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Entry Level Data Engineer Remote Jobs in Chicago, IL

Cohort AI Inc.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Comfort working in a remote, collaborative environment * Based in the United States (preferred time ...

Grainger Businesses

Senior Data Engineer

Chicago, IL · On-site +1

$112K - $188K/yr

... engineering initiatives including data research and analysis, ETL using Airflow (Astronomer ... Full-time remote candidates are also encouraged to apply. Some travel will be required for team ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

Cimcor, Inc.

Sales Engineer (Remote)

Merrillville, IN · On-site +1

... data, or cause non-compliance with regulations such as PCI, HIPAA, CMMC and many more. CimTrak ... Proven work experience as a Sales Engineer * Proven track record selling complex enterprise ...

Cimcor, Inc.

Sales Engineer (Remote)

Merrillville, IN · Remote

... data, or cause non-compliance with regulations such as PCI, HIPAA, CMMC and many more. CimTrak ... Proven work experience as a Sales Engineer * Proven track record selling complex enterprise ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

Derex Technologies Inc

AI Engineer

Chicago, IL · On-site +1

Chicago, IL - Remote Responsibilities: * As a LLM Full Stack Engineer, you will be responsible for ... Additionally, expert proficiency in Google Cloud Data Services, Database Management, Front-End ...

Derex Technologies, Inc.

AI Engineer

Chicago, IL · On-site +1

Chicago, IL - Remote Responsibilities: * As a LLM Full Stack Engineer, you will be responsible for ... Additionally, expert proficiency in Google Cloud Data Services, Database Management, Front-End ...

Derex Technologies Inc

AI Engineer

Chicago, IL · On-site +1

Chicago, IL - Remote Responsibilities: * As a LLM Full Stack Engineer, you will be responsible for ... Additionally, expert proficiency in Google Cloud Data Services, Database Management, Front-End ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... Develop feature engineering logic using structured and unstructured claims and incident data.

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All JobsData Engineer JobsEntry Level Data Engineer Remote JobsEntry Level Data Engineer Remote Jobs in Chicago, IL

Entry Level Data Engineer Remote information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do entry level data engineer remote jobs pay per year?

As of Aug 4, 2026, the average yearly pay for entry level data engineer remote 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 is an entry level data engineer remote?

An Entry Level Data Engineer (Remote) is a professional who helps build and maintain systems for collecting, storing, and analyzing large sets of data, all while working from a location outside of a traditional office. They typically assist with tasks like setting up data pipelines, cleaning raw data, and supporting data infrastructure. These roles often require basic programming skills in languages such as Python or SQL, familiarity with cloud platforms, and a foundational understanding of databases. Working remotely, they collaborate with teams using digital communication tools to ensure data is accessible and reliable for analysis.

What are some common challenges faced by entry level data engineers working remotely, and how can they overcome them?

Entry-level data engineers working remotely often face challenges such as limited access to immediate mentorship, difficulties in understanding existing data infrastructure, and coordinating effectively with cross-functional teams. Overcoming these challenges involves proactive communication—regularly checking in with team members and asking for clarification when needed. Utilizing collaborative tools, documenting your work thoroughly, and participating in virtual knowledge-sharing sessions can help you stay connected and continue learning in a remote setting.

What are the key skills and qualifications needed to thrive as an entry level data engineer remote?

To thrive as an Entry Level Data Engineer (Remote), you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a relevant degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure), ETL tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with distributed teams. These skills ensure you can efficiently manage data pipelines, maintain data quality, and contribute effectively in a remote work environment.
What are the most commonly searched types of Data Engineer Remote jobs in Chicago, IL? The most popular types of Data Engineer Remote jobs in Chicago, IL are:
Entry Level Data Engineer Remote jobs near you

Associate Data Engineer

Cohort AI Inc.

Naperville, IL • Remote

$114K - $137K/yr

Full-time

Re-posted 5 days ago

Job description

About the Role

We’re looking for an Associate Data Engineer to join our team and help make data reliable, usable, and impactful.

In this role, you’ll work closely with different teams to bring in new datasets, clean and transform them, and make sure they’re ready for analysis. A big part of your work will involve building and maintaining data pipelines, mapping data into standard formats, and ensuring everything runs smoothly behind the scenes.

This is a great opportunity if you’re early in your data engineering career and enjoy working hands-on with data, solving real-world problems, and learning how large-scale data systems operate—especially in the healthcare space.

Responsibilities:

  • Build and maintain data pipelines to ingest, transform, and organize data from multiple sources

  • Work with clinical, claims, or similar structured datasets and map them into standardized data models

  • Run data quality checks to ensure accuracy and consistency

  • Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities

  • Collaborate with cross-functional teams including data, product, and business stakeholders

  • Help maintain ongoing data refresh processes and troubleshoot pipeline issues when needed

Needed:

  • Bachelor’s degree in Computer Science or a related field (or equivalent hands-on experience)

  • Strong working knowledge of SQL

  • Familiarity with Python, PySpark, or SparkSQL

  • Experience with modern data platforms like Databricks, Snowflake, or BigQuery

  • Comfort working in a remote, collaborative environment

  • Based in the United States (preferred time zones: Central, Mountain, or Pacific)

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