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

FastTek

Senior Technical Engineer

Dearborn, MI

$96K - $131K/yr

Engineer Exp: 7+ years Data Engineering work experience Education Required: * Bachelor's Degree ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

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Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ... and services, banking, insurance and public administration sectors in the definition and ...

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ... and services, banking, insurance and public administration sectors in the definition and ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ... and services, banking, insurance and public administration sectors in the definition and ...

Integrated Resources INC

ETL Developer

Detroit, MI

$50.50 - $66/hr

Position Description Position will be responsible for the integration, expansion, and support of the North American Automotive and Insurance data warehouse solutions. The Data Warehouse Developer is ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Integrated Resources INC

ETL Developer Position

Detroit, MI

$50.50 - $66/hr

Position Description Position will be responsible for the integration, expansion, and support of the North American Automotive and Insurance data warehouse solutions. The Data Warehouse Developer is ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Collaborate with data engineers, architects, analysts, and data scientists to design and deliver ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Ontology Engineer

Auburn Hills, MI

This role is focused on designing scalable data models and developing high-quality, production ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Cognizant

Sr. Snowflake Technical Lead

Detroit, MI · On-site

$150 - $175/hr

Establish and promote best practices for data engineering, data modeling, governance, security ... Experience supporting Banking, Financial Services, Insurance, or Healthcare clients. * Experience ...

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Showing results 41-60

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

Insurance Data Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do insurance data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for insurance data engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 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 Detroit, MI? For Insurance Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Detroit, MI look for? The top searched job categories for Insurance Data Engineer jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Insurance Data Engineer jobs? Cities near Detroit, MI with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 79% Full Time, 7% Temporary, 7% Contract, and 7% Nights. Highlights an 100% In-person job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

12V Battery - Data Analytics Engineer

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Stellantis is seeking a Warranty Data Analytics Engineer to join the Electrical & Hardware Engineering In-Field Quality organization. The successful candidate will be responsible for identifying, investigating, and resolving in-field quality issues related to 12V Battery systems.  This role plays a key part in enhancing customer satisfaction and reducing warranty claims by delivering timely root cause analysis, corrective actions, and preventative measures in collaboration with engineering and cross-functional teams.  The data analytics engineer is fundamental to providing customized data aggregations that the quality team can leverage to perform triage investigations and statistical tracking of corrective actions.

This Quality Engineer role is ideal for candidates who are hands-on, technically curious, and passionate about delivering high-quality automotive products to customers. It offers the opportunity to work in a fast-paced, cross-functional environment and directly impact the customer ownership experience across Stellantis brands.  Reliability, availability, and passion to deliver are characteristics the candidate is expected to demonstrate on a daily basis.

 

Key Responsibilities:

  • Monitor fleet and field data (warranty, connected vehicle data, CAN network logs) to detect emerging electrical issues across the Stellantis North America fleet.
  • Develop custom data sets to support identification of specific issue signatures defined by the engineering team
  • Collaborate with Quality to support their ability to properly classify 12V Battery related issues
  • Develop tools to analyze the various facets of 12V Battery / vehicle system quality.
  • Track and document issue status in relevant systems (i.e. GIMs) and ensure timely resolution and communication of progress. 
  • Support validation and verification testing to ensure effectiveness of implemented fixes.
  • Support the Quality Management Leader with data analysis, reporting, and field performance reviews.

Basic Qualifications:

  • Bachelor’s degree in Electrical Engineering from an ABET accredited university
  • Minimum of 5 years of experience in data engineering or quality roles
  • Strong analytical and problem-solving skills with a solid foundation in root cause analysis
  • Experience with Palantir and Databricks
  • Strong interpersonal skills and ability to collaborate across functional teams
  • Excellent verbal and written communication skills

Preferred Qualifications:

  • Master’s degree in Electrical, Mechanical, or Computer Engineering
  • Familiarity with structured problem-solving tools such as 8D, FMEA, Fault Tree, Red X, or Shainin
  • Experience in field issue resolution or warranty reduction projects
  • Proficiency with diagnostic tools and data logging systems
  • Experience using quality analytics platforms such as Palantir
  • Knowledge of Stellantis internal tools and systems: Quantic, QFS, CDA tool, JDP, CNs, GIMs
  • Green Belt certification or other formal quality training

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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