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Remote Data Engineering Jobs in Chicago, IL (NOW HIRING)

Data Engineer (Remote)

Chicago, IL ยท Remote

$117K - $140K/yr

Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

AI & Data Systems Engineer (Remote)

Chicago, IL ยท On-site +1

$161K - $173K/yr

This role exists at the intersection of software development, data engineering, and DevOps as someone who is equally comfortable writing application code and managing the infrastructure those systems ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Architect and enforce engineering standards across ingestion, transformation, feature engineering ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Architect and enforce engineering standards across ingestion, transformation, feature engineering ...

Data Modeler

Chicago, IL ยท Remote

$56 - $72.75/hr

Remote (Prefer PST, 2nd Preference CST) USA Experience: Minimum 10+ years As a Senior Data Modeler ... Collaborate with ETL and Data Engineering teams on data ingestion, orchestration, and ...

Data Engineer

Chicago, IL ยท Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Senior Data Architect

Chicago, IL ยท On-site +1

$150K - $175K/yr

Data Engineering & Integration * Collaborate with engineering teams to optimize physical data ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$110K - $150K/yr

Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$110K - $150K/yr

Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Sr. Data Scientist

Chicago, IL ยท Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Collaborate with cross-functional teams, including engineering, data, and business stakeholders ...

Data Engineer

Chicago, IL ยท On-site +1

$118K - $141K/yr

Successful candidates will bring: * 3+ years of experience in data engineering, analytics engineering, or software development. * Proficiency in SQL and Python, with hands-on experience building or ...

Sr. Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Showing results 21-40

Remote Data Engineering information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do remote data engineering jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data engineering 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.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Chicago, IL? The most popular types of Data Engineering jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Data Engineering jobs? Cities near Chicago, IL with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 65% Full Time, and 35% Part Time. Highlights an 100% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer (Remote)

RxSaveCard Inc

Chicago, IL โ€ข Remote

$117K - $140K/yr

Full-time

Retirement

Re-posted 13 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.