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

Eurofins

Senior Data Engineer

Stafford, TX · On-site

$92K - $125K/yr

We're seeking a skilled Senior Data Engineer to design, build, and maintain the robust data ... disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and ...

Skyknight Capital

Senior Data Engineer

Houston, TX · On-site

$90 - $130/hr

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. We only employ ...

New

Net Orbit

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 ...

Stem Xpert

Big data engineer

Houston, TX

$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:

Rysun Labs Inc

Data Technical Architect

Houston, TX · On-site

$70/hr

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

ENGIE Group

Sr Data Engineer_ITDE1I

Houston, TX · On-site

$102 - $170/hr

As the Senior Data Engineer, you will own product delivery and forward planning for Cloud Data ... Our comprehensive benefits package includes options for medical, dental, vision, life insurance ...

New

Whitewatercw

Senior Data Engineer - Software

Houston, TX · On-site

$100 - $130/hr

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 ...

BakerHostetler

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

CGI Inc.

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Comprehensive insurance options . Matching contributions through the 401(k) plan and the share ... Data Engineering * Databricks * ETL * Generative AI * Large Language Model (LLM) * Snowflake

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Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Houston, TX

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 Sep 3, 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.

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 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:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Senior Data Engineer

Eurofins

Stafford, TX • On-site

$92K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Eurofins rating

7.5

Company rating: 7.5 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

64th of 121 rated laboratories

Job description

Company Description
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.
Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.
Job Description
Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex chemical data, specifically chromatograms and environmental testing results. We're seeking a skilled Senior Data Engineer to design, build, and maintain the robust data pipelines and infrastructure necessary to support our ML model training, deployment, and analysis workflows. The ideal candidate has a strong foundation in data engineering, understands the unique challenges of scientific data, and is eager to work closely with both Machine Learning Engineers (MLE) and Chemists.
Key Responsibilities
  • Data Pipeline Development: Design, construct, and manage scalable and reliable ETL/ELT pipelines to ingest, clean, transform, and store raw chemistry data (e.g., CSV, JSON, and proprietary instrument formats).
  • Data Modeling & Warehousing: Develop optimized data models and manage a data warehouse (or data lake) to support fast querying and ML feature engineering on complex datasets, including time-series and spectral data from chromatograms.
  • ML Infrastructure: Collaborate with MLE to containerize and deploy ML models and build automated model retraining and monitoring pipelines.
  • Data Quality & Governance: Implement robust data quality checks, validation, and monitoring to ensure the integrity and reproducibility of chemical experiment data used for ML.
  • Tooling: Develop internal tools and APIs to facilitate data access for MLE and provide standardized interfaces for data submission from chemistry lab systems.

Qualifications
Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field (or equivalent practical experience)
Required Experience:
  • Programming: Expert-level proficiency in Python (including packages like Pandas, NumPy, and familiarity with data engineering libraries).
  • Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP, preferred Azure), including services related to computing, storage, and serverless functions (e.g., Azure Data Lake Storage (ADLS), Azure Compute VMs, Azure Functions).
  • Data Orchestration: Proven experience building and managing data workflows using an orchestration tool like Apache Airflow, Prefect, or Dagster.
  • Databases: Strong knowledge of SQL and experience working with both relational (e.g., PostgreSQL) and NoSQL databases.
  • Version Control: Proficient with Git and standard DevOps practices
  • Scientific Data Experience: Prior experience handling and processing complex, large-volume scientific data (e.g., mass spectrometry, chromatography, LIMS/ELN integration).
  • MLOps: Familiarity with MLOps platforms and tools such as Azure ML Studio, MLflow, Kubeflow, or Sagemaker.
  • Chemistry Domain: Basic understanding of analytical chemistry concepts, such as chromatography fundamentals (e.g., retention time, peak integration) and relevant file formats.
  • Authorization to work in the United States without restriction or sponsorship
  • Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.

Required General Skills
  • Problem-Solving: Strong analytical and problem-solving skills with a focus on delivering high-quality, reproducible data solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to bridge the gap between technical infrastructure, data science models, and chemical applications.

Additional Information
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options.
We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development.
We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.
Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal!
Find out more in our career page: https://careers.eurofins.com/
Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.

What Eurofins employees say

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About Eurofins

Sourced by ZipRecruiter

Industry

Scientific research and development services, biotechnology research and development and environmental consulting services

Company size

10,000+ Employees

Headquarters location

Leacock, PA, US

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