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

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Data Engineer Location: Austin, TX, USA Job Type: Full-Time About the Role We are seeking a Data ... Health Insurance * PTO * Flexible Schedule * 401(k) * Learning Budget

Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/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

$113K - $136K/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

$114K - $137K/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 On-site

$113K - $136K/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 ...

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/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 On-site

$113K - $136K/yr

... DevOps concepts and Monitoring Tools * Solid grasp of computer science fundamentals including data ... Health, dental, and vision insurance

Data Engineer II

Austin, TX ยท On-site

$115K - $125K/yr

ReUp Education is looking for a Data Engineer II to help us empower more adult learners and ... Medical, dental, and vision insurance for employees * * We pay 100% of the employee's premium and ...

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Medical, Dental, and Vision Insurance. * 401(k) with Employer Match. * Paid Time Off (PTO) and ...

Staff Data Engineer

Austin, TX ยท On-site

$160K - $195K/yr

As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and ... Generous employer-paid health, vision and dental insurance coverage * Flexible vacation policy

Build and operationalize ML workflows for data preparation, feature engineering, model training ... benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee ...

Senior Data Engineer

Austin, TX ยท On-site

$133K - $188K/yr

Build and operationalize ML workflows for data preparation, feature engineering, model training ... benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee ...

GCP Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Our team is dedicated to pioneering the future of data-driven decision-making, enabling ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

GCP Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... Experience in architecture, design and data presentation skills. Preferred Skill and Experience ...

... engineers is essential. * Hands-on experience with modern data platforms and catalog or observability tooling (e.g. Secoda, Monte Carlo, Alation, Ataccama, or similar). * Insurance or regulated ...

Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

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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 Jul 18, 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.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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 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.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
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 July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Engineer

Aivra Health LLC

Austin, TX โ€ข On-site

$113K - $136K/yr

Other

Medical, Retirement, PTO

Posted 4 days ago


Job description

Data Engineer

Location: Austin, TX, USA

Job Type: Full-Time

About the Role

We are seeking a Data Engineer to build scalable data pipelines and support analytics and machine learning initiatives.

Key Responsibilities
  • Design ETL pipelines.
  • Build scalable data architectures.
  • Optimize SQL queries.
  • Manage cloud-based data warehouses.
  • Ensure data quality.
  • Collaborate with Data Scientists.
Required Qualifications
  • Bachelor''s degree in Computer Science or related field.
  • Strong SQL and Python skills.
  • Experience with ETL processes.
  • Knowledge of cloud platforms.
Preferred Skills
  • Python
  • SQL
  • Spark
  • Airflow
  • Snowflake
  • Databricks
  • AWS
  • Azure
  • Kafka
Benefits
  • Health Insurance
  • PTO
  • Flexible Schedule
  • 401(k)
  • Learning Budget