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

... data and project information, and apply your expertise and training to make well-informed ... SME covers the premium cost of medical insurance so that you and your families never have to worry ...

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Read and interpret blueprints, dimensional data, surface locations, and interpreting geometrical ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Paid Holidays * Bereavement Leave

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Showing results 41-60

Insurance Data Engineer information

See Cassopolis, MI salary details

$42.4K

$123.5K

$169K

How much do insurance data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for insurance data engineer in Cassopolis, MI is $123,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,900.00 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 cities near Cassopolis, MI are hiring for Insurance Data Engineer jobs? Cities near Cassopolis, MI with the most Insurance Data Engineer job openings:

Associate Change Control & Data Retrieval Specialist

System One

Portage, MI • Remote

$30 - $36/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

Job Title: Associate Change Control & Data Retrieval Specialist Location: Portage, MI Type: Contract Compensation: $30-36/hr Work Model: Hybrid – onsite and remote

Responsibilities • Lead data retrieval and collection efforts across internal systems (e.g., PLM, ERP, QMS) and external sources (e.g., suppliers) to support PEC regulatory requirements (e.g., REACH, RoHS, PFAS, PPWR). • Compile, cleanse, and validate complex datasets to ensure accuracy, traceability, and readiness for regulatory submissions and internal reporting. • Partner cross-functionally (Engineering, Supply Chain, Regulatory, Quality, and external suppliers) to obtain required material, component, and product-level compliance data. • Create and manage Enterprise Change Notices (ECNs) within the Quality Management System to implement updates tied to PEC findings, ensuring all documentation and data inputs are compliant and audit-ready. • Translate regulatory requirements into data needs, identifying required attributes, documentation, and evidence to support compliance initiatives. • Support supplier engagement and outreach to request, track, and follow up on material declarations, certifications, and compliance documentation. • Perform data analysis and gap assessments, highlighting missing or inconsistent information and driving resolution with stakeholders. • Maintain and update project tracking tools and dashboards, ensuring visibility to data collection progress, risks, and completion status across PEC programs. • Contribute to process improvements by standardizing data collection methods, templates, and workflows to enhance efficiency and scalability of PEC efforts. • May act as Change Owner as needed, coordinating implementation plans and ensuring execution aligns with regulatory timelines.

Requirements • Bachelor’s degree in Engineering or related field • Strong attention to detail with the ability to manage and interpret complex datasets • Demonstrated ability to gather, analyze, and validate data from multiple sources • Excellent communication and collaboration skills across diverse, global teams • Strong organizational and project management capabilities • Experience in change control or change management within a regulated industry (Preferred) • Experience in the medical device industry (Preferred) • Familiarity with Product Environmental Compliance (PEC) regulations (e.g., REACH, RoHS, PFAS) (Preferred) • Experience with PLM tools (Windchill/onePLM) or similar systems (Preferred) • Experience working with supplier data collection and compliance documentation (Preferred)

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Ref: #558-Scientific