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Remote Data Engineering Jobs in Illinois (NOW HIRING)

IT Labs

Lead Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Collaborate with business stakeholders, analysts, and engineering teams to translate business ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Alpaca

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system ... Our team is 100% distributed and remote. Responsibilities: * Design and oversee key forward- and ...

The Timberline Group

Data Engineer - Direct-Hire

Shiloh, IL · On-site +1

$106K - $128K/yr

Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement. Requirements * Secret clearance is required * Minimum ...

Paychex

Data Solutions Engineer

Chicago, IL · On-site +1

$91K - $156K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required * 7 years of experience in data engineering, software engineering, systems integration, or a related ...

hightower

Senior Data Architect

Chicago, IL · On-site +1

$150K - $175K/yr

Data Engineering & Integration * Collaborate with engineering teams to optimize physical data ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

hightower

Senior Data Architect

Chicago, IL · On-site +1

$150K - $175K/yr

Data Engineering & Integration * Collaborate with engineering teams to optimize physical data ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

Inspire11

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Successful candidates will bring: * 3+ years of experience in data engineering, analytics engineering, or software development. * Proficiency in SQL and Python, with hands-on experience building or ...

NinjaTrader

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ...

Troutman Pepper

Senior Data Engineer

Berwyn, IL · Remote

$107K - $146K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

Platform Engineering & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments. * Instrument pipelines with ...

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Showing results 1-20

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Illinois

Remote Data Engineering information

See Illinois salary details

$43.1K

$125.7K

$172K

How much do remote data engineering jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote data engineering in Illinois is $125,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,200.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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.

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 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. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 Illinois? The most popular types of Data Engineering jobs in Illinois are:
What are popular job titles related to Remote Data Engineering jobs in Illinois? For Remote Data Engineering jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Illinois look for? The top searched job categories for Remote Data Engineering jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Engineering jobs? Cities in Illinois with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Illinois as of July 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $125,698 per year, or $60.4 per hour.
Lead Data Engineer

Lead Data Engineer

IT Labs

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Posted 19 days ago

Job description

About the Role

At IT Labs, we are looking for an experienced Lead Data Engineer to support one of the most innovative companies in the digital health space.

Our client is transforming healthcare through a technology-driven platform that connects employers and patients with leading medical providers, helping reduce costs and improve outcomes. As they continue to scale, they are investing heavily in modernizing their data infrastructure and analytics capabilities.

As a Lead Data Engineer, you will drive the design and evolution of the company\'s data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross-functional teams, you will help deliver reliable, high-quality data that powers business decisions and supports the company\'s growth.
What You\'ll Do

  • Lead the design, development, and optimization of scalable data platforms and pipelines.

  • Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.

  • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.

  • Develop robust integrations with enterprise applications, APIs, and external data providers.

  • Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance.

  • Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.

  • Implement data quality, validation, monitoring, and observability frameworks.

  • Establish and promote best practices for data governance, lineage tracking, metadata management, and security.

  • Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or equivalent.

  • Mentor other engineers and contribute to architectural decisions, technical standards, and engineering best practices.

Ensure data platforms meet performance, reliability, scalability, and regulatory requirements.
Required Skills

  • 7+ years of experience in data engineering within cloud or hybrid environments.

  • Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.

  • Advanced SQL skills and proficiency with data transformation techniques.

  • Strong Python programming skills for data processing and automation.

  • Hands-on experience with Snowflake, including:

    • Data modeling

    • Snowpipe

    • Query optimization

    • Schema design

  • Experience migrating from BigQuery or similar columnar data warehouse technologies.

  • Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.

  • Experience building enterprise-grade API and source-system integrations.

  • Experience implementing data quality and validation frameworks.

  • Good understanding of:

    • Data governance

    • Data lineage

    • Access control and security best practices

  • Strong problem-solving and communication skills.

  • Ability to work effectively in a collaborative, cross-functional environment.

Nice to Have

  • Experience with Databricks, including:

    • Delta Lake

    • Unity Catalog

    • Spark-based pipelines

  • Experience with Spark, Scala, or PySpark.

  • Familiarity with Tableau.

  • Understanding of HIPAA and HITRUST data handling practices.

  • Experience with dbt (data build tool) for transformation layer management.

  • Experience working within healthcare, insurance, or regulated industries.

Working Conditions

  • Full-time, 40h/week

  • US-based — US citizenship is required

  • Remote

  • Contract or B2B arrangement

Our values

We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect.

About IT Labs

Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams around the world - the UK, the Netherlands, Brazil, Argentina, Serbia, Croatia, BIH, Montenegro, North Macedonia, and the Middle East. We are constantly growing, and we would love for you to become part of our team!

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