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

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 ...

Lead Cloud Data Engineer

Southfield, MI ยท 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 ...

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 ...

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 ...

Data Platform Architect

Southfield, MI ยท On-site

$58.50 - $75.25/hr

Partnering closely with data engineering, analytics, governance, and application teams, the Data ... Pet Insurance * Tuition Reimbursement program providing financial support to team members who ...

Data Platform Architect

Southfield, MI ยท On-site

$58.50 - $75.25/hr

Partnering closely with data engineering, analytics, governance, and application teams, the Data ... Pet Insurance * Tuition Reimbursement program providing financial support to team members who ...

Data Architect

Dearborn, MI

$58.50 - $75.25/hr

Programming * GCP * Software Development * Data Architecture * Data/Analytics * Big Query ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

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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Showing results 1-20

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 Jun 27, 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 health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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:
Senior Full-Stack BI Architect / Fabric Data Engineer

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI โ€ข On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

About Us

At Proactive Technology Management,ย we'reย transforming howย businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, weย leverageย cutting-edgeย technologies to deliver actionable insights that give our clients a competitive advantage.ย We'reย seeking aย Senior Full-Stack BI Architect / Fabric Data Engineerย to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you!ย 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric designย through the use ofย ubiquitous language and domain-driven principles.ย You willย leverageย deepย expertiseย in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technicalย expertiseย in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions.ย 

Key Responsibilitiesย 
  • Lead the design and implementation of ETL/ELT pipelines within aย medallion architectureย (Bronze, Silver, andย Goldย layers) to ensure data quality, scalability, and accessibility across use cases.ย ย 
  • Architect and develop advanced data models that reflectย domain-driven design principles, aligning with business domains and usingย ubiquitous languageย to ensure clarity and usability for all stakeholders.ย ย 
  • Design and implement star and snowflake schemas, along withย medallion schema practices, to provide flexible, high-performance data structures for analytics.ย ย 
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.ย ย 
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.ย ย 
  • Build andย optimizeย SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.ย ย 
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.ย ย 
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.ย ย 
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.ย ย 
  • Mentor team members to build organizational capacity in BI and data engineering best practices.ย ย 

Requirements

Qualifications
  • Bachelor's orย Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.ย ย 
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.ย ย 
  • In-depthย expertiseย inย medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.ย ย 
  • Proven ability to implementย domain-driven design (DDD)ย principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.ย ย 
  • Expert-levelย proficiencyย in Power BI, DAX, Power Query M, and SQL, withย demonstratedย success delivering scalable, impactful BI solutions.ย ย 
  • Strong programming skills with Spark Python for advanced data processing and analytics.ย ย 
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.ย ย 
  • A track recordย of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.ย ย 
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.ย ย 
  • Strong communicationย and leadership skills, with a focus on collaboration and stakeholder engagement.ย ย 

Benefits

  • Competitive compensation tailored to senior-levelย expertise.ย ย 
  • Opportunities to shape data strategy and lead transformative BI projects.ย ย 
  • Ongoing professional development through advanced training and certifications.ย ย 
  • A supportive, innovative culture that values diversity, inclusion, and creativity.ย ย 
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

Ifย you'reย ready to lead the next evolution of business intelligence-harnessing the power ofย medallion architecture,ย domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success.ย