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Remote Python Data Engineer Jobs in Chicago, IL (NOW HIRING)

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

Responsibilities Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data andReportinginitiatives across the organization. The primary ...

UnitedHealth Group

Senior Data Engineer

Schaumburg, IL · Remote

$91K - $163K/yr

Lead a team of data engineers by providing technical direction, code reviews, and design guidance ... Python/PySpark * Azure (general platform knowledge) * MongoDB * Excellent problem-solving skills ...

APN Consulting Inc

Data Architect (P&C insurance)

Chicago, IL · Remote

$65.75 - $84.50/hr

Madison, WI or Chicago, IL (Remote will work) Type: Contract * Strong experience of implementing ... Hands on experience in SQL, Python with proficiency in Data pipelines, Data engineering, and ...

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Remote Python Data Engineer information

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$23.7K

$144.2K

$208.6K

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

As of Jun 18, 2026, the average yearly pay for remote python data engineer in Chicago, IL is $144,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $169,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python Data Engineer, and why are they important?

To thrive as a Remote Python Data Engineer, you need strong proficiency in Python, data modeling, and ETL pipeline development, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, SQL databases, cloud platforms (such as AWS or GCP), and certifications in data engineering are highly valuable. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills ensure efficient data processing, seamless teamwork across distributed environments, and the reliable delivery of scalable data solutions.

How do Remote Python Data Engineers typically collaborate with distributed teams to ensure smooth project delivery?

Remote Python Data Engineers work closely with cross-functional teams, including data scientists, analysts, and DevOps engineers, often using collaboration tools like Slack, Jira, and GitHub to coordinate work. Regular virtual meetings, clear documentation, and code reviews are essential for maintaining alignment and ensuring code quality. Emphasis is placed on asynchronous communication and well-structured version control practices to overcome time zone differences and keep projects on track. Adapting to these remote workflows is key for successful project delivery in a distributed environment.

What is a Remote Python Data Engineer?

A Remote Python Data Engineer is a professional who specializes in designing, building, and maintaining data pipelines and architectures, primarily using Python, while working from a location outside of a traditional office setting. They are responsible for collecting, transforming, and storing vast amounts of data to support analytics and business intelligence tasks. Their role often involves working with cloud platforms, databases, and big data technologies to ensure efficient data processing and accessibility for other teams. Remote Python Data Engineers collaborate with data scientists, analysts, and developers, leveraging Python's extensive libraries to automate workflows and solve complex data challenges.

What is the difference between Remote Python Data Engineer vs Remote Data Scientist?

AspectRemote Python Data EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in CS, Statistics, Data Science certifications
Work EnvironmentData pipelines, ETL processes, cloud platformsData analysis, modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, marketing agencies
Common Search & ComparisonYesYes

Remote Python Data Engineers focus on building and maintaining data pipelines and infrastructure using Python, while Remote Data Scientists analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within data teams.

What cities near Chicago, IL are hiring for Remote Python Data Engineer jobs? Cities near Chicago, IL with the most Remote Python Data Engineer job openings:
Remote Python Data Engineer jobs near you

Lead Data Engineer - Enterprise Cloud & AI Solutions - AIRLHV

NavitasPartners

Chicago, IL • On-site, Remote

$40/hr

Other

Posted 22 days ago

Job description

Lead Data Engineer - Enterprise Cloud & AI Solutions 

Location: US / Canada (Remote/Hybrid) 
Type: Contract / Full-Time 

Overview: 

We are looking for a Lead Data Engineer to support enterprise-scale cloud data and AI initiatives. This role will focus on delivering high-performance data solutions and enabling AI-driven innovation across business units. 

Key Responsibilities: 

  • Lead the design and deployment of cloud data platforms  
  • Develop scalable data pipelines and optimize performance  
  • Collaborate with architects, data scientists, and engineering teams  

Required Skills: 

  • Strong background in data engineering with tools like Databricks, Snowflake, or BigQuery  
  • Experience with cloud ecosystems (AWS, Azure, GCP)  
  • Hands-on implementation of large-scale data solutions  

Nice to Have: 

  • Experience with ML/AI engineering and MLOps pipelines  
  • Exposure to GenAI, LLMs, or agent-based AI systems  
  • Understanding of AI governance, compliance, and ethical AI practices 

For more details reach at resumes@navitassols.com.

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