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Insurance Data Engineer Jobs (NOW HIRING)

EXL is seeking a Fabric Analytics Data Engineer to architect and implement data solutions using ... support insurance datasets such as policy, claims, billing, actuarial, and customer information ...

Senior Data Engineer

Memphis, TN ยท On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... raw healthcare, legal, and insurance data into structured intelligence signals used for ...

Senior Data Engineer

Memphis, TN ยท On-site

$103K - $139K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... raw healthcare, legal, and insurance data into structured intelligence signals used for ...

Senior Data Engineer

Memphis, TN

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... raw healthcare, legal, and insurance data into structured intelligence signals used for ...

Senior Data Engineer

Memphis, TN ยท On-site

$95K - $129K/yr

Senior Data Engineer Role Summary The Senior Data Engineer is responsible for designing, building ... raw healthcare, legal, and insurance data into structured intelligence signals used for ...

Data Engineer

Mason, OH ยท On-site

$52 - $57/hr

Data Engineering Tech Lead (7-10+ Years Experience) Role Overview. * We are seeking an experienced ... Experience in Healthcare / Insurance / Data Analytics platforms. * Exposure to real-time streaming ...

About The Role As a Senior Data Engineer, you will play a key role in designing, building, and ... Design data modeling frameworks and best practices for structured and semi-structured insurance ...

Senior Data Architect

Charlotte, NC ยท On-site

$65.75 - $88/hr

Databricks Certified Data Engineer Professional * Azure/AWS Certified Data Architect * Insurance Data Management Association (IDMA) certifications General Description of Available Benefits for ...

Senior Data Architect

Charlotte, NC ยท On-site

$65.75 - $88/hr

Databricks Certified Data Engineer Professional * Azure/AWS Certified Data Architect * Insurance Data Management Association (IDMA) certifications General Description of Available Benefits for ...

Data engineer

Denver, CO ยท On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines and ...

Data Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent experience * 3+ years of Data Engineering experience in the Property & Casualty (P&C) insurance industry.

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How much do insurance data engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for insurance data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.
More about Insurance Data Engineer jobs
What cities are hiring for Insurance Data Engineer jobs? Cities with the most Insurance Data Engineer job openings:
What states have the most Insurance Data Engineer jobs? States with the most job openings for Insurance Data Engineer jobs include:
Infographic showing various Insurance Data Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, 17% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer - Insurance Data Platform

Senior Data Engineer - Insurance Data Platform

CCMSI

Danville, IL โ€ข On-site

$100K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Overview
Senior Data Engineer - Insurance Data Platform
Location: Remote
Schedule: Monday - Friday, 8:00 AM - 4:30 PM CT (additional hours as needed)
Salary Range: $100,000 - $150,000 (commensurate with experience)
Build Your Career With Purpose at CCMSI
At CCMSI, we partner with global clients to solve their most complex risk management challenges, delivering measurable results through advanced technology, collaborative problem-solving, and an unwavering commitment to their success.
We don't just process claims-we support people. As the largest privately-owned Third Party Administrator (TPA), CCMSI delivers customized claim solutions that help our clients protect their employees, assets, and reputations. We are a certified Great Place to Workยฎ, and our employee-owners are empowered to grow, collaborate, and make meaningful contributions every day.
Job Summary
The Senior Data Engineer has a firm grasp of insurance data and serves as the owner and designer of data pipelines which moves claims, policy, billing, medical, and financial data from our core administration systems into our analytics platform, and from there into client-facing reporting, internal dashboards, and ML models.
This is a builder role which architects, writes code, mentors junior engineers, and partners directly with claims operations, actuarial, finance, and CCMSI's client services teams to transform operational data into usable format for decision making.
Accuracy, scalability, and reliability are critical-this data supports client reporting, regulatory filings, and financial decision-making.
Responsibilities
Design, build, and maintain ELT/ETL pipelines moving data from our claims administration system (iCE), policy admin, medical bill review, banking, and third-party vendor feeds into our cloud data warehouse.
Own the data models for core insurance objects - claims, policies, coverages, reserves, payments, recoveries, exposures, units, and loss development triangles - and make sure they hold up under actuarial scrutiny.
Build and maintain integrations with external vendors and partners - medical bill review (MBR), pharmacy benefit managers (PBM), bureau reporting (NCCI, state bureaus, ISO), excess carriers, and client BI environments.
Develop and support the data feeds that drive client loss runs, board reports, and self-insured trust deliverables.
Accuracy here is non-negotiable - these reports go to clients, auditors, and regulators.
Build and maintain data quality monitoring, anomaly detection, and reconciliation processes. If a paid loss number is wrong, we need to know before the client does.
Partner with the actuarial and analytics teams on loss development, IBNR, and trending data structures - including the triangle data that feeds reserve studies.
Support state and federal regulatory reporting data needs (EDI claims reporting, Medicare Section 111)
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Insurance Experience (Non-Negotiable)
  • 5+ years working with insurance data in a carrier, TPA, MGA, broker, or insurance-tech environment.
  • Deep working knowledge of claims data structures - claimants, coverages, reserves (indemnity, medical, expense), payments, recoveries, financial transactions, and the relationship between policy and claim.
  • Experience with at least one major claims administration system
  • Familiarity with workers' compensation and/or general liability claims data specifically - jurisdictional rules, body parts, ICD/CPT codes, NCCI class codes, etc.
  • Comfortable with insurance financial concepts: paid vs incurred, case reserves vs IBNR, loss development, reinsurance recoveries, deductibles, SIRs, and aggregate stop-loss.

Technical
  • 8+ years total professional data engineering experience.
  • Expert SQL - window functions, recursive CTEs, query tuning, execution plans. You should be able to look at a slow query and know where it's going to hurt.
  • Strong Python for data work (pandas, PySpark, SQLAlchemy, plus general-purpose Python - APIs, testing, packaging).
  • Production experience with at least one modern cloud data warehouse (Snowflake, Databricks, BigQuery, Synapse, or Redshift).
  • Solid experience with an orchestration tool
  • Comfortable with one or more ELT tools
  • Experience with cloud infrastructure -Azure preferred. IaC experience (Terraform/Bicep/CloudFormation) a plus.
  • Git, CI/CD, code review as a normal part of how you work.

Other
  • Bachelor's degree in CS, MIS, math, statistics, or equivalent experience. We care more about what you can do than where you went to school.
  • Clear written and verbal communication. You'll be talking to actuaries, claims VPs, and clients - not just other engineers.
  • You can work independently in a remote-first environment without anyone hovering.

Preferred Experience:
  • Direct experience with TPA platforms.
  • Experience with EDI claims reporting (IAIABC formats), Medicare Section 111 reporting, or state-specific filings.
  • Exposure to actuarial reserving software and the data structures they consume.
  • Experience with medical bill review data and PPO/network logic.
  • Streaming/event experience - Kafka, Kinesis, Event Hubs, Debezium.
  • ML/feature-engineering experience supporting predictive models (claim severity, litigation propensity, fraud, return-to-work).
  • Experience with HIPAA, SOC 2, or similar compliance regimes - claims data is regulated, and you should be comfortable working inside those guardrails.
  • Prior TPA, self-insured group, or public entity pool experience.

What Success Looks Like
First 90 Days
  • Gain a strong understanding of CCMSI's core data systems and architecture
  • Deliver at least one meaningful pipeline improvement or enhancement
  • Build relationships with key stakeholders across claims, actuarial, and client services

First 6 Months
  • Own a critical portion of the data platform end-to-end
  • Improve data reliability, quality, or performance for key pipelines
  • Actively mentor junior team members

First Year
  • Recognized as the go-to person on claims/policy data architecture across IT and the business.

  • Delivered on a strategic initiative - modernization, real-time data, or a major new client integration - that you helped scope and lead

Why You'll Love Working Here
  • 4 weeks (Paid time off that accrues throughout the year in accordance with company policy) + 10 paid holidays in your first year
  • Comprehensive benefits: Medical, Dental, Vision, Life, and Disability Insurance
  • Retirement plans: 401(k) and Employee Stock Ownership Plan (ESOP)
  • Career growth: Internal training and advancement opportunities
  • Culture: A supportive, team-based work environment

Compensation & Compliance
The posted salary reflects CCMSI's good-faith estimate in accordance with applicable pay transparency laws. Actual compensation will be based on qualifications, experience, geographic location, and internal equity. This role may also qualify for bonuses or additional forms of pay.
CCMSI offers comprehensive benefits including medical, dental, vision, life, and disability insurance. Paid time off accrues throughout the year in accordance with company policy, with paid holidays and eligibility for retirement programs in accordance with plan documents.
CCMSI posts internal career opportunities in compliance with applicable state and local promotion transparency laws.
Visa Sponsorship: CCMSI does not provide visa sponsorship for this position.
ADA Accommodations: CCMSI is committed to providing reasonable accommodations throughout the application and hiring process.
Equal Opportunity Employer: CCMSI complies with all applicable employment laws, including pay transparency and fair chance hiring regulations.
Background checks, if required for the role, are conducted only after a conditional offer and in accordance with applicable fair chance hiring laws.
Our Core Values
At CCMSI, we believe in doing what's right-for our clients, our coworkers, and ourselves. We look for team members who:
  • Lead with transparency We build trust by being open and listening intently in every interaction.
  • Perform with integrity We choose the right path, even when it is hard.
  • Chase excellence We set the bar high and measure our success. What gets measured gets done.
  • Own the outcome Every employee is an owner, treating every claim, every decision, and every result as our own.
  • Win together Our greatest victories come when our clients succeed.

We don't just work together-we grow together. If that sounds like your kind of workplace, we'd love to meet you.
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