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

Senior IT Data Architect

Taylor, MI · On-site

$150 - $200/hr

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short ... Collaborate with Data Engineers to define source-to-target mappings, data pipelines, semantic ...

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 ...

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 ...

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 ...

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 ...

Manager, Data Engineering

Detroit, MI · On-site

$150 - $200/hr

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 ...

Senior IT Data Architect - #3003

Taylor, MI · Hybrid

$62.50 - $83.50/hr

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short ... Collaborate with Data Engineers to define source-to-target mappings, data pipelines, semantic ...

Senior IT Data Architect - #3003

Taylor, MI · Hybrid

$62.50 - $83.50/hr

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short ... Collaborate with Data Engineers to define source-to-target mappings, data pipelines, semantic ...

Senior IT Data Architect - #3003

Taylor, MI · On-site

$62.50 - $83.50/hr

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short ... Collaborate with Data Engineers to define source-to-target mappings, data pipelines, semantic ...

ETL Developer

Detroit, MI · On-site

$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 ...

ETL Developer Position

Detroit, MI · On-site

$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 ...

Showing results 41-60

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:

Senior IT Data Architect

Wade Trim

Taylor, MI • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Wade Trim rating

9.2

Company rating: 9.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

35th of 453 rated engineering


Job description

What We Offer:

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Mentor Program, Sustainability Program, and Wellness Program.

Position Description:

We are looking for a Senior IT Data Architect to join our IT team in Taylor, Michigan. Candidates must be able to work out of the Taylor, Michigan office and should have at least five years of experience in data architecture, data engineering, database design, enterprise application integration, or related data platform roles. Candidates should also have a bachelor's degree in data architecture, computer science, information systems, data science, engineering, or a related field with strong SQL and applicable data integration experience. A flexible, hybrid remote schedule is available after 30 days of employment.

Typical responsibilities include:
  • Develop a roadmap for data projects in conjunction with the business units
  • Design and maintain enterprise data models, integration patterns, and architecture standards that unify data across Wade Trim databases and enterprise applications
  • Provide curated, governed, and model-ready datasets that support Development team solutions, Citizen Development initiatives, analytics, automation, AI, and model development
  • Collaborate with Data Engineers to define source-to-target mappings, data pipelines, semantic models, and reusable data assets
  • Translate business and application needs into scalable data architecture requirements, data models, and integration designs
  • Analyze structured and unstructured data sources to identify opportunities for standardization, consolidation, and reuse
  • Establish data quality expectations, validation rules, metadata standards, and lineage practices
  • Support dashboards, reports, applications, automations, and AI use cases by ensuring data is consistent, trusted, and accessible
  • Support development of repeatable data delivery and integration workflows
  • Develop data access protocols in conjunction with the business units
  • Maintain a safe working environment
Education:
  • Bachelor’s degree in Data Architecture, Computer Science, Information Systems, Data Science, Engineering, or related field is required
Skills/Experience
  • 5+ years of experience in data architecture, data engineering, database design, enterprise application integration, or related data platform roles
  • Strong SQL, data modeling, database design, and data integration experience is required
  • Experience with Azure and Microsoft Fabric is required
  • Experience with SQL and NoSQL databases is required
  • Experience with Enterprise Data Architecture is required
  • Experience with Data Modeling, Semantic Modeling & Integration Design is required
  • Experience with Business and Application Data Requirements Translation is required
  • Understanding of data pipelines, semantic models, APIs, ETL/ELT patterns, and model-ready data preparation is required
  • Strong communication skills with the ability to explain data architecture concepts to technical and non-technical stakeholders is required
  • Cross-Functional Collaboration is required
  • Strategic Thinking & Problem Solving is required
  • Exposure to the Architecture, Engineering, and Construction (AEC) industry is preferred
About Wade Trim:

Wade Trim is committed to maximizing the value of infrastructure investments. We’ve been solving complex engineering challenges for a century. We customize our work approach to fit each project using a collaborative, friendly style to deliver solutions our clients can stand behind.

Our supportive culture recognizes and strives to fulfill collective client, company, and individual needs. Mentoring and building skills of Wade Trim staff is a priority. Frequent interaction among staff is encouraged, company leadership is easily accessible, and opportunities are provided for staff to help shape the firm’s future through strategic planning. Work/life balance is supported through a flexible, hybrid work schedule that brings team members together in the office at least three days a week and connects them virtually when working from home.

To solve our clients’ toughest challenges, we’ve devoted ourselves to delivering innovative solutions. Our Office of Applied Technology (OAT) is dedicated to seeking new technologies or ways to apply existing technologies to enhance value to our clients and positively impact communities. All staff are encouraged to share ideas and suggestions for innovative technologies or processes to adopt. This open-minded approach enables us to advance technology, foster innovation, and stay ahead of our clients’ needs.

Wade Trim’s success is shared by the employees that make it happen. Since our beginning, our firm has been 100% employee owned. This cultivates an ownership mindset that benefits our work approach, collaborative culture, and ability to deliver client solutions. We believe employee ownership drives the sustainability and growth of our firm and provides all our employees with opportunities for financial success.

Wade Trim is an affirmative action/Equal Opportunity Employer.

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