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

CNS Healthcare

Data Engineer

Detroit, MI · On-site

$108K - $129K/yr

Comprehensive medical insurance options * Employer-paid benefits including dental, vision, life ... Data Engineering & Pipeline Development * Design, develop, and maintain scalable ETL/ELT pipelines ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

CNS Healthcare

Data Engineer

Detroit, MI

$108K - $129K/yr

Comprehensive medical insurance options * Employer-paid benefits including dental, vision, life ... Data Engineering & Pipeline Development * Design, develop, and maintain scalable ETL/ELT pipelines ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

Role Overview We are looking for a DevOps / Data Engineer to build and manage scalable cloud ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1052627 * Employees in this job function are responsible for designing, building ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Role Overview We are looking for a DevOps / Data Engineer to build and manage scalable cloud ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1060557 Position Description: Employees in this job function are responsible for ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

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 Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1055558 * Employees in this job function are responsible for designing, building ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054720 * Employees in this job function are responsible for designing, building ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer III Overview / Summary We are seeking a Data Engineer III responsible for ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

HTC Global Services Inc

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer III Overview / Summary We are seeking a Data Engineer III responsible for ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Job Title Data Engineer III Overview / Summary We are seeking a Data Engineer III responsible for ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

Contact Government Services, LLC

Data Engineer

Detroit, MI

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Stellantis

Senior Data Engineer

Auburn Hills, MI

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Apex Systems

Data Engineer

Warren, MI · On-site

$107K - $128K/yr

Job#: 3036837 Data Engineer Location: Warren, Michigan (Onsite) Role Overview A technical ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

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Showing results 1-20

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

Insurance Data Engineer information

See Farmington, MI salary details

$43.8K

$127.6K

$174.7K

How much do insurance data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for insurance data engineer in Farmington, MI is $127,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 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 job categories do people searching Insurance Data Engineer jobs in Farmington, MI look for? The top searched job categories for Insurance Data Engineer jobs in Farmington, MI are:
What cities near Farmington, MI are hiring for Insurance Data Engineer jobs? Cities near Farmington, MI with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Data Engineer

Data Engineer

CNS Healthcare

Detroit, MI • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

The Data Engineer will design, build, and maintain secure, scalable data pipelines, integrations, and data platforms that support CNS Healthcare's clinical, operational, quality, and billing functions.
What we are looking for:
CNS Healthcare, a leading provider of Mental Health Services in southeast Michigan is seeking a Data Engineer to join our dynamic and fast-paced team. The Data Engineer is responsible for enabling secure exchange of healthcare data, particularly involving State of Michigan CHAMPS systems for direct billing, while ensuring strict adherence to HIPAA and other regulatory requirements governing PHI/PII.
As a member of our team, you will have an opportunity to make a meaningful impact on our community and the lives of the individuals that we serve. CNS Healthcare provides a robust total rewards program to support our team members and their loved ones. We've shared some highlights below, but you can visit the benefits guide posted on our careers page to learn more!
  • Comprehensive medical insurance options
  • Employer-paid benefits including dental, vision, life, and short-term disability insurance
  • Retirement program with generous company default contribution and match
  • Generous PTO program starting at 18 days annually
  • 16 paid holidays, including 3 floating holidays
  • Paid parental leave
  • Student loan forgiveness eligibility, including Public Service Loan Forgiveness (PSLF), HRSA, and more

Interested in learning more about this role?
Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform healthcare data from EHRs, billing systems, quality systems, HR systems, and external partners.
  • Ensure high data quality through validation, cleansing, reconciliation, observability, and monitoring processes.
  • Support real-time and batch data workflows for clinical reporting, analytics, quality measures, CCBHC reporting, and billing operations.
  • Build reusable data assets and pipelines that support operational reporting, revenue cycle analytics, quality bonus reporting, and executive dashboards.
Proactive Solutions Platform Support & Production Readiness
  • Support and extend the Proactive Solutions data platform and related reporting tools, including the Productivity Report and future data mart / analytics capabilities.
  • Partner with Proactive Solutions, CNS IT leadership, and the data team to move the platform from development to production in a secure, supportable manner.
  • Help define and implement production support practices, including deployment procedures, release management, environment configuration, monitoring, incident response, and issue escalation.
  • Ensure the platform can be maintained by CNS over time through clear documentation, knowledge transfer, runbooks, and repeatable support processes.
  • Design solutions that allow CNS to evolve toward a longer-term architecture without requiring unnecessary rebuilds.
AI, LLM, and Agentic Data Engineering Enablement
  • Support AI-assisted and agentic data engineering capabilities, including secure use of tools such as GitHub Copilot, Open Code, Azure OpenAI, OpenAI, Anthropic, or other approved enterprise AI services.
  • Help implement secure BYOK/API-key patterns where appropriate, including credential management, access controls, audit logging, usage monitoring, and vendor compliance requirements.
  • Collaborate with IT leadership and vendors to ensure that any AI-enabled coding, data query, or analytics capabilities are implemented in a HIPAA-compliant and security-approved manner.
  • Assist in evaluating AI tool performance, cost, security posture, and operational fit for CNS's data engineering and analytics workflows.
  • Develop practical patterns for using AI safely to accelerate SQL development, pipeline generation, documentation, test generation, data quality checks, and troubleshooting.
Healthcare Data Integration & Interoperability
  • Build and maintain secure interfaces and integrations with Michigan CHAMPS (Community Health Automated Medicaid Processing System) for claims submission, eligibility verification, reconciliation, and related Medicaid workflows.
  • Develop APIs and data exchange mechanisms using healthcare standards such as HL7, FHIR, and X12 EDI transactions for claims, remittance, and related processes.
  • Ensure reliable, compliant data exchanges with payers, state systems, county partners, and partner organizations.
  • Collaborate with clinical, billing, quality, finance, and compliance stakeholders to translate business and regulatory requirements into reliable data flows.
Data Security, Compliance & Governance (PHI/PII)
  • Implement and maintain robust data protection controls to safeguard Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Ensure compliance with HIPAA, HITECH, State of Michigan data security requirements, Medicaid requirements, and CNS internal security policies.
  • Apply encryption, tokenization, access controls, audit logging, least-privilege access, secure secret management, and data masking techniques.
  • Partner with compliance, security, and vendor teams on risk assessments, audits, vendor reviews, and AI governance requirements.
  • Ensure sensitive data is not exposed to unapproved AI models, developer tools, repositories, logs, prompts, or third-party services.
Data Architecture & Modeling
  • Design and maintain secure and scalable data models supporting clinical, financial, quality, operational, and executive reporting.
  • Optimize data storage and retrieval across data warehouses, data marts, data lakes, cloud services, and operational databases.
  • Support reporting tools and analytics platforms used for regulatory reporting, CCBHC metrics, quality bonus measures, productivity reporting, and revenue cycle management.
  • Define standards for data models, naming conventions, lineage, metadata, data definitions, and source-to-target mapping.
Infrastructure, Reliability, Backup/DR & Performance Management
  • Manage and optimize data infrastructure across cloud and/or on-premises environments, ensuring reliability, scalability, performance, and cost-effectiveness.
  • Monitor pipelines, integrations, AI-enabled services, and platform components for performance, failures, anomalies, and security events.
  • Troubleshoot issues and implement improvements to enhance system resilience and reduce operational risk.
  • Help design and validate backup, disaster recovery, and high availability approaches for critical data platform components.
  • Support environment separation, including development, test, staging, and production patterns where appropriate.
Collaboration, Documentation & Knowledge Transfer
  • Collaborate with clinical, billing, finance, quality, compliance, IT, vendor, and executive stakeholders to understand data requirements and workflows.
  • Document system architectures, data flows, integration points, AI/LLM configurations, security controls, runbooks, and operational support procedures.
  • Provide technical expertise in healthcare data exchange, compliant AI adoption, and data engineering best practices.
  • Train and mentor members of the data team on platform support, SQL development patterns, pipeline troubleshooting, source control practices, and safe use of AI-enabled development tools.
Required Qualifications
  • Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or related field, or equivalent professional experience.
  • 10 years of experience in data engineering, data architecture, software engineering, analytics engineering, or a related technical role.
  • Strong programming skills in Python, SQL, and/or Java/Scala.
  • Experience with ETL/ELT tools and modern data platforms such as Azure Data Factory, SSIS, Databricks, dbt, Synapse, Fabric, or similar technologies.
  • Knowledge of relational databases, NoSQL databases, data modeling techniques, and data warehouse / data mart design.
  • Experience with source control, release management, deployment practices, and production support for data or software platforms.
  • Ability to create clear technical documentation, runbooks, and support procedures for systems that must be maintained by internal teams.
  • Proficiency with Power BI or similar data analytics application
  • Ability to explain technical issues to technical and nontechnical internal and external stakeholders.

Preferred Education, Skills, and Experience
  • Master's degree in health informatics, computer science, data science or similar

About CNS Healthcare:
CNS Healthcare (CNS) is a non-profit, Certified Community Behavioral Health Clinic (CCBHC) with seven clinics and two clubhouses in Southeastern Michigan. CNS employs approximately 500 employees, paraprofessionals, and support staff, delivering services to more than 7,000 people annually.
  • CNS provides comprehensive integrated health services in partnership with several community organizations, and uses a patient-centered approach to identify, support, and promote the overall health of children, adolescents, adults, and older adults.
  • Visit our website to learn more about our mission, vision, and values!

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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