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

Senior Data Engineer

Dallas, TX

$104K - $142K/yr

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal ... Medical Insurance * Dental Insurance * Vision Insurance * Short & Long Term Disability * Life ...

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal ... Medical Insurance * Dental Insurance * Vision Insurance * Short & Long Term Disability * Life ...

Senior Data Engineer (Remote)

Allen, TX · Remote

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project ... Knowledge and experience in the Commercial (P&C) Insurance industry is a plus. Compensation ...

Sr. Data Engineer

Coppell, TX · On-site

$97K - $132K/yr

Sr. Data Engineer As our Sr Data Engineer, you will function as a consultant between our technology ... insurance, travel, entertainment, services and more!) Auto Club Enterprises is the largest club ...

Genesis10 is currently seeking a Principal Data Engineer for a hybrid position with a Global ... Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF ...

We are seeking a highly motivated and self-driven Data Engineer with a strong background in ... Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable Annual Pay ...

What you need to have to be considered * 10+ years of experience in data engineering, data ... Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off * 401(k) plan and ...

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Showing results 41-60

Insurance Data Engineer information

See McKinney, TX salary details

$41.3K

$120.4K

$164.7K

How much do insurance data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for insurance data engineer in McKinney, TX is $120,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $127,600.00 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 McKinney, TX?

For Insurance Data Engineer jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in McKinney, TX look for?

The top searched job categories for Insurance Data Engineer jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Insurance Data Engineer jobs?

Cities near McKinney, TX with the most Insurance Data Engineer job openings:

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 875 frontline employees who took The Breakroom Quiz

27th of 45 rated automakers


Job description

Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.
Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, TN, (job flexibility benefits) (also known as I-140 or Adjustment of Status portability), etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.
Who we're looking for
The Toyota Financial Services Site Reliability Engineering is looking for a passionate and highly motivated Production Data Engineer. Reporting to the Manager of Production Engineering, the individual in this role will play a pivotal role in troubleshooting and resolving complex technical issues for financial software and systems, acts as an escalation point for frontline support, and collaborates with product and engineering teams to improve the product. Additionally, the engineer will collaborate closely with the Major Incident Management team to address and resolve production environmental issues
What you'll be doing
  • Act as the primary point of contact for production support, managing and resolving tickets across various business units.
  • Triage and prioritize support tickets based on urgency and impact.
  • Conduct root cause analysis and apply critical thinking to solve complex problems.
  • Analyze trends in support tickets to proactively identify recurring issues and implement long-term solutions.
  • Document processes, resolutions, and recurring issues for knowledge management and training purposes.
  • Suggest and implement improvements to processes to reduce ticket volume and enhance efficiency.
  • Monitor system performance and proactively address potential issues.
  • Collaborate with the Major Incident Management team to address and resolve critical issues in the production environment.

What you bring
  • Bachelor's degree in information technology or related field.
  • Excellent troubleshooting and problem-solving skills.
  • Strong communication and collaboration skills.
  • Experience building and supporting full-stack data engineering solutions.
  • Experience developing reusable and scalable data frameworks.
  • Experience understanding functional and non-functional requirements gathering.
  • 3+ years of experience designing and implementing data pipelines across multiple systems and platforms.
  • 5+ years of experience of data and systems engineering principles across the data lifecycle.
  • 4+ years of experience working with operational and analytical workloads.
  • Familiarity with Enterprise Data Warehouse, ETL, and Data Management concepts and processes.
  • Experience working with cloud-based, analytical, distributed, and open-source technologies.
  • Hands-on experience with AWS, Snowflake, MongoDB, and PostgreSQL.
  • Familiarity to Optimize cloud resource usage and cost through rightsizing and autoscaling configurations.
  • 4+ years of experience to Automate operational tasks and incident response using scripting and infrastructure as code (Terraform, CloudFormation).

Added bonus if you have
  • Knowledge of networking and security principles.
  • Ability to navigate through UI and understand end - end process
  • Experience successfully analyzing and documenting complex business processes
  • Knowledge of Agile/Lean framework and methodology
  • Proficiency in either Python, Java, and SnowSQL.
  • Experience using GitHub, Gradle, Maven, and Jenkins.
  • Experience writing and optimizing advanced SQL and PL/SQL queries and stored procedures for efficient data processing and transformation.

What we'll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
  • A work environment built on teamwork, flexibility and respect
  • Professional growth and development programs to help advance your career, as well as tuition reimbursement
  • Vehicle purchase & lease programs
  • Comprehensive health care and wellness plans for your entire family
  • Flextime and virtual work options (if applicable)
  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
  • Paid holidays and paid time off
  • Referral services related to prenatal services, adoption, childcare, schools and more
  • Flexible spending accounts
  • Relocation assistance (if applicable)

Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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