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Insurance Data Engineer Jobs in Austin, TX (NOW HIRING)

Sr. Data Engineer

Austin, TX ยท Hybrid

$113.50K - $136.30K/yr

Role: Sr. Data Engineer Key Activities/Responsibilities: As a member of the agile development team ... insurance and more * Great work/life balance * Hybrid working arrangement Luna Data Solutions, Inc ...

New

Data Engineer

Austin, TX ยท On-site

$113.50K - $136.30K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Great medical, dental & vision Insurance packages * Competitive 401K with company match to plan for ...

Data Engineer

Austin, TX ยท On-site +1

$113.50K - $136.30K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Great medical, dental & vision Insurance packages * Competitive 401K with company match to plan for ...

Data Engineer

Austin, TX

$113.50K - $136.30K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Great medical, dental & vision Insurance packages * Competitive 401K with company match to plan for ...

Sr.Data Engineer

Austin, TX ยท On-site

$130K/yr

Data Engineer We are looking for a data engineer in Austin, TX. We're not looking for banking or insurance co. experienced profiles. Please submit only product base co. experienced profiles. Day1 ...

Sr Data Engineer

Austin, TX ยท On-site

$114.20K - $137.20K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable ... Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs ...

Data Engineer

Austin, TX ยท Hybrid

$113.90K - $136.80K/yr

We are currently seeking an experience Data Engineer to play a key role within a high-impact ... Life insurance * A 401(K) plan with company match * Flexible spending through a cafeteria plan ...

Data Engineer

Austin, TX ยท Hybrid

$113.90K - $136.80K/yr

We are currently seeking an experience Data Engineer to play a key role within a high-impact ... Life insurance * A 401(K) plan with company match * Flexible spending through a cafeteria plan ...

Data Engineer

Austin, TX ยท On-site

$113.50K - $136.30K/yr

Outdoorsy's marketplace, insurance, and retreats provide life-changing financial benefits for RV ... The Outdoorsy Group is seeking an experienced Data Engineer to drive two business critical ...

Data Engineer

Austin, TX ยท On-site

$113.50K - $136.30K/yr

Outdoorsy's marketplace, insurance, and retreats provide life-changing financial benefits for RV ... The Outdoorsy Group is seeking an experienced Data Engineer to drive two business critical ...

Data Engineer

Austin, TX

$113.50K - $136.30K/yr

Outdoorsy's marketplace, insurance, and retreats provide life-changing financial benefits for RV ... The Outdoorsy Group is seeking an experienced Data Engineer to drive two business critical ...

Data Engineer

Austin, TX ยท On-site

$113.50K - $136.30K/yr

Outdoorsy's marketplace, insurance, and retreats provide life-changing financial benefits for RV ... The Outdoorsy Group is seeking an experienced Data Engineer to drive two business critical ...

Data Engineer

Austin, TX ยท On-site

$113.50K - $136.30K/yr

Data Engineer Employment Type: Full-Time, Mid-level CGS is seeking a passionate and driven Data ... Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid ...

Data Engineer

Austin, TX

$113.50K - $136.30K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Data Engineer

Austin, TX

$113.50K - $136.30K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Job#: 3035475 Sr Data Engineer Location: Austin, Texas (Onsite) Employment Type: Contract Role ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Senior Data Engineer

Austin, TX ยท On-site

$105.10K - $142.70K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable ... Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs ...

Senior Data Engineer

Austin, TX ยท Hybrid

$110.70K/yr

We are seeking a Senior Data Engineer to join our Data Engineering organization. This is a handson ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Senior Data Engineer

Austin, TX ยท On-site

$110.70K/yr

We are seeking a Senior Data Engineer to join our Data Engineering organization. This is a hands-on ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Sr Data Engineer

Austin, TX

$113.50K - $136.30K/yr

Job#: 3033710 Senior Data Engineer Location: Austin TX (3 days onsite) Duration : Full time direct ... Medical, dental, vision, HSA/FSA, life insurance * PTO starts immediately * 401(k) + profit sharing ...

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Showing results 1-20

Insurance Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do insurance data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for insurance data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What are popular job titles related to Insurance Data Engineer jobs in Austin, TX? For Insurance Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Austin, TX look for? The top searched job categories for Insurance Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Insurance Data Engineer jobs? Cities near Austin, TX with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Austin, TX as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.
Sr. Data Engineer

$113.50K - $136.30K/yr

Other

Medical, Dental, Vision, Life

Posted 2 days ago


Job description

Luna Data Solutions has an immediate long-term contract position opening (initial contract term approximately 12 months, with possible extension beyond that) for a Sr. Data Engineer resource with our public sector industry client located in Austin, TX.ย *This is a hybrid role in which this resource will work 2 days remotely with 3 days (Tuesday, Wednesday, and Friday) required to be onsite in Austin, TX.ย  All candidates must be currently local/close to the Austin, TX area.ย 
Role:ย  Sr. Data Engineer
Key Activities/Responsibilities:

As a member of the agile development team, the worker responsibilities may include:

  • Filling the role of a technical leader, leading an agile development team through a project.
  • Data acquisition from a variety of data sources for multiple uses.
  • Developing complex SQL scripts to transform the source data to fit into a dimensional model, then to create views and materialized views in Oracle.
  • Developing automation with Informatica Power Center/IICS to pull data from external data sources and transform it to fit into a dimensional model.
  • Collaborating with other members of the Data Engineering Team on the design and implementation of an optimal data design.
  • Verification and validation of SQL scripts, Informatica automation and database views.
  • Developing automated means of performing verification and validation.
  • Participating in all sprint ceremonies.
  • Work closely with the Architects and Data Engineering Team on implementation designs and data acquisition strategies.
  • Develop mockups and work with customers for validation.
  • Working closely with other members of the team to address technical problems.
  • Assisting with the implementation and configuration of developmental tools.
  • Producing and maintaining technical specifications, diagrams, or other documentation as needed.
  • Participation in requirements and design sessions.
  • Interpreting new and changing business requirements to determine the impact and proposing enhancements and changes to meet these new requirements.


Required Qualifications:
ย 

  • Minimum of 8 years of experience developing mappings and workflows to automate ETL processes using Informatica Power Center or IICS.
  • Minimum of 8 years of experienceย acquiring and integrating data from multiple data sources/technologies using Informatica Power Center or IICS for use by a Tableau data visualization object. Data source techs should include Oracle, SQL Server, Excel, Access and Adobe PDF.
  • Minimum of 8 years of experience designing and developing complex Snowflake SQL scripts that are fast and efficient.
  • Minimum of 8 years of strong analytical and problem-solving skills with experience as a system analyst for a data analytics, performance management system, or data warehousing project.
  • Minimum of 8 years of technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), and the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project.
  • Minimum of 8 years of experience in planning and delivering software platforms used across multiple products and organizational units.
  • Minimum of 8 years of proven ability to write well designed, testable, efficient code by using best software development practices.


Preferred Qualifications:

  • Excellent oral and written communication skills.
  • Ability to effectively manage multiple responsibilities, prioritize conflicting assignments, and switch quickly between assignments, as required.
  • Experience on an agile sprint team.
  • Understanding of security principles and how they apply to healthcare data.
  • Experience with state-of-the-art software components for a performance metrics data visualization or business intelligence environment
  • Bachelorโ€™s degree in Computer Science, Information Systems, or Business or equivalent experience.
  • Prior experience in the Healthcare Industry.
  • Prior experience with an HHS agency.
  • Prior experience working with PII or PHI data.
  • Experience designing and developing scripts using Python.
  • Experience with JIRA software.
  • Functional knowledge or hands on design experience with Web Services (REST, SOAP, etc.).
  • Experience designing and developing code using Java and JavaScript.
  • Experience developing CI/CD pipelines with GitHub and Git Actions.
  • Experience as a MuleSoft developer.
  • Experience developing using AI tools such as Snowflake Cortex and Intelligence, and/or Informatica Claire.

What we offer:

  • Competitive compensationย and benefits including health, dental, vision, STD, LTD, voluntary life insurance and more
  • Great work/life balance
  • Hybrid working arrangement


Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status. A 7-year background check is required.