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

Senior Insurance Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Our mission is to deliver an exceptional insurance experience through innovative technology ... data engineering workflows. Exposure to emerging capabilities such as AI-assisted analysis ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer - Hybrid NTT DATA strives to hire exceptional, innovative and passionate individuals ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Data Engineer - Hybrid

Irving, TX · On-site

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

NTT DATA's Client is currently seeking a Data Engineer to join their team in Irving, Texas (US-TX), ... Company benefits may include medical, dental, and vision insurance, flexible spending or health ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Data Engineer

Roanoke, TX · On-site +1

$130K/yr

We are currently seeking a Data Engineer for our client in the Financial Services domain. We value ... Ortho) & Vision Insurance (Option to Enroll). - Paid Leaves (Wherever applicable). - Life ...

Data Engineer

Roanoke, TX · Remote

$65/hr

We are currently seeking a Data Engineer for our client in the Financial Services domain. We value ... Ortho) & Vision Insurance (Option to Enroll). - Paid Leaves (Wherever applicable). - Life ...

Working within a lean, high-impact team, you will collaborate closely with solution engineers and ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

Caremark, LLC, a CVS Health company, is hiring for the following role in Irving, TX: Data Engineer ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

Data Engineer

Plano, TX · 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

Plano, TX

$110K - $132K/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

Roanoke, TX

$109K - $132K/yr

We are currently sourcing for a Data Engineer to work in Westlake, TX! The Fidelity Insurance Group (FIG) Technology team is a small, growing team in Enterprise Services with a 'Start Up' feel. We ...

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 ...

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Showing results 1-20

Insurance Data Engineer information

See Prosper, TX salary details

$40.8K

$118.8K

$162.6K

How much do insurance data engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for insurance data engineer in Prosper, TX is $118,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $125,900.00 per year, depending on experience, location, and employer.

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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 Prosper, TX? For Insurance Data Engineer jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Prosper, TX look for? The top searched job categories for Insurance Data Engineer jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Insurance Data Engineer jobs? Cities near Prosper, TX with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Prosper, TX as of June 2026, with employment types broken down into 64% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $118,793 per year, or $57.1 per hour.

Senior Insurance Data Analyst

Orion180

Irving, TX • On-site

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

At Orion180, we don't just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.
Orion180 is proud to call three vibrant cities home. Our headquarters on Florida's stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth. Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.
JOIN OUR TEAM AS A SENIOR INSURANCE DATA ANALYST!!
We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the business after the real decisions get made. It's the foundation that tells you where risk actually lives, where growth is hiding, and where you're missing opportunities before it's too late to do anything about it.
That belief is driving real investment in our people, platforms, and in how deeply analytics is woven into the way we operate. From underwriting to distribution to customer experience, we're building a data culture where insight drives action.
It also means evolving how we think about the role of an analyst.
The expectation isn't just technical execution. It's curiosity. Ownership. The ability to step into ambiguity, frame the problem, and help guide the business toward better decisions.
To be eligible for this role, you must have the proper work authorizations to work in the US without sponsorship
WHAT YOU'LL DO:
Data Strategy & Pipeline Development
  • Develop and maintain reproducible, scalable data pipelines to support advanced modeling and analytics workflows.
  • Design and implement predictive and time-series models using classical and machine learning methods.
  • Collaborate with sales, underwriting, claims, and actuarial teams to integrate models into production environments.

Modeling & Analysis
  • Leverage Python, SQL, and statistical analysis to identify key data patterns and multivariate correlations.
  • Conduct exploratory data analysis and ensure data integrity across structured and unstructured datasets.
  • Document model assumptions, governance processes, and validation results to maintain compliance with regulatory standards.

Visualization & Communication
  • Build intuitive dashboards and data visualizations using Power BI that translate complex insights into clear business intelligence.
  • Communicate findings and recommendations to cross-functional teams, including leadership and technical partners.
  • Stay current with industry trends and emerging data science tools to continuously improve analytical capabilities.

WHAT WE'RE LOOKING FOR:
Education:
  • Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related field

Experience:
  • Proven experience in data analysis, modeling, and visualization within the insurance or financial services industry.
  • Proficiency in Python, SQL optimization, statistical modeling, API development, and forecasting techniques.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP and familiarity with MLOps frameworks.
  • Strong understanding of both data science and actuarial principles.

Skills & Attributes:
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to manage multiple projects in a fast-paced, results-driven environment.

This is position is 100% onsite in our Irving, TX location
We are interested in candidates who are developing capabilities aligned with modern, forward-looking analytics practices. This includes experience or familiarity with semantic data modeling and governed metric layers, working within scalable cloud data platforms (e.g., Snowflake, Databricks), and integrating analytics within broader data engineering workflows. Exposure to emerging capabilities such as AI-assisted analysis, automated insight generation, and advanced data visualization techniques is highly valued.
Join Our Team & Make an Impact! At Orion180, we don't just meet expectations, we exceed them. If you're ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!
  • Dynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.
  • Compensation: Competitive base pay and performance bonuses.
  • Career Growth: Mentorship, growth tracks, and professional development.
  • Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more!

The office environment is fast-paced and collaborative. An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands.
While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones. In addition, there is an occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects.
Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email hr@orion180.com to request assistance.