platforms, and experience with cloud services like AWS or Azure, along with relevant certifications, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are essential for building reliable data solutions that support healthcare analytics, improve patient outcomes, and drive business decisions.

What is the difference between Optum Health Data Engineer vs Optum Health Data Analyst?

AspectOptum Health Data EngineerOptum Health Data Analyst
Primary RoleDesigns, develops, and maintains data pipelines and infrastructureAnalyzes data to generate reports and insights for decision-making
Required SkillsSQL, ETL, data modeling, programming (Python, Spark)SQL, data visualization, statistical analysis
CertificationsTypically data engineering or cloud certifications (e.g., AWS, Azure)Often data analysis or business intelligence certifications
Work EnvironmentData engineering teams, IT infrastructureBusiness units, analytics teams

Optum Health Data Engineers focus on building and maintaining data systems, while Data Analysts interpret data to support business decisions. Both roles require strong SQL skills, but Data Engineers emphasize data pipeline development, whereas Data Analysts focus on data analysis and reporting.

What are popular job titles related to Optum Health Data Engineer jobs?

For Optum Health Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Optum Health Data Engineer job openings in the United States as of September 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Public Health Data Engineer

San Antonio, TX

Guidehouse
Business Management Consulting • 10K+ employees
Learn more about Guidehouseexternal

$103K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 hours ago

Key responsibilities

  • Support the development, testing, and maintenance of data pipelines and ETL/ELT processes.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early-career professional with foundational experience in data engineering, software development, or cloud technologies who is eager to learn and grow in a collaborative environment.

  • Assist in developing, testing, and maintaining data pipelines and ETL/ELT processes that ingest, transform, and load data from various sources.

  • Support the implementation and enhancement of data models, databases, and cloud-based data solutions.

  • Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers.

  • Develop and maintain scripts, queries, and applications using technologies such as Python, SQL, and PySpark.

  • Support cloud-based data environments and services in AWS and Azure.

  • Assist with the implementation of CI/CD processes and software development best practices using Git and related tools.

  • Monitor data pipelines and systems, identify issues, and support troubleshooting and resolution activities.

  • Perform data validation and quality assurance activities to help ensure data accuracy, completeness, and reliability.

  • Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high-quality solutions.

  • Document technical processes, data flows, and system configurations.

  • Continuously develop technical skills and stay current with emerging data engineering technologies and best practices.


What You Will Need:

  • U.S. Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field.

  • TWO (2) or more years of experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline.

  • Experience with a programming language such as Python, Java, or SQL.

  • Experience with cloud platforms such as AWS or Azure through coursework, certifications, internships, or professional experience.

  • Experience with data integration, ETL, data warehousing, or analytics concepts.

What Would Be Nice To Have:

  • Internship, academic, research, or project experience involving data engineering, cloud computing, or software development.

  • Basic understanding of relational databases and data querying concepts.

  • Familiarity with version control systems such as Git.

  • Basic understanding of software development lifecycle and Agile methodologies.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to learn new technologies and work collaboratively in a team environment.

  • Strong verbal and written communication skills.

  • Experience working with public health data and agencies

  • Exposure to Databricks, Spark, or large-scale data processing technologies.

  • Familiarity with AWS services such as S3, Lambda, or Redshift, or Azure services such as Azure Data Factory, Azure Functions, or Cosmos DB.

  • Experience with data visualization or reporting tools such as Power BI, Tableau, or Kibana.

  • Exposure to CI/CD tools and DevOps practices.

  • AWS, Azure, Databricks, or related cloud/data certifications.

  • Experience supporting healthcare, public sector, or federal clients.

  • Interest in data architecture, machine learning, artificial intelligence, or advanced analytics.

  • Previous consulting, client-facing, internship, or cooperative education experience.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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