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Data Engineer Jobs in Romeoville, IL (NOW HIRING)

Green Thumb

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

You'll design and maintain the pipelines, infrastructure, and systems that make clean, reliable data possible so that analysts, engineers, and business stakeholders can trust what they're looking at.

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Covista

Data Engineer

Lisle, IL · Hybrid

$74K - $133K/yr

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for ...

Bespoke Labs

Data Engineer

Joliet, IL · On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Aurora, IL · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and the platforms that enable them, at the optimal time through the preferred channel, to empower 100 ...

Bespoke Labs

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Fitch Group

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

Fitch Solutions

Principal Data Engineer

Chicago, IL

$118K - $141K/yr

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Apex Informatics

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Demonstrate strong negotiation skills while working with developers, architects to solution the data needs. 3. Validate the accuracy, integrity and quality of Data developed 4. Support defects triage ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

IT Labs

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

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 ...

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Requirement - Sr. Data Engineer Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote) Contract W2 PURPOSE : The Senior Data Engineer will design, code, test, and analyze software programs ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

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All JobsData Engineer JobsData Engineer Jobs in Romeoville, IL

Data Engineer information

See Romeoville, IL salary details

$45.4K

$132.3K

$181K

How much do data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data engineer in Romeoville, IL is $132,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications 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. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Romeoville, IL? The most popular types of Data Engineer jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Data Engineer jobs? Cities near Romeoville, IL with the most Data Engineer job openings:
Data Engineer jobs near you
Data Engineer

Data Engineer

Green Thumb

Chicago, IL • Hybrid

$118K - $141K/yr

Other

Re-posted 21 days ago

Green Thumb Industries rating

7.2

Company rating: 7.2 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

5th of 31 rated cannabis dispensaries

Job description

The Role 

You'll sit within the Data & Analytics organization, working at the foundation of everything we build with data. You'll design and maintain the pipelines, infrastructure, and systems that make clean, reliable data possible so that analysts, engineers, and business stakeholders can trust what they're looking at. You won't just move data; you'll shape how the company accesses it. 

This is a hybrid role based in Chicago, IL. In office requirement once every 2 weeks at our office in River North. 

Responsibilities 
  • Build, implement, and maintain robust ETL/ELT pipelines that power reliable, timely data delivery across the organization 
  • Ingest, store, process, and analyze large datasets efficiently, ensuring data is always accessible and accurate for downstream consumers 
  • Design and maintain scalable data infrastructure and data models that support efficient storage, retrieval, and transformation 
  • Translate technical and functional requirements into detailed pipeline designs and automation workflows 
  • Prepare raw data into clean, consumable datasets for both technical and non-technical stakeholders 
  • Uphold data accuracy, integrity, privacy, security, and compliance across all systems you touch 
  • Provide limited on-call after-hours critical support on a rotating schedule with the
Qualifications  
  • 2+ years of experience in data engineering, software engineering, or a related field 
  • Proficiency in SQL scripting and advanced database concepts, with hands-on experience working with large datasets 
  • Experience with Python for scripting, automation, and data processing workflows 
  • Familiarity with ETL tools and frameworks such as Fivetran, and experience with Snowflake for data warehousing 
  • Understanding of cloud computing (AWS) and data security best practices 
  • Understanding of CI/CD practices and experience working in Git 
  • A collaborative attitude and the ability to work across teams to solve complex data challenges 
  • Strong critical thinking and problem-solving skills, paired with a genuine curiosity for how data systems work 
  • The ability to work within a team to foster connectedness 
Additional Requirements 
  • Must pass any and all required background checks  
  • Must be and remain compliant with all legal or company regulations for working in the industry  
  • Must be a minimum of 21 years of age 

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