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

Senior Data Engineer

Three Rivers, MI ยท On-site

$97K - $132K/yr

Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax ... About the Role The Senior Data Engineer will own the path from raw transactional and event data to ...

Senior Data Engineer

Three Rivers, MI

$97K - $132K/yr

Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax ... About the Role The Senior Data Engineer will own the path from raw transactional and event data to ...

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... CAI Benefits: โ€ข Comprehensive Health Insurance coverage โ€ข 24 days of Paid Time Off โ€ข Company ...

... and data engineering practices, and cutting-edge applied AI research. Our work is rooted in ... We are seeking an experienced Property and Casualty (P&C) Insurance Subject Matter Expert to drive ...

Since 1936, we've been the Best Choice in utility engineering and construction. Safety is our top ... Life Insurance * 401(k) Retirement Savings Program * Profit Sharing * Paid Leave Benefits

Principal Engineer

Kalamazoo, MI ยท On-site

$130K - $160K/yr

Dental and vision insurance * Voluntary optional life and accident insurance * Hospital indemnity ... Ability to plan and conduct complex analyses with incomplete data and exercise independent judgment

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

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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 Jun 27, 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 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 cities near Cassopolis, MI are hiring for Insurance Data Engineer jobs? Cities near Cassopolis, MI with the most Insurance Data Engineer job openings:

Senior Data Engineer

BetMGM

Three Rivers, MI โ€ข On-site

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Discover What's Possible at BetMGM
Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business.
As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include:

  • Medical, Dental, Vision, Life, and Disability Insurance

  • 401(k) with company match

  • Pre-tax spending accounts including health care FSA and commuter savings

  • Flexible paid time off

  • Professional development reimbursement and ongoing skills training opportunities

  • Employee resource groups

  • Swag, ticket giveaways, and more!

At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win.

About the Role

The Senior Data Engineer will own the path from raw transactional and event data to trustworthy, well-modeled datasets powering BetMGM's analytics, ML, and operational systems. Builds on an AWS + Snowflake stack - Prefect on ECS Fargate for orchestration, dbt for transformation, Terraform for everything, CI/CD pipelines with quality gates that block bad code. Comfortable directing AI coding agents (Claude Code, Cursor, Copilot, dbt Copilot, Snowflake Cortex Code) as a force multiplier across the engineering workflow - PR review, model authoring, test generation, incident triage. Strong opinions about what belongs in the warehouse vs. the orchestrator vs. the platform, and the seniority to push back when a request shouldn't be built the way it was asked.

Responsibilities

Pipeline & Platform Engineering

  • Design, build, and operate batch, micro-batch, and streaming pipelines feeding Snowflake - Prefect-orchestrated flows on ECS Fargate, dbt for transformation, Snowpipe Streaming and Kafka for event ingestion.

  • Own the full dbt lifecycle (sources staging intermediate marts) with model contracts, freshness SLAs, automated tests, and version-controlled documentation.

  • Stand up Snowflake objects (warehouses, RBAC, resource monitors, Dynamic Tables, Iceberg tables) through Terraform - no ClickOps in production.

AWS Platform Ownership

  • Build AWS-native infrastructure for data workloads - S3, ECS Fargate, Lambda, EMR Serverless, Glue Catalog, IAM, Secrets Manager, VPC endpoints - entirely in Terraform.

  • Maintain CI/CD pipelines (GitLab CI or GitHub Actions) that gate every change with linting, dbt build, unit tests, contract checks, and AI-assisted code review.

Snowflake Depth

  • Tune warehouse sizing, clustering, and query patterns for cost and latency; instrument credit usage via ACCOUNT_USAGE; right-size before scaling up.

  • Design RBAC, masking policies, and row-access policies that satisfy a regulated operator without becoming an access bottleneck.

  • Bring newer Snowflake capabilities to bear - Dynamic Tables, Snowpipe Streaming, Iceberg, Cortex AISQL - when they are the right answer, not because they are new.

Data Quality & Observability

  • Own freshness SLAs and data contracts for the gold layer; configure Monte Carlo coverage for volume, freshness, schema, and distribution; triage incidents end-to-end.

  • Treat the warehouse as a product: every consumer-facing model has tests, documentation, an owner, and a defined SLO.

AI in the Engineering Loop

  • Direct AI coding agents (Claude Code, Cursor, GitHub Copilot, dbt Copilot, Snowflake Cortex Code) as a force multiplier - writing specs, decomposing work, reviewing AI-generated PRs, and owning the architectural decisions agents cannot make.

  • Help the team raise its ceiling on what is possible with AI in the loop, not just its baseline productivity.

Collaboration

  • Partner with analytics engineers, data scientists, and ML platform engineers on shared standards (naming, testing, observability, lineage, cost attribution).

  • Work alongside Entain India and contractor engineering partners; level them up on the standard playbook so the same code review, IaC, and CI/CD norms apply everywhere.

  • Translate stakeholder requests into the right shape - push back when a request should not be built the way it was asked.

Qualifications

  • BS or MS in Computer Science, Statistics, Math, or other STEM field - or equivalent practical experience. Practical experience wins ties.

Must-Haves

  • 5+ years building production data pipelines on a modern stack (Python + SQL + dbt + cloud).

  • Deep Snowflake - beyond SQL into administration: warehouse sizing, RBAC, resource monitors, Streams/Tasks, Dynamic Tables, secure data sharing, cost tuning via ACCOUNT_USAGE.

  • Strong AWS - S3, ECS/Fargate, Lambda, IAM, Secrets Manager, VPC - plus production experience with at least one of EMR Serverless, Glue, or MWAA.

  • Terraform for both cloud and Snowflake - you have owned IaC, not just touched it.

  • Orchestration fluency - Prefect, Airflow, or Dagster - and an opinion about when each is the right tool.

  • CI/CD ownership - you have built quality gates that block bad code, not just YAML pipelines that pass.

  • Bias toward outcomes - you describe past work in terms of SLAs, incidents, and customers served, not tool checklists.

Nice-to-Haves

  • Snowflake-native ML (Snowpark, Cortex AISQL, Snowflake Notebooks) for in-warehouse scoring or unstructured workloads.

  • Iceberg / open-table-format experience for cross-engine interoperability.

  • Streaming experience - Kafka, Snowpipe Streaming, or Kinesis - with stated latency budgets.

  • Reverse-ETL exposure (Hightouch, Census, or custom) into operational marketing or product systems.

  • A demonstrable track record of shipping more with AI in the loop than without - not "I have used Cursor," but "this is how I design work for an agent to do."

  • Regulated-industry experience (gaming, fintech, healthcare) - comfort with audit, lineage, and PII tiering.

The annual salary range for this position is $135,000 to $170,000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan.

Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc.
Gaming Compliance & Licensing Requirements
As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification.
In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives.

About BetMGM
BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms.

BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.
If you need assistance or accommodation with your application due to a disability, you may contact us at recruitment@betmgm.com.

This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time.

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