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

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 ...

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 ...

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 ...

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 ...

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 ...

Senior IT Data Architect

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 ...

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 ...

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 ...

Senior IT Data Architect

Taylor, MI · On-site

$140 - $180/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 ...

Showing results 41-60

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 Aug 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 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 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:

Infographic showing various Insurance Data Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 79% Full Time, 7% Temporary, 7% Contract, and 7% Nights. Highlights an 100% In-person job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

Senior Director, Head of Data

AAA Life Insurance Company

Livonia, MI • On-site

Other

Vision, Life

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Director, Head Of Data

AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them and their families when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.

Work Solution: Hybrid (Tuesday- Thursday) or Remote (USA)

Relocation Eligibility: Available

The Director, Head of Data provides the vision and leadership for how AAA Life manages and uses data across the company. This role is responsible for designing, building, and maintaining a modern data environment that delivers accurate, reliable, and accessible information to support decision making, operational performance, and long-term growth throughout the enterprise. The Director oversees data architecture, engineering, governance, and analytics enablement and ensures that data is organized, safeguarded, and used responsibly across all business units. This includes establishing clear ownership, strong quality standards, and consistent practices that continually build trust in the company's data. The role works closely with technology, actuarial, finance, distribution, product, and member experience teams to understand needs, set priorities, and ensure data consumers have the right information at the right time. This includes providing the insights and data foundations that help agents succeed in the field and serve members with clarity and confidence. The Director builds and runs a high-performing team and creates the structure needed to scale data capabilities as the company modernizes. This technically-adept leader sets direction, drives alignment, and ensures that data becomes a managed asset that supports member value, operational efficiency, agent success, and future business opportunities.

Responsibilities

Position Responsibilities

Data Strategy and Architecture

  • Define and maintain the enterprise data strategy aligned to the company's North Star architecture
  • Design and evolve the data platform including semantic layer, operational data layer, and integration patterns.
  • Establish domain-aligned data products with clear ownership, quality expectations, and SLAs.
  • Partner with enterprise architecture to ensure data decisions align with platform, cloud, and integration strategies.

Data Engineering and Delivery

  • Oversee delivery of data pipelines, ingestion patterns, event streaming, and operational data flows.
  • Lead teams in building Member 360, Actuarial Valuation data, financial reporting data, policy and claims domains, and other priority data products.
  • Ensure timely delivery of strategic data initiatives including CDC enablement, event modeling, and read models.
  • Implement reliable processes for deployment, monitoring, observability, and data quality measurement.

Data Governance and Stewardship

  • Stand up and chair the Data Council with business and technology leaders.
  • Define data policies, lineage, cataloging, access controls, retention, and metadata standards.
  • Develop a clear data ownership model across domains with accountability for quality and adoption.
  • Establish a data quality framework with automated checks, issue management, and scorecards.

Leadership and Team Development

  • Build and lead multi-disciplinary data squads including engineering, modeling, analytics enablement, and governance.
  • Develop a high-performance, product-oriented team structure aligned with domains such as Policy, Claims, Finance, Member Experience, and Agent Experience.
  • Partner with AAAL Academy on talent development, training paths, and skill assessments.
  • Foster a culture of accountability, transparency, curiosity, collaboration, and continuous improvement.

Business Partnership and Strategy

  • Work closely with Finance, Actuarial, Product, Member Services, Distribution, and Digital Experience to deliver data that drives business outcomes.
  • Translate business needs into data priorities with clear value, sequencing, and measurable impact.
  • Communicate data insights, progress, risks, and decisions to senior leadership.
  • Support modernization efforts including Life+ decommission, platform migrations, experience rebuilds, and operational optimization.
Qualifications

Education/Experience:

Required:

  • 10 years in data engineering, data architecture, or data analytics leadership roles.
  • Experience leading data programs in a regulated industry such as life insurance, financial services, or healthcare.
  • Demonstrated success building modern data platforms in cloud environments.
  • Strong understanding and demonstrated experience building trusted data governance, metadata management, lineage, and data quality principles.
  • Experience leading technology teams through transformation and modernization.
  • Ability to communicate clearly with, drive alignment with, and influence senior leaders.
  • Strong communication skills with the ability to present complex concepts concisely.

Preferred:

  • Experience with Snowflake, DBT, event streaming architectures, API integration patterns, and semantic modeling.
  • Experience building domain-based and business-empowered data products.
  • Familiarity with all tiers of medallion data architectures, data lake, data warehouse, and data lakehouse concepts.
  • Familiarity with Member 360 concepts, actuarial data needs, and operational analytics.

Essential Job Functions

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel and talk or hear. Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and ability to adjust focus.

This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodations will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.

AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.