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

Sun, Inc.

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and ... Pet Insurance * Tuition Reimbursement program providing financial support to team members who ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data solutions ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Sun RV Resorts

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and ... Pet Insurance * Tuition Reimbursement program providing financial support to team members who ...

Sun Communities, Inc.

Senior Data Engineer

Southfield, MI · On-site

$97K - $132K/yr

Career Site Header Job Summary The Senior Data Engineer is a key resource in building and ... Pet Insurance * Tuition Reimbursement program providing financial support to team members who ...

Wipro Limited

Azure Fabric Data engineer

Novi, MI · On-site

$60K - $135K/yr

Azure Fabric Data engineer City: Novi State/Province: Michigan Posting Start Date: 7/9/26 Wipro ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Engineer 2 Exp: 4+ 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 ...

Raymondjames

Lead Cloud Data Engineer

Southfield, MI · Hybrid

$94K - $123K/yr

Summary We are seeking a highly skilled Lead Cloud Data Engineer to join our team. The ideal ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Engineer 2 Exp: 4+ years Data Engineering work experience in PLM Domain Key Responsibilities ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

Hylant

Lead Data & Analytics Architect

Detroit, MI

Prefer bachelor's degree in computer science, data science, engineering, or a related field, or equivalent practical experience. * Insurance industry experience, including familiarity with data ...

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Showing results 1-20

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 Jul 19, 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.

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 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
Data Engineer III (Alteryx Migration & GCP)

Data Engineer III (Alteryx Migration & GCP)

HTC Global Services Inc

Dearborn, MI • On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Job Title Data Engineer III (Alteryx Migration & GCP) Overview / Summary We are seeking a Data Engineer to support the migration of data workflows from Alteryx to cloud-based data platforms. This role will collaborate with developers, architects, product managers, and cross-functional teams to design, develop, test, and deploy scalable data solutions. The ideal candidate will have strong experience with Alteryx, Python, and cloud-based data engineering tools, with a focus on delivering secure, reliable, and maintainable solutions. Key Responsibilities Collaborate with developers, architects, product managers, and feature teams to deliver data engineering solutions. Support migrations from Alteryx to cloud-based data tools and platforms. Design and implement new applications and platform enhancements to accelerate migration efforts. Develop, test, deploy, and maintain services that interact with large-scale data systems. Provide architectural guidance and contribute to cross-team integration efforts. Deliver high-quality, secure, well-tested, and maintainable code. Participate in design discussions and ensure seamless integration with existing platforms and tools. Monitor production software operations and troubleshoot development issues. Contribute to deployment processes and operational improvements. Required Qualifications Bachelor's Degree. 3+ years of experience with Alteryx. 2+ years of experience with dbt Core, Dataform, or Google Cloud Platform (GCP) tools. Strong expertise in Python. Experience with cloud-based data wrangling tools and applications. Experience with ETL, data integration, data analytics, business intelligence, big data, or application development technologies. Ability to work effectively within collaborative engineering teams. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-Hybrid #LI-SK11

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