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

Data Engineer

Chicago, IL · Remote

$118K - $141K/yr

Chicago, IL (100% Remote) Duration: 6-12 Months Rate: DOE We are seeking an experienced Data Engineer with expertise in Alation for a 6-12 month contract. This is a fully remote position, offering an ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/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 ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/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 ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/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 ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/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 ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/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 ...

Data Engineer (Remote)

Chicago, IL · 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 ...

Data Engineer (MedInsight)

Chicago, IL · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Senior Data Engineer (Databricks)

Chicago, IL · Remote

$107K - $147K/yr

Chicago, IL / Remote Job Type: Full-Time Job Summary We are seeking a highly skilled Senior Data Engineer with strong expertise in Databricks, Apache Spark, SQL, and cloud-based ETL pipelines . The ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Data Engineer

Chicago, IL · Remote

$118K - $141K/yr

Required Education • Bachelor's degree in computer programming or a relevant field. Technical Skills • Expert knowledge of logical data modeling and physical data modeling. • Expert knowledge ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

Data Engineer III

Chicago, IL · On-site +1

$112K - $188K/yr

The Data Engineer will report to a Manager of Data Engineering. The Data and Analytics team's primary mission is to develop analytics by centralizing and integrating high-quality, trusted corporate ...

Data Engineer III

Chicago, IL · On-site +1

$112K - $188K/yr

The Data Engineer will report to a Manager of Data Engineering. The Data and Analytics team's primary mission is to develop analytics by centralizing and integrating high-quality, trusted corporate ...

Data Engineer III

Chicago, IL · On-site +1

$112K - $188K/yr

The Data Engineer will report to a Manager of Data Engineering. The Data and Analytics team's primary mission is to develop analytics by centralizing and integrating high-quality, trusted corporate ...

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Showing results 1-20

Remote Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do remote data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote data engineer 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 Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
What are the most commonly searched types of Data Engineer jobs in Chicago, IL? The most popular types of Data Engineer jobs in Chicago, IL are:
What job categories do people searching Remote Data Engineer jobs in Chicago, IL look for? The top searched job categories for Remote Data Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Data Engineer jobs? Cities near Chicago, IL with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.
Data Engineer

$118K - $141K/yr

Other

Posted 5 days ago


Job description

Job Title: Data Engineer - Data Catalog (Alation)
Location: Chicago, IL (100% Remote)
Duration: 6-12 Months
Rate: DOE
Job Description:
We are seeking an experienced Data Engineer with expertise in Alation for a 6-12 month contract. This is a fully remote position, offering an excellent opportunity to work with cutting-edge data governance technologies.
Key Responsibilities:
  • Oversee the day-to-day configuration and maintenance of the Alation data catalog platform.
  • Collaborate with project teams to design, configure, and deploy catalog use cases, ensuring timely and effective delivery.
  • Validate, modify, and update lineage diagrams as needed to maintain accuracy and relevance.
  • Integrate new data sources for metadata acquisition, ensuring seamless connectivity and data flow.
  • Develop custom solutions, including API integrations, custom dashboards, and workflows, to meet specific use case requirements.
  • Troubleshoot and resolve technical issues in collaboration with client teams and vendors.
Required Experience:
  • 5+ years of experience in Data Governance, data catalog, and data stewardship.
  • Hands-on experience with the configuration and maintenance of data catalog tools, particularly Alation (MUST HAVE).
  • Strong understanding of data governance capabilities, including data catalog, data dictionary, business lineage, technical lineage, and stewardship workflows.
  • Proficiency in programming languages such as SQL, HTML, Java, Python, and others.
  • Experience onboarding metadata from various sources, including SQL Server, Oracle, Azure cloud, and more.
  • Familiarity with cloud technologies such as Azure (preferable), Google Cloud, AWS, and Snowflake.
  • Understanding of ETL technologies such as Mulesoft, ADF, Talend, SSIS.
  • Knowledge of data quality practices and their integration with data catalog platforms.
  • Ability to work independently and collaboratively with cross-functional teams and vendors.
  • Strong communication and writing skills.
Why Join Us?
  • Work remotely with a dynamic team on a high-impact project.
  • Engage with advanced data governance tools and methodologies.
  • Competitive hourly rate with a potential for extension.

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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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