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

Claritev

Data Engineer (remote)

Naperville, IL · Remote

$114.40K - $137.40K/yr

This role will be part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. Primary responsibility will be to work closely with the Data ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141.60K/yr

Ensure data quality, reliability, and usability across the analytics platform Engineering Best ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

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 ...

Amtrak

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL · On-site +1

$126.20K - $166.30K/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 ...

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Remote Data Engineering information

See Bolingbrook, IL salary details

$44K

$128.3K

$175.5K

How much do remote data engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for remote data engineering in Bolingbrook, IL is $128,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 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 Bolingbrook, IL? The most popular types of Data Engineering jobs in Bolingbrook, IL are:
What are popular job titles related to Remote Data Engineering jobs in Bolingbrook, IL? For Remote Data Engineering jobs in Bolingbrook, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Bolingbrook, IL look for? The top searched job categories for Remote Data Engineering jobs in Bolingbrook, IL are:
What cities near Bolingbrook, IL are hiring for Remote Data Engineering jobs? Cities near Bolingbrook, IL with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you

Data Engineering Manager (remote)

Claritev

Naperville, IL • On-site, Remote

Full-time

Posted 10 days ago

Job description

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we striveto bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY:

This role will be part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. Primary responsibility will be to work closely with the Data Engineering team, Data Architects and AI Team to implement data solutions for the organization using Python, PySpark and other big data solutions, creating technical specification documents and test plans. Also provide support for the data solutions across the enterprise.

JOB ROLES AND RESPONSIBILITIES:

  • Understand business processes and how they are modeled in various systems
  • Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
  • Design and Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
  • Maintain scalable data pipelines to support continuing increases in data volume and complexity.
  • Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure
  • Managing and improving the performance of our database, queries, tools, and solutions
  • Creating and maintaining data warehouse, data lakes, databases, tables, SQL queries, and ingestion pipelines, predictive models, and downstream analysis
  • Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
  • Prepare data for predictive and prescriptive modeling
  • Identify and analyze data patterns
  • Identify ways to improve data reliability, efficiency and quality
  • Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
  • Collaborate, coordinate, and communicate across disciplines and departments.
  • Ensure compliance with HIPAA regulations and requirements.
  • Demonstrate Company's Core Competencies and values held within.
  • Please note due to the exposure of PHI sensitive data - this role is considered to be a High Risk and privileged role.
  • The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

JOB SCOPE:

The incumbent works independently and relies on judgment and experience to complete job responsibilities. The incumbent possesses an extensive range of knowledge of practices and procedures within the field and acts a resource for less experienced team members. Work is varied and complex.

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