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

Remote Data Engineer

Oak Brook, IL · Remote

$115K - $138K/yr

Sr. Data Engineer This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and ...

Remote Data Engineer

Oak Brook, IL · Remote

$115K - $138K/yr

Sr. Data Engineer This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and ...

Senior Data Engineer

West Chicago, IL · Remote

$108K - $147K/yr

Remote; Chicago, IL preferred Job Type: Contract PySpark, Databricks, AWS Redshift, Data Engineering, Large-Scale Data Processing, SQL, ETL/ELT, Data Pipelines, Cloud Data Platforms, Data ...

Senior Data Engineer

West Chicago, IL · Remote

$108K - $147K/yr

Remote; Chicago, IL preferred Job Type: Contract PySpark, Databricks, AWS Redshift, Data Engineering, Large-Scale Data Processing, SQL, ETL/ELT, Data Pipelines, Cloud Data Platforms, Data ...

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 ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They ...

JR DATA ENGINEER

Chicago, IL · Remote

$35 - $40/hr

Client POSITION BI Lahey Health JR DATA ENGINEER LOCATION Remote- Must work 8-5 EST Looking for them to be local to Mass, RI, NH DURATION 5 months through Sept 2025 CTH PAY RATE $35-$40/hour ...

JR DATA ENGINEER

Chicago, IL · Remote

$35 - $40/hr

Client POSITION BI Lahey Health JR DATA ENGINEER LOCATION Remote- Must work 8-5 EST Looking for them to be local to Mass, RI, NH DURATION 5 months through Sept 2025 CTH PAY RATE $35-$40/hour ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives ...

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 ...

Sr. Data Engineer

Chicago, IL · Remote

$118K - $141K/yr

This is a remote opportunity collaborating with teams based in both the United States and Ireland ... The Data Engineer is responsible for designing, developing, and maintaining the infrastructure and ...

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 ...

Sr. Data Engineer

Chicago, IL · Remote

$118K - $141K/yr

This is a remote opportunity collaborating with teams based in both the United States and Ireland ... The Data Engineer is responsible for designing, developing, and maintaining the infrastructure and ...

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 ...

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

Enterprise Data Architect

Chicago, IL · On-site +1

$140K - $180K/yr

Engineering Standards and Automation * Implement source control, peer review, automated testing ... Ensure data platforms and integrations meet firm security policies, client confidentiality ...

Senior Data Engineer (Snowflake)

Chicago, IL · On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help ...

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Showing results 1-20

Remote Data Engineer information

See Naperville, IL salary details

$44.1K

$128.6K

$176K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in Naperville, IL is $128,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Naperville, IL?

The most popular types of Data Engineer jobs in Naperville, IL are:

What are popular job titles related to Remote Data Engineer jobs in Naperville, IL?

For Remote Data Engineer jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Naperville, IL look for?

The top searched job categories for Remote Data Engineer jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Data Engineer jobs?

Cities near Naperville, IL with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Naperville, IL as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,602 per year, or $61.8 per hour.

Remote Data Engineer

1872 Consulting

Oak Brook, IL • Remote

$115K - $138K/yr

Full-time

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


Job description

Sr. Data Engineer

This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and drive innovation and decision-making across our enterprise.

Responsibilities:

  • Build and maintain real-time and batch data pipelines across the advanced analytics platform.
  • Design, develop and orchestrate highly robust and scalable ETL pipelines.
  • Design and implement Dimensional and NoSQL data modeling as per the business requirements.
  • Develop highly optimal codebase and perform Spark optimizations for Big Data use cases.
  • Design, develop and deploy optimal monitoring and testing strategy for the data products.
  • Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions.
  • Collaborate with data scientists to prepare data for model development and production.
  • Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
  • Collaborate with data architects on the enhancement of our enterprise data architecture and platforms.
  • Provide leadership to third-party contractors.
  • Comply with health and safety guidelines and rules.
  • Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.

Requirements:

  • 4+ years of experience in Data Engineering
  • 2+ years of experience with Advanced Analytics or Data Science
  • Proficient in Spark
  • Experience with Azure

Nice to have:

  • Experience with IoT Data Architecture.
  • Machine Learning Operationalization (MLOps) proficiency.
  • Proficiency with streaming design patterns

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014