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Financial Data Engineer Jobs in Illinois (NOW HIRING)

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a leading, global financial information services provider, Fitch Group delivers vital credit and ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Principal Data Engineer

Chicago, IL

$118K - $141K/yr

As a leading, global financial information services provider, Fitch Group delivers vital credit and ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Senior Data Engineer ID75059

Irving, IL · On-site +1

$92K - $125K/yr

... financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Data Engineer

Libertyville, IL

$111K - $133K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that ... finance source systems Implementing data-quality tests, data-freshness checks, and monitoring on ...

Senior Data Engineer ID75059

Berwyn, IL · On-site +1

$107K - $146K/yr

... financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... financial resources. We combine cutting-edge technology with world-class personnel to deliver ...

Data Engineer

Lake Forest, IL · On-site

$95K - $158K/yr

Employee discounts, tuition reimbursement, student loan refinancing and free access to financial ... As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Bachelors degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field. 5 to 8+ years of experience within the field of data engineering or ...

Data Engineer II

Chicago, IL

$117K - $141K/yr

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Experience working in gaming, hospitality, financial services, or other data-intensive industries.

Showing results 21-40

Financial Data Engineer information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do financial data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for financial data engineer in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a financial data engineer?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What does a financial data engineer do?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

What are the key skills and qualifications needed to thrive as a financial data engineer?

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

What are the most commonly searched types of Financial Data Engineer jobs in Illinois? The most popular types of Financial Data Engineer jobs in Illinois are:
What job categories do people searching Financial Data Engineer jobs in Illinois look for? The top searched job categories for Financial Data Engineer jobs in Illinois are:
What cities in Illinois are hiring for Financial Data Engineer jobs? Cities in Illinois with the most Financial Data Engineer job openings:
Infographic showing various Financial Data Engineer job openings in Illinois as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.

Senior Data Engineer Insurance Data Platform

CCMSI

Danville, IL • Remote

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

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 Work®, 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.


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)


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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