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

Refinere

Python Data Wrangler Internship

Texas, IL · On-site +1

$49.75 - $68.50/hr

These projects will entail iterative programming aspects that shed light on data quality ... Can be in office, remote, or hybrid* Employment Type: INTERN

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Remote Data Engineering information

See Normal, IL salary details

$43.5K

$126.8K

$173.5K

How much do remote data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineering in Normal, IL is $126,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $134,400.00 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 popular job titles related to Remote Data Engineering jobs in Normal, IL? For Remote Data Engineering jobs in Normal, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Normal, IL look for? The top searched job categories for Remote Data Engineering jobs in Normal, IL are:
What cities near Normal, IL are hiring for Remote Data Engineering jobs? Cities near Normal, IL with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Normal, IL as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,819 per year, or $61 per hour.
Python Data Wrangler Internship

Python Data Wrangler Internship

Refinere

Texas, IL • On-site, Remote

$49.75 - $68.50/hr

Other

Posted 7 days ago

Job description

RefineRE is seeking a Python intern to work closely with the product team on various projects to ensure integrity of data quality. These projects will entail iterative programming aspects that shed light on data quality, consistency, and usability. Ideal candidates will possess strong problem solving and intermediate python skills.


Requirements:

  • Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field.
  • 2 or more years of educational experience with statistical programming languages (such as Python or R).
  • Familiarity with Jupyter notebooks or other Python IDE's.
  • Ability to do basic tasks in Python or R to
    • Create loops for iterating over rows and columns in a data frame,
    • Transform data based on logical conditions,
    • Keep well-documented code while producing project deliverables on time,
    • Develop reusable, efficient, testable, and scalable code.

Nice to have:

  • Experience with SQL, API's, GCP and/or Tableau.


*Can be in office, remote, or hybrid*

Employment Type: INTERN

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