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

Data Engineer

Plano, TX

$107K - $128K/yr

Description Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software ... Medical, dental, and vision insurance; employer-paid life and AD&D insurance; employee assistance ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Overview Data Engineer This position is hybrid working from our Legacy West Support Center located ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software Engineering ... Medical, dental, and vision insurance; employer-paid life and AD&D insurance; employee assistance ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

Job Type Full-time Description Job Title- Data Engineer Department- Systems & Technology Reports to ... Medical, dental, and vision insurance; employer-paid life and AD&D insurance; employee assistance ...

Data Engineer

Addison, TX · On-site

$95K - $120K/yr

... data systems. They guide stakeholders, Product Owners, and Software Engineers through the design ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

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

Dallas, TX

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

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Showing results 1-20

Insurance Data Engineer information

See Irving, TX salary details

$42.7K

$124.6K

$170.4K

How much do insurance data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for insurance data engineer in Irving, TX is $124,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 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 Irving, TX? For Insurance Data Engineer jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Irving, TX look for? The top searched job categories for Insurance Data Engineer jobs in Irving, TX are:
What cities near Irving, TX are hiring for Insurance Data Engineer jobs? Cities near Irving, TX with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Irving, 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 $124,560 per year, or $59.9 per hour.

Data Engineer II - General Motors Insurance

GM Financial

Fort Worth, TX • On-site

$109K - $131K/yr

Full-time

Retirement

Posted 10 days ago


GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

76th of 171 rated vehicle equipment hire


Job description


Remote work opportunity
Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Responsibilities
About the role:
We are expanding our efforts into complementary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data, vehicle telemetry etc. Our interests are in enabling reporting, data science and search based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable data engineering and analytic data systems including automation for development, deployment and monitoring. This role participates along with team counterparts to develop solutions in an end-to-end framework on a group of core data technologies.
In this role you will:
  • Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies to keep pace with industry innovation
  • Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
  • Contribute to the definition and refinement of processes and procedures for the data engineering practice
  • Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect and format data from the external sources, internal systems, and the data warehouse to extract features of interest
  • Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation

Qualifications
What makes you an ideal candidate?
  • Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Pulsar, Flume or similar distributed systems.
  • Experience with ingesting various source data formats such as JSON, Parquet, CSV, SequenceFile, Cloud Databases, Document Databases like CosmosDB, MQ, Relational Databases such as Oracle.
  • Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation.
  • Understanding of cloud computing technologies, business drivers and emerging computing trends.
  • Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape.
  • Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, ADLS etc.
  • Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management.
  • Strong background with source control management systems (GIT or Subversion); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps).
  • Experience with NoSQL data stores such as CosmosDB, MongoDB.
  • Experience in working with vehicle telemetry and auto insurance data is a plus.
  • Creating and maintaining ETL processes.
  • Knowledgeable of best practices in information technology governance and privacy compliance.
  • Experience with Adobe solutions (ideally Adobe Experience Platform) and REST APIs.
  • Troubleshoot complex problems and works across teams to meet commitments.
  • Excellent computer skills and proficiency in digital data collection.
  • Ability to work in an Agile/Scrum team environment
  • Strong interpersonal, verbal, and writing skills.
  • Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses
  • SQL experience: querying data and sharing what insights can be derived
  • Understanding of cloud solutions such as Microsoft Azure & Amazon AWS cloud architecture & services
  • Understanding of GDPR, privacy & security topics. Understanding of data management and governance tools like Atlan, Immuta etc. is a plus.
  • Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python

Additional Knowledge and Skills
  • Working effectively within an AI enabled environment:
    • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

Work Experience & Education
  • 2-4 years of hands-on experience with data engineering required
  • Bachelor's degree in related field or equivalent experience required

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible remote work environment.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
#GMFJobs #LI-Remote #LI-SC1
The base range for this role is: $58,000 - $165,500
At GM Financial, we strive for transparency in all aspects of our business, including pay equity. This is the GM Financial pay range for this role and job level. The exact salary and compensation will vary based on factors like knowledge, skills, experience, and education.
This role is eligible to participate in a performance-based incentive plan. Full time employees are eligible to participate in health benefits on day one of employment.

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