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Insurance Data Engineer Jobs in Farmington, MI (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering & Pipeline Development: * Design, build, and maintain secure, scalable data ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1061533 * Employees in this job function are responsible for designing, building ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1060557 Position Description: Employees in this job function are responsible for ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Reply

Data Engineer

Detroit, MI

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... and services, banking, insurance and public administration sectors in the definition and ...

Reply

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... and services, banking, insurance and public administration sectors in the definition and ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$112K - $152K/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 ...

HTC Global Services, Inc.

Data Engineer III

Dearborn, MI · On-site

$125 - $150/hr

Hybrid | Job Code: 244501 Overview / Summary We are seeking a Data Engineer III to design, build ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Contact Government Services, LLC

Data Engineer

Detroit, MI

$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 ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Farmington, MI

Insurance Data Engineer information

See Farmington, MI salary details

$43.8K

$127.6K

$174.7K

How much do insurance data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for insurance data engineer in Farmington, MI is $127,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 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 Farmington, MI?

For Insurance Data Engineer jobs in Farmington, MI, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Farmington, MI look for?

The top searched job categories for Insurance Data Engineer jobs in Farmington, MI are:

What cities near Farmington, MI are hiring for Insurance Data Engineer jobs?

Cities near Farmington, MI with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

Role intent: 

A hands-on individual contributor role focused on building and maintaining reliable data pipelines, curated datasets, and governed analytics-ready data products. 

Position Summary: 

The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning. 

This role will work closely with data scientists, analysts, and business stakeholders to develop scalable data pipelines, support analytics initiatives, and ensure the availability of high-quality data across the organization. 

The ideal candidate is a hands-on data engineering professional with strong technical skills, a passion for data quality, and experience developing data solutions in a modern cloud environment. 

Key Responsibilities: 

Data Engineering & Pipeline Development:

  • Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives
  • Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple sources
  • Support data integration efforts across customer, marketing, digital, and enterprise data domains
  • Implement data quality checks, validation processes, and monitoring solutions to ensure trusted data products
  • Troubleshoot and resolve data pipeline and data quality issues in production environments

Data Modeling & Analytics Enablement:

  • Build and maintain scalable data models that support analytics and reporting requirements
  • Develop curated datasets that enable consistent business metrics and KPI reporting
  • Collaborate with analysts and data scientists to support advanced analytics, audience development, customer insights, and performance measurement 
  • Assist in implementing data structures that improve usability, consistency, and reusability across teams

Collaboration & Delivery:

  • Partner with business stakeholders to understand requirements and translate them into technical solutions
  • Work closely with cross-functional teams to deliver reliable and scalable data products
  • Participate in code reviews, testing, deployment activities, and continuous improvement initiatives
  • Contribute to documentation, knowledge sharing, and engineering best practices

Data Governance & Reliability: 

  • Follow established standards for data governance, security, privacy, and compliance
  • Monitor pipeline performance and recommend opportunities for optimization
  • Support efforts to improve data quality, reliability, and operational efficiency
  • Maintain documentation for data pipelines, data models, and technical processes

Basic Qualifications:  

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field
  • 8 years of experience in data engineering
  • Strong SQL development skills
  • Experience developing and supporting ETL/ELT pipelines
  • Experience working with cloud-based data platforms and modern data architectures (e.g., Azure, Snowflake, BigQuery, AWS)
  • Proficiency in Python, Spark, or similar data processing technologies
  • Experience working with structured and semi-structured data
  • Understanding of data modeling concepts, including dimensional modeling and data warehousing principles
  • Strong analytical and problem-solving skills
  • Ability to collaborate effectively with both technical and business stakeholders 

Preferred Qualifications: 

  • Experience supporting marketing, customer, digital, or analytics use cases
  • Experience with orchestration and workflow automation tools
  • Familiarity with customer data platforms, customer analytics, or audience management solutions
  • Experience with machine learning data preparation and feature engineering
  • Understanding of data governance and data quality best practices

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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