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

FastTek

Data Engineering Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Engineer 3 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 ...

Infosys

Cloud Data Engineer-Snowflake/AWS

Detroit, MI · On-site

$113K - $136K/yr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

CYNET SYSTEMS

CDA Implementation Lead

Dearborn, MI · On-site

$90/hr

Requirement/Must Have: * 10+ years of experience in data architecture, data engineering, or data ... Drive migration of legacy insurance data systems to CDA platform, overseeing data profiling ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Partner with data engineers to define and source relevant data features for modeling as well as ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

FastTek

Senior Technical Engineer

Dearborn, MI · On-site

$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 ...

Learning Care Group

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

This role combines marketing domain knowledge with data engineering expertise to ensure marketing ... insurance, disability, accident, critical illness, hospital indemnity, pre-paid legal, pet ...

Learning Care Group

Marketing Data Domain Lead

Novi, MI · On-site

$81K - $101K/yr

This role combines marketing domain knowledge with data engineering expertise to ensure marketing ... insurance, disability, accident, critical illness, hospital indemnity, pre-paid legal, pet ...

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Showing results 21-40

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 8, 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/Google Cloud Platform/Bigquery/Dearborn, MI Local

Motion Recruitment Partners, LLC

Dearborn, MI • On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 6 days ago

Job description

Our client is seeking an Analytics Migration Engineer to join their team on a full-time basis. In this role, you will lead the migration and modernization of analytical code, data pipelines, and statistical models from legacy on-premise environments to Bitquery in modern cloud platforms (Google Cloud Platform), ensuring analytical continuity as outputs, data, and AI/ML models are validated across environments. *This role is hybrid 3 days a week in Dearborn, MI*
You will work across data engineering, analytics, and data science teams to maintain business-critical reporting and modeling while enabling a scalable, cloud-based analytics ecosystem. This role blends migration execution, validation, and optimization, giving you the chance to help shape a modern, future-ready analytics environment.
Required Skills & Experience
  • Bachelor's Degree in a quantitative or technical field (Computer Science, Data Science, Statistics, Mathematics, Engineering, or related)
  • Experience with analytical programming languages such as SAS 9.4, SAS Viya, Python, and SQL
  • Experience with cloud data platforms (Google Cloud Platform, AWS, or Azure) or supporting on-prem to cloud migrations
  • Experience with Bigquery
  • Experience validating data outputs, dashboards, and statistical or machine learning models
  • Strong understanding of data structures, ETL processes, and analytical workflows
  • Experience troubleshooting data discrepancies and performing root cause analysis
  • Ability to work across cross-functional teams, including data engineering, analytics, and business stakeholders
  • Strong attention to detail and commitment to data accuracy and quality
Desired Skills & Experience
  • Experience migrating SAS-based analytical environments to cloud platforms
  • Experience validating and deploying machine learning models in cloud environments (e.g., Vertex AI)
  • Familiarity with automated testing frameworks and data pipeline orchestration tools (e.g., Airflow, Cloud Composer)
  • Experience optimizing analytical code and queries for performance and scalability in the cloud
  • Experience supporting large-scale analytics or CRM data ecosystems
  • Strong documentation and process design skills to support repeatable migration frameworks
  • Ability to translate technical findings into clear insights for non-technical stakeholders
  • Experience in large enterprise or highly regulated data environments
What You Will Be Doing
  • Migrate legacy analytical code (SAS, SQL, Python) and data pipelines from on-prem environments to Google Cloud Platform, refactoring workflows for modern cloud architecture and best practices
  • Validate and reconcile outputs between legacy and cloud environments to ensure consistency and accuracy across data, reporting, and models
  • Perform regression testing and quality assurance across datasets, dashboards, and statistical/ML models to confirm functional parity post-migration
  • Support migration and re-platforming of AI/ML and statistical models, troubleshooting discrepancies in data, code logic, and performance
  • Partner with data engineering, analytics, and business teams to maintain continuity of business-critical reporting during migration
  • Build automated testing, monitoring, and validation processes to ensure long-term data and model integrity
  • Document migration processes, code changes, and best practices, and contribute to ongoing optimization of analytics workflows in the cloud

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply