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

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 ...

Platform Engineer, Data

Austin, TX

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... Health, Dental, Vision Insurance * Paid Time Off Allen Control Systems is an Equal Opportunity ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... Health, Dental, Vision Insurance * Paid Time Off Allen Control Systems is an Equal Opportunity ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... Health, Dental, Vision Insurance * Paid Time Off Allen Control Systems is an Equal Opportunity ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... Health, Dental, Vision Insurance * Paid Time Off Allen Control Systems is an Equal Opportunity ...

About the Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data ... insurance, family-forming assistance, and a mental health program, among others. To learn more ...

Software Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Software Engineer, Data Austin, Texas (Hybrid: Four Days in Office) Note: This is a full-time role ... Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid) * Company-paid Short-Term ...

The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead ... Experience supporting financial services, insurance, healthcare, or public sector organizations.

Staff Data Platform Engineer

Austin, TX · Remote

$117K - $140K/yr

The Staff Data Platform Engineer role at Flo blends Data Engineering, Backend Engineering, and ... Peace of mind through company-paid short-term disability, long-term disability and life insurance

Software Engineer, Data (L2)

Austin, TX · On-site

$113K - $136K/yr

Software Engineer, Data (L2) Austin, Texas (Hybrid: Four Days in Office) Note: This is a full-time ... Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid) * Company-paid Short-Term ...

Software Engineer, Data (L2)

Austin, TX · On-site

$113K - $136K/yr

Software Engineer, Data (L2) Austin, Texas (Hybrid: Four Days in Office) Note: This is a full-time ... Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid) * Company-paid Short-Term ...

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 ...

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 - Sr. Consultant level

Data Engineer - Sr. Consultant level

Visa

Austin, TX • On-site

$152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Visa rating

8.6

Company rating: 8.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

4th of 20 rated payment service providers


Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.
Job Description
Company Description
Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.
Leveraging Visa's solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo's cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.
Pismo's 500+ employees are located in more than 10 countries around the world.
Job Description
What you will do:
  • Contribute to the design and evolution of the data platform, ensuring reliability, cost efficiency, and scalability
  • Implement and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads
  • Support production operations for file- and event-based systems: monitoring, incident response (on-call), and continuous improvement to meet SLAs
  • Participate in code and design reviews, promoting best practices in testing, security, and observability
  • Collaborate with partner teams and internal customers to deliver end-to-end data products
  • Help reduce technical debt and simplify systems with clean interfaces and consistent patterns

This is a Hybrid position.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.
Preferred Qualifications
• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
What we are looking for:
• Strong software engineering background building distributed systems at scale
• Proficiency in Golang or Python
• Cloud computing skills (preferably Azure/AWS) and hybrid designs
• Experience with modern streaming processing
• Data platform tooling: Terraform (IaC), Docker and Kubernetes (production) and Airflow (or similar orchestration)
• Observability and reliability mindset: Grafana, CloudWatch (logs, metrics, traces), on-call participation, SLA awareness
• Strong SQL skills
• Version control and CI/CD: Git/GitHub, pipelines (e.g. Codefresh) or similar
• Soft skills: clear communication, adaptability, self-management, critical thinking, collaboration.
U.S. Applicants Only
The estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

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About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958