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

1 point system

Data Engineer

Chicago, IL · 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 ...

Paychex

Data Solutions Engineer

Chicago, IL · On-site +1

$91K - $156K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required * 7 years of experience in data engineering, software engineering, systems integration, or a related ...

hightower

Senior Data Architect

Chicago, IL · 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 ...

hightower

Senior Data Architect

Chicago, IL · 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 ...

NinjaTrader

Sr. Data Engineer

Chicago, IL · 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 ...

Inspire11

Data Engineer

Chicago, IL · 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 ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ...

Troutman Pepper

Senior Data Engineer

Berwyn, IL · Remote

$107K - $146K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Troutman Pepper

Senior Data Engineer

Chicago, IL · Remote

$109K - $148K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Resource Innovations

Energy Engineer

Chicago, IL · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... engineering logic using structured and unstructured claims and incident data. • Apply NLP and ...

Resource Innovations

Energy Engineer

Chicago, IL · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... engineering logic using structured and unstructured claims and incident data. • Apply NLP and ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Chicago, IL

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 Jul 17, 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.

Can I work remotely as a data engineer?

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

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, and why are they important?

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 are popular job titles related to Remote Data Engineering jobs in Chicago, IL? For Remote Data Engineering jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Chicago, IL look for? The top searched job categories for Remote 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:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Chicago, IL as of July 2026, with employment types broken down into 74% Full Time, 15% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.
Data Engineer

Data Engineer

1 point system

Chicago, IL • Remote

$117K - $140K/yr

Contractor

Re-posted 19 days ago

Job description

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 with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM, networking).
A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space.
Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm.
Expertise in SQL, Python, data modeling, and distributed processing.
Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.).
Strong communication skills and the ability to translate complex technical concepts into solutions that deliver business