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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Strong programming skills in Python and SQL * Knowledge of advanced statistical techniques and ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

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 ...

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Showing results 1-20

Insurance Data Engineer information

See Novi, MI salary details

$41.8K

$121.7K

$166.5K

How much do insurance data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for insurance data engineer in Novi, MI is $121,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Novi, MI? For Insurance Data Engineer jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Novi, MI look for? The top searched job categories for Insurance Data Engineer jobs in Novi, MI are:
What cities near Novi, MI are hiring for Insurance Data Engineer jobs? Cities near Novi, MI with the most Insurance Data Engineer job openings:
AI & Data AVP, Financial Services-Insurance

AI & Data AVP, Financial Services-Insurance

Deloitte

Detroit, MI

$113K - $136K/yr

Other

Posted 5 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 07/20/2026.

Work you'll do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for:

  • Lead AI & Data engagements for our Financial Services - Insurance industry clients
  • Translate business problems into scalable AI, data, and digital solutions
  • Work across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans
  • Advise clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation
  • Support broader AI & Data pursuits and engagements beyond Insurance when needed
  • Lead engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives
  • Define deliverable structure and content; manage quality, timelines, economics, and engagement risk
  • Manage day-to-day interactions with executive clients and sponsors and facilitate buy-in for proposed solutions
  • Lead business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input
  • Coach and develop practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership
  • Lead workshops, executive presentations, and stakeholder sessions.
  • Mentor junior practitioners and contribute to practice, offering, and go-to-market development.

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 10+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation
  • 8+ years of experience with large-scale cloud-enabled Financial Services-Insurance industry AI and data projects
  • 4+ years of experience leading, managing, and delivering complex technology engagements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or Artificial Intelligence
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience leading executive presentations and client workshops for technical and non-technical audiences
  • Experience developing proposals or solution materials for data and analytics professional services engagements
  • Experience creating client-facing materials for workshops and interactive sessions
  • Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 07/20/2026.

Work you'll do

As an Associate Vice President, AI and Data Solutions on the AI & Data team, you will be responsible for:

  • Lead AI & Data engagements for our Financial Services - Insurance industry clients
  • Translate business problems into scalable AI, data, and digital solutions
  • Work across strategy, product, data, engineering, and client stakeholder groups to define solution approach and delivery plans
  • Advise clients on operating model implications, business value, roadmap sequencing, and adoption considerations for AI-enabled transformation
  • Support broader AI & Data pursuits and engagements beyond Insurance when needed
  • Lead engagement planning, budgeting, staffing, and team mobilization for data and AI initiatives
  • Define deliverable structure and content; manage quality, timelines, economics, and engagement risk
  • Manage day-to-day interactions with executive clients and sponsors and facilitate buy-in for proposed solutions
  • Lead business development activities, including client relationship development, pursuit leadership, proposal development, and pricing strategy input
  • Coach and develop practitioners through counseling, staffing input, recruitment, retention, and delivery team leadership
  • Lead workshops, executive presentations, and stakeholder sessions.
  • Mentor junior practitioners and contribute to practice, offering, and go-to-market development.

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 10+ years of experience in enterprise data architecture, data strategy, analytics, AI/ML, and digital transformation
  • 8+ years of experience with large-scale cloud-enabled Financial Services-Insurance industry AI and data projects
  • 4+ years of experience leading, managing, and delivering complex technology engagements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or Artificial Intelligence
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience leading executive presentations and client workshops for technical and non-technical audiences
  • Experience developing proposals or solution materials for data and analytics professional services engagements
  • Experience creating client-facing materials for workshops and interactive sessions
  • Advanced degree in Computer Science, Engineering, Data Science, or Artificial Intelligence

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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