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Insurance Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

... Data Engineer, having built large and complex data pipelines * Experience designing, building and ... Competitive Benefits, Pay and Bonus Potential, Group Health Insurance, Vision and Dental Insurance.

Data Engineer II

Temple, TX ยท Hybrid

$92K - $111K/yr

Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs ... Implement data engineering best practices, including automation, monitoring, testing, and ...

Data Engineer - Hybrid

San Antonio, TX ยท On-site

$70 - $90/hr

Genesis10 is currently seeking a Data Engineer for a contract position with a Major Insurance Company located in San Antonio, TX. This is a contract opportunity. This is a hybrid position.

New

Data Engineer

Austin, TX ยท Remote

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... insurance, and more. Great People A casual, high-energy environment where authenticity is ...

Data Engineer

Dallas, TX

$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 ...

Data Engineer

Austin, TX

$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 (On-Site)

Plano, TX ยท On-site

$94K - $118K/yr

We are currently seeking a Senior Data Engineer (On-Site) to join our team on-site in either our ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Lead Data Engineer

Lake Dallas, TX ยท On-site

$111K - $133K/yr

Insurance, insurtech, healthcare, or financial services industry experience * Snowflake, Azure, or Generative AI certifications Location & Work Model Dallas, TX - Onsite Engagement Details 12-month ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... insurance, and more. Great People A casual, high-energy environment where authenticity is ...

Data Engineer

Westlake, TX ยท On-site

$60 - $70/hr

... a Data Engineer on a 12+ month contract. The role will design, develop, and support enterprise ... life insurance. Rate: $60.00 to $70.00/hr. w2 Responsibilities: * Design, build, and support ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data ... Company paid life insurance * Company paid short and long-term disability * Generous parental paid ...

Big Data Engineer

San Antonio, TX ยท On-site

$50.75 - $67/hr

Big Data Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

Data Engineer

Irving, TX ยท On-site +1

$141K - $144K/yr

... Analyze data engineering problems and develop, build and manage large-scale data structures ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

New

Data Engineer- Manager

Dallas, TX ยท On-site

$113K - $136K/yr

KPMG is currently seeking a Data Engineer to join our Audit Technology Alliance organization ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

Gen AI Engineer

Plano, TX ยท On-site

$110K - $132K/yr

Roles & Responsibilities Core Roles and Responsibilities Work with the Insurance Data Science teams ... A scientist with strong cs/engineering skills or an engineer with strong science/analytics ...

Showing results 41-60

Insurance Data Engineer information

What is an insurance data engineer?

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.

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 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 cities in Texas are hiring for Insurance Data Engineer jobs?

Cities in Texas with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in Texas as of August 2026, with employment types broken down into 75% Full Time, 17% Contract, and 8% Nights. Highlights an 100% In-person job distribution.

$109K - $131K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago


Job description

Overview:
Job Description
We hire the best employees to serve our customers. We are looking for an experienced Software Developers and Engineers who has a passion for building software solutions, asking questions to solve customer problems and is comfortable working in a product environment.
Office Location:
  • Alpharetta, GA
  • Full Time
  • F2F required & 100% Onsite from Day 1

This is a great opportunity to onboard on an emerging team to build software solutions that makes a direct impact to positive claims customer experience. You will be entering a high performance environment that inspires you to develop, guide, mentor and build solutions. The diversity of experience you will gain is dependent on your curiosity, your excitement to peek into the current state and express the future, challenge leadership with idea generation to continually refine the skills.
We Are Looking For Candidates With,
Terraform, AWS, Cloud Formation and Bigdata experience is mandatory.
Responsibilities and Qualification:
  • 12+ years of total IT experience
  • 3+ years of experience as a Data Engineer, having built large and complex data pipelines
  • Experience designing, building and operationalizing large scale enterprise data solutions and applications using AWS data and analytics services in combination with other services/platforms - Spark, EMR, RedShift, Kinesis, Kinesis Firehose, Athena, Lambda & AWS Glue
  • Thorough knowledge of AWS concepts for use in day-to-day development regarding security, networking, and other concepts. This will require understanding how IAM Roles, VPCs, Security Groups, Access Control Lists, Lifecycle Policies, etc., will impact the products you build. Must also know how to adjust those pieces.
  • Experience integrating with orchestration tools for data pipeline and workflow management such as: AWS Step Functions, Airflow, etc.
  • Experience implementing streaming big-data pipelines as well as batch job flows in AWS
  • Able to implement a change data capture (CDC) experience
  • Able to support and contribute towards the building of end-to-end products on AWS in all aspects including Development, DevOps, designing, architecting, testing, and maintenance/operations
  • Advanced working SQL knowledge and experience working with relational databases and NOSQL databases.
  • Experience designing and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Scala.
  • Must have experience with infrastructure-as-code tools such as Terraform (preferably) or CloudFormation
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • Understanding of concepts regarding security, privacy, performance, etc.
  • Kubernetes experience for developing, deploying, and orchestrating micro-services are plus.

Attributes
  • Passionate, intelligent, critical thinker, problem solver, highly persuasive
  • Proactive communicator, documents clearly and succinctly
  • Detail-oriented, thoughtful, respectful - a team player

Required experience
  • Bachelor's degree in STEM (Science, Technology, Engineering)
  • Master's degree in STEM (Science, Technology, Engineering) preferred

Experience and Skills That Are Nice to Have
  • Scrum/Agile methodology working group experience

What You Can Expect
  • Next Steps: Competitive candidates may be invited to participate in the interview process. This is where the excitement begins!
  • Applicants are required to be eligible to lawfully work in the U.S. immediately; Preferably U.S Citizens and GC Holders.

What's In It for you?
  • Competitive Benefits, Pay and Bonus Potential, Group Health Insurance, Vision and Dental Insurance. Paid Vacation.

About R2 Technologies
R2 Technologies Corporation (R2) a Georgia Corporation with headquarters in Alpharetta GA, is a technology company in the space of Big Data, Oracle E-business Suite, DevOps & Managed Services, Mobile Application Development, HRMS, productivity platforms, which enables the end clients to deliver business value to their stakeholders. Platform based solutions provides an opportunity for quick turnaround of solutions. Google cloud, AWS and frameworks are part of our key solutions. We have been serving US industry since inception of the business, R2 is one of the fastest growing companies specializing in product development and staffing for leading local, regional and national clients consisting of small, midsize and fortune 1000 companies.
Skills:
Terraform,AWS,Amazon Redshift