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

Azure Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card ... You will independently drive design decisions to insure the necessary health of the overall ...

Big data engineer

Houston, TX · On-site

$53.25 - $70.50/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Big Data Engineer Location: Houston, TX- locals highly preferred Duration: Through 3/31/2017 Notes:

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... Databricks Certified Data Engineer Professional Key Responsibilities: * Design and implement ...

Senior Data Engineer - Software Note: Position is not eligible for visa sponsorship. At WhiteWater ... Company-Paid Life Insurance. * Pathways to Advancement. * Free Weekly Car Washes. If you are ...

New

Data Solutions Engineer

Houston, TX

$109K - $131K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and ... Life Insurance * Voluntary Accident Insurance - Self and Family * Short and Long-Term Disability

Showing results 21-40

Insurance Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do insurance data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for insurance data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

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.

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.
What are popular job titles related to Insurance Data Engineer jobs in Houston, TX? For Insurance Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Houston, TX look for? The top searched job categories for Insurance Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Insurance Data Engineer jobs? Cities near Houston, TX with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

Senior Data Engineer
Note: Position is not eligible for visa sponsorship.
At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for people. Our dedicated team members are leaders within the company, and we believe that personal growth is the key to our organizational success. If you are a self-starter, motivated, and ready to take on new challenges, we want you to succeed with us, as a part of a rapidly growing business.
Location: 106 Vintage Park Blvd. Houston, TX 77070
Position Overview
We're looking for a Software Engineer who thrives at the intersection of software development and data engineering and is excited to build technology that drives real-world impact. In this role, you'll take ownership of designing and developing end-to-end systems that automate workflows, integrate business processes, and power data-informed decision-making across a fast-growing, multi-location organization.
From creating internal workflow tools and customer-facing checkout experiences to building APIs and ETL pipelines that seamlessly sync on-site MySQL databases with our Snowflake data warehouse, your work will directly improve operational efficiency, scalability, and the foundation for long-term growth through smart, integrated technology.
Key Responsibilities
  • Design and develop full-stack applications using Python, PHP, Node.js, JavaScript.
  • Build and maintain ETL pipelines to integrate and transform data across multiple systems using tools such as DBT etc.
  • Develop and manage APIs to support system and data integrations
  • Administer and optimize Snowflake, MySQL, and SQL Server databases
  • Orchestrate and monitor data workflows using tools such as Airflow or similar platforms
  • Maintain and support off-the-shelf software solutions
  • Implement role-based access controls and data security best practices
  • Collaborate with Data Analysts to optimize reporting and data accessibility
  • Manage code repositories using Git and participate in CI/CD workflows
  • Leverage cloud environments including AWS, Google Cloud, Azure, or DigitalOcean
  • Troubleshoot technical issues and provide support to internal stakeholders
  • Stay current with emerging technologies and continuously improve systems

Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or related field or 8+ years of hands-on software engineering experience
  • Strong proficiency designing and maintaining ETL pipelines
  • Deep understanding of database management, SQL optimization, data analytics and data warehousing
  • Experience with PHP, Node.js, JavaScript, Python, and C#
  • Experience with frameworks such as Laravel, Express.js, or WordPress
  • Familiarity with cloud computing platforms (AWS, GCP, Azure)
  • Knowledge of API design, CI/CD pipelines, Git version control, and Agile methodologies
  • Strong problem-solving skills and ability to manage multiple priorities
  • Excellent communication skills and ability to collaborate cross-functionally

Benefits
  • Comprehensive Health Benefits (Medical, Dental & Vision)
  • Paid Time Off in addition to Company Paid Holidays
  • 401(k) Retirement Plan with Company Match
  • Company-Paid Life Insurance
  • Pathways to Advancement
  • Free Weekly Car Washes

Our employees are our most valuable asset. We only employ the best people in the service industry who embrace new challenges with enthusiasm. If you are looking for professional development with advancement opportunities in a fast-growing organization, come join our Team!
#INDCorp