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

Argyle Infotech

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and ...

Omega Solutions Inc

Senior Data Engineer Role

Schaumburg, IL · On-site +1

$104.50K - $141.90K/yr

The right candidate will have a solid background in data engineering and should have a few years of ... other please specify i.e. remote work, rural, etc.) Remote work or 1600 McConnor Parkway ...

RIT Solutions

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and ...

Voluble Systems LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and ...

Software Technology Inc

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and ...

Voluble Systems LLC

Data Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Location: 100% Remote Duration: Contract - 4 month project No OT: Only seeking candidates on a ... Bachelor's degree in computer science, data science, software engineering, information systems, or ...

RxSaveCard Inc

Data Engineer (Remote)

Chicago, IL · Remote

$117.20K - $140.70K/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 ...

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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 May 28, 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.

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.

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.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 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. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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 May 2026, with employment types broken down into 1% Internship, 2% As Needed, 82% Full Time, 11% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Senior Data Engineer

RIT Solutions Inc/ Tech Dev IT/ Texperts Inc/ConceptsIT, Inc.

Chicago, IL • On-site, Remote

$109.30K - $148.50K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Engineer
Chicago, IL Onsite Need Local
Job Description
Senior Data Engineer
We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data solutions focused on Data Centralization, Governance, and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery, Dataflow, Dataproc) to build automated, cost-efficient, and complex data pipelines. The ideal candidate will be a technical leader, making key architectural decisions, implementing robust data frameworks, and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.
Key Requirements
  • Experience & Education:
    • 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
    • Bachelor of Science in Information Technology, Computer Science, or a related technical field.
  • Cloud & Pipeline Expertise (Required):
    • Proficiency with GCP (Google Cloud Platform) offering is required
    • Expertise in designing and building large-scale, automated data pipelines using GCP native services (e.g., BigQuery, Dataflow, Dataproc).
    • Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
  • Database & Coding Skills:
    • 4-5 years minimum experience with relational databases ( MS-SQL, Postgres, or Oracle).
    • 3-4 years of experience with NoSQL databases ( Capella or MongoDB).
    • 2-3 years of experience with Python or a similar language.
    • Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
  • Architecture & Governance:
    • Proven ability to make key architectural decisions related to data modeling, storage, and real-time processing.
    • Experience assisting with data governance, quality, and lineage practices using tools like Data Catalog, DLP, or Cloud Audit Logs.
    • Experience translating business requirements into technical design documents.
  • Work Schedule & Location:
    • Full-time onsite commitment required (Monday-Friday, 8a-5p), with remote flexibility for Fridays pending manager approval.
  • Desired Experience (Bonus):
    • Experience in the logistics or transportation industry (1-3 years).
    • Proven ability to mentor junior engineers and provide technical guidance.
    • Experience with monitoring and optimizing GCP resources for cost management.

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