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Financial Data Engineer Remote Jobs in Chicago, IL

Data Engineer (Remote)

Chicago, IL ยท Remote

$117K - $140K/yr

Our innovative model is unique in the market, backed by financial partners at Distributed Ventures ... Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ...

Senior Data Engineer - Remote

Westmont, IL ยท Remote

$106K - $144K/yr

Responsibilities Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data andReportinginitiatives across the organization. The primary ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... The Principal Data Engineer serves as a senior technical leader responsible for architecting ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... The Principal Data Engineer serves as a senior technical leader responsible for architecting ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL ยท On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... remote flexibility, growth potential, and unparalleled benefits prioritizing your financial ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

Principal Data Engineer

Rosemont, IL ยท On-site +1

$142 - $210/hr

Wintrust provides community and commercial banking, specialty finance and wealth management ... Job location - Rosemont, IL- The position is based in Rosemont, IL, but remote work anywhere in the ...

Sr. Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

... their financial destiny. How do we do it? We provide cutting-edge products and services that ... This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ...

Lead Data Engineer

Chicago, IL ยท On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

Lead Data Engineer

Chicago, IL ยท On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader ...

Lead Data Engineer

Chicago, IL ยท Remote

$105K - $139K/yr

Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in 1898 and headquartered in Chicago, IL, GATX Corporation (NYSE: GATX) is an industry leader with 125 ...

Data Engineer - 332427

Lake Forest, IL ยท Remote

$153K - $174K/yr

Remote About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations ... Grainger Corporate Services LLC is seeking a Data Engineer in Lake Forest, IL with the following ...

Data Engineer - 332427

Lake Forest, IL ยท Remote

$153K - $174K/yr

Remote About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations ... Data Engineer in Lake Forest, IL with the following requirements: Master's degree in Computer ...

Software Engineer Remote (Web3)

Chicago, IL ยท Remote

$200K - $250K/yr

Our client's Blockchain Distribution Network ( BDN ) allows DeFi (Decentralized Finance) traders to ... on the swift data flow within the blockchain distribution network, ensuring the creation of ...

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Showing results 1-20

Financial Data Engineer Remote information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do financial data engineer remote jobs pay per year?

As of Jul 20, 2026, the average yearly pay for financial data engineer remote in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What does a Financial Data Engineer do in a remote role?

A Financial Data Engineer designs, builds, and maintains systems that process and analyze large sets of financial data. Working remotely, they collaborate with teams to develop data pipelines, integrate financial databases, and ensure the reliability of data used for financial analysis and reporting. They often use programming languages like Python or SQL, and work with big data tools to support data-driven decision-making for financial institutions or fintech companies. Their work is crucial to transforming raw financial data into actionable insights.

What are the typical challenges faced by remote Financial Data Engineers when collaborating with cross-functional teams?

Remote Financial Data Engineers often work closely with data analysts, software developers, and business stakeholders across different time zones. One common challenge is ensuring effective communication and alignment on project requirements, especially when dealing with complex financial data pipelines and evolving business needs. Utilizing collaborative tools, maintaining clear documentation, and participating in regular virtual meetings can help bridge gaps and foster productive teamwork. Staying proactive about updates and being responsive to feedback are key to ensuring smooth collaboration in a remote environment.

What engineer makes $500,000 a year?

Senior financial data engineers or those in executive or specialized roles with extensive experience and advanced skills in data architecture, cloud platforms, and programming can earn $500,000 or more annually. Such high salaries are typically found in large organizations, financial firms, or tech companies with competitive compensation packages and performance bonuses.

What engineers make $300,000 a year?

Senior financial data engineers or data architects with extensive experience, advanced skills in data modeling, programming, and cloud platforms can earn $300,000 or more annually. High compensation often involves working in large organizations, with specialized expertise, and sometimes includes bonuses or stock options.

Can I work remotely as a data engineer?

Yes, many data engineering roles, including those for financial data engineers, are available as remote positions. These jobs typically require strong skills in programming, data pipelines, and cloud platforms, and often involve collaboration through online tools. Remote work arrangements depend on the employer's policies and the specific role requirements.

Can I make 200K as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in SQL, Python, and cloud platforms, and working in high-demand industries can potentially earn salaries of $200,000 or more, especially in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some remote positions offering competitive pay at this level.

What are the key skills and qualifications needed to thrive as a Financial Data Engineer in a remote role, and why are they important?

To thrive as a Financial Data Engineer (Remote), you need strong programming skills (such as Python or SQL), experience with data modeling, and a background in finance or quantitative analysis, often supported by a relevant degree. Proficiency with big data platforms (like Hadoop or Spark), ETL tools, and cloud data services (such as AWS or Azure) is typically required, alongside certifications in data engineering or finance. Excellent problem-solving, communication, and time management skills help you collaborate effectively and independently in a distributed environment. These capabilities are crucial for building reliable financial data pipelines, ensuring data quality, and supporting timely, data-driven business decisions.
What are the most commonly searched types of Financial Data Engineer jobs in Chicago, IL? The most popular types of Financial Data Engineer jobs in Chicago, IL are:
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What cities near Chicago, IL are hiring for Financial Data Engineer Remote jobs? Cities near Chicago, IL with the most Financial Data Engineer Remote job openings:

Data Engineer (Remote)

RxSaveCard Inc

Chicago, IL โ€ข Remote

$117K - $140K/yr

Full-time

Retirement

Posted 26 days ago


Job description

About RxSaveCard

RxSaveCard was founded in 2024 with a mission to reduce pharmacy costs for employers and their employees. Our innovative model is unique in the market, and we are building a modern, card-based approach to prescription benefits that simplifies a complicated system. Our innovative model is unique in the market, backed by financial partners at Distributed Ventures and Rock Health.

We are a fast-growing company solving real problemsand we're looking for people who can operate at the intersection of data, operations, and client experience.

Position Overview

This role sits at the foundation of our data platformfocused on building, scaling, and securing the pipelines and systems that power RxSaveCard. This role will start with existing processes that are largely manual and bespoke today, but will play a leading role in the evolution toward more scalable solutions.

You will design and manage data infrastructure that processes large, complex datasets, including prescription (Rx) data from our partners, eligibility files, transaction data, and financial flows. This is highly sensitive healthcare and financial data, where accuracy, reliability, and security are non-negotiable.

This is a role for someone who wants to build systemsnot just handle dataand who takes pride in making data pipelines performant, resilient, and scalable.

Key ResponsibilitiesData Engineering
  • Design, build, and maintain scalable data pipelines for ingesting and processing large datasets (Rx claims, eligibility, transactions, funding data)
  • Develop ETL/ELT processes to transform and normalize data from multiple partner systems
  • Optimize data storage and retrieval for performance, cost, and scalability
  • Ensure high data quality through validation, monitoring, and automated checks
Data Operations & Analysis
  • Build and maintain data infrastructure using modern tools (cloud data warehouses, distributed processing frameworks, etc.)
  • Partner with engineering to integrate data systems into core product workflows
  • Design systems that can scale with rapid growth in data volume and partner integrations
  • Implement observability (logging, monitoring, alerting) for data pipelines
Data Integrity & Security
  • Handle sensitive healthcare (HIPAA) and financial data with strict adherence to security best practices
  • Implement encryption, access controls, and audit logging across data systems
  • Ensure data handling aligns with regulatory and partner requirements
  • Design systems that preserve data integrity and support auditability
Automation & Process Improvement
  • Develop scripts and tools (primarily in Python or similar) to automate workflows
  • Reduce manual processes and improve data reliability and scalability
  • Partner with engineering to productionize solutions when appropriate
  • Anticipate issues and own the resolutions to problems

Project & Workflow Management
  • Own operational workflows and ensure clear ownership of deliverables
  • Own incident response and root cause analysis for data-related issues
  • Track tasks, timelines, and dependencies across multiple workstreams
  • Bring structure and visibility to ambiguous or evolving processes
QualificationsCore Capabilities
  • Exceptional organizational skills with the ability to manage multiple priorities without dropping details
  • Strong written and verbal communication skills with both clients and technical teams
  • Proven ability to operate independently in a fast-moving, ambiguous environment
Data & Technical Skills
  • Advanced proficiency in Excel or Google Sheets (formulas, data manipulation, analysis)
  • Experience working with structured data (CSV files, databases, APIs)
  • Working knowledge of SQL or similar query languages
  • Experience with scripting languages such as Python (preferred), or similar (JavaScript, Bash)
  • Ability to debug data issues and trace problems across systems
Security & Efficiency
  • Demonstrated experience handling sensitive data with a high degree of care and accountability
  • Systems thinker who looks beyond one-off fixes to scalable solutions
  • Bias toward solutions and an iterative approach, without getting bogged down
Nice to Have
  • Prior startup or growth-stage experience is a strong plus
  • Prior experience within startups, security-minded organizations, or HR employee benefits
The Right Culture Fit for This Role
  • Mission-minded to help people and bring solutions to a very challenging and broken industry
  • Scrappy and resilient to thrive in an early-stage company and rise to the challenge of doing new and scary things
  • Intelligence, curiosity, and drive to anticipate problems and turn them into business opportunities
  • Hardworking and responsible, to be a trusted member of our growing team
  • Mindful and balanced to avoid burnout
  • Kindness and camaraderie to add to the culture at RxSaveCard
Why RxSaveCard?
  • Opportunity to join an innovative company at a critical growth stage
  • Competitive salary and benefits package, including insurance and 401k with match
  • Company ownership in the form of equity
  • Remote or hybrid Chicago work flexibility
  • Collaborative and dynamic team environment
  • The chance to make a meaningful impact on healthcare costs for millions of employees
How to Apply

If you're excited about making prescription drugs more affordable and want to be an early employee at a start-up company, we'd love to hear from you! Applicants should submit a cover letter that highlights what they bring to the role beyond what's provided here. If you're referring someone, please mention it in the letter as well. The position requires background screening.