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

HTC Global Services

Senior Data Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Job Title: Senior Data Engineer Overview We are seeking an experienced Senior Data Engineer to ... 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 ...

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 · On-site

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 ...

Hylant

Lead Data & Analytics Architect

Ann Arbor, MI · On-site

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 ...

CYNET SYSTEMS

CDA Implementation Lead

Dearborn, MI · On-site

$90/hr

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 ...

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Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Novi, MI

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 Aug 8, 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.

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.

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.
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:
Insurance Data Engineer jobs near you

Data Engineer (Google Cloud Platform)

HTC Global Services

Dearborn, MI • On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

< data-end="886" data-start="868">Job Title

Data Engineer (Google Cloud Platform - Google Cloud Platform)

< data-end="953" data-start="936">Overview

We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible for developing data infrastructure, pipelines, and platforms that support efficient data collection, storage, processing, and analytics. The ideal candidate has experience with Google Cloud Platform (Google Cloud Platform), modern data engineering practices, and cloud-based data solutions.

< data-end="1392" data-start="1363">Key Responsibilities
  • Collaborate with business and technology stakeholders to understand current and future data requirements.
  • Design, build, and maintain reliable, scalable, and efficient data infrastructure for data collection, storage, transformation, and analysis.
  • Develop and maintain scalable data pipelines, data models, and applications to support reliable data workflows.
  • Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouse environments for structured and unstructured data.
  • Develop analytical tools, scripts, algorithms, and automation to support data engineering activities.
  • Monitor data platform performance and identify opportunities for optimization and improvement.
  • Perform data ingestion, data wrangling, and data transformation for various data sources, including loading data into BigQuery.
  • Develop and maintain stored procedures, triggers, and data models.
  • Work with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow.
< data-end="2436" data-start="2404">Required Qualifications
  • Bachelor's or Master's degree.
  • 4+ years of Data Engineering experience.
  • Experience with Data Engineering, Data Warehousing, and Data Modeling.
  • Experience with Google Cloud Platform (Google Cloud Platform) services, including cloud-native application development and deployment.
  • Experience with data ingestion, transformation, and BigQuery.
  • Experience with stored procedures, triggers, and data modeling.
  • Experience with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow.
  • Strong understanding of AI-assisted development tools, including Gemini Code Assist, OpenCode, and GitHub Copilot.
  • Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and large language models (LLMs).
  • Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation.
< data-end="3352" data-start="3319">Preferred Qualifications
  • Experience with Google Cloud Platform cloud services.
  • Familiarity with Vertex AI, Gemini models, and AI APIs.

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.

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