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Remote Gcp Data Engineer Jobs in DeKalb, IL (NOW HIRING)

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 ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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Remote Gcp Data Engineer information

See DeKalb, IL salary details

$43.7K

$127.3K

$174.2K

How much do remote gcp data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote gcp data engineer in DeKalb, IL is $127,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

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

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

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

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

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

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

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

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

Senior Data Engineer

3B Staffing LLC

West Chicago, IL • Remote

$108K - $147K/yr

Full-time

Posted 5 days ago


Job description

Senior Data Engineer - PySpark / Databricks / AWS Redshift

Location: 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 Transformation & Performance Optimization; E-commerce/Airlines/Logistics experience preferred.
Job Summary

We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to support data engineering and analytics initiatives. The ideal candidate will have experience building scalable data pipelines and working with large datasets in cloud environments.

Candidates with experience in E-commerce, Airlines, or Logistics are strongly preferred.
Required Skills

  • Strong hands-on experience with PySpark
  • Extensive experience with Databricks
  • Strong experience with AWS Redshift
  • Data engineering and large-scale data processing experience
  • Experience developing and optimizing data pipelines
  • Strong SQL and data transformation skills
  • Experience working with cloud-based data platforms
  • Ability to troubleshoot and optimize data processing workloads

Preferred Experience

  • E-commerce industry experience
  • Airlines industry experience
  • Logistics or transportation industry experience
  • Experience with AWS data services
  • Experience with ETL/ELT and modern data engineering practices