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Data Engineer Jobs in Romeoville, IL (NOW HIRING)

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago ...

New

Covista

Data Engineer

Lisle, IL · On-site

$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 ...

Covista

Data Engineer

Lisle, IL · Hybrid

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 ...

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 ...

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

$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

$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 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 ...

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 · On-site

$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

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 ...

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 ...

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 ...

Bespoke Labs

Data Engineer

Chicago, IL

$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 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 · 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 ...

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 · 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 ...

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Showing results 41-60

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 Aug 7, 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.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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 are popular job titles related to Data Engineer jobs in Romeoville, IL? For Data Engineer jobs in Romeoville, IL, the most frequently searched job titles 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
Infographic showing various Data Engineer job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,260 per year, or $63.6 per hour.

Lead Data Engineer

Hinshaw & Culbertson

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Posted 3 days ago

New

Job description

Lead Data Engineer
Firm Overview
Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago, the firm provides sophisticated legal counsel to clients in highly regulated industries, including insurance, financial services, healthcare, and professional services, as well as to government agencies, educational institutions, and nonprofit organizations. Learn more at hinshawlaw.com.
Job Summary
The Lead Data Engineer is a hands-on technical leader responsible for designing, building, and operating enterprise-grade data integration and analytics platforms across the firm. This role owns core data pipelines, data models, and production data operations, and establishes engineering standards that improve reliability, data quality, and delivery speed. The Lead Data Engineer partners closely with IT, Information Security, Information Governance, Finance, Knowledge Management, Marketing/Business Development, and practice groups to reduce data silos, clarify data ownership, and deliver trustworthy data for reporting, analytics, and emerging AI initiatives.
Essential Job Functions
  • Enterprise Data Integration & Pipelines: Design, build, and maintain robust ETL/ELT pipelines that integrate data from core firm systems (finance, HR, CRM, document management, and other enterprise platforms). Ensure data is delivered accurately, securely, and on schedule.
  • Data Architecture & Modeling: Define and enforce data architecture standards, including data models, schemas, and storage patterns for cloud-based data warehouse and lakehouse platforms. Optimize for performance, scalability, and analytical use.
  • Cloud Data Platform Management: Lead the implementation and operation of Microsoft Azure-based data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. Manage development, test, and production environments with focus on cost efficiency and reliability.
  • Own the firm's enterprise data warehouse and lakehouse platforms, including data models, ingestion pipelines, performance, reliability, and ongoing operational health."
  • DevOps / DataOps Practices: Implement source control, branching strategies, CI/CD pipelines, automated testing, deployment workflows, monitoring, and alerting for data pipelines and related code.
  • Production Data Operations: Oversee scheduling, execution, reconciliation, and monitoring of production data workflows. Proactively identify and resolve failures, data quality issues, and performance bottlenecks before they impact reporting or operations.
  • Data Governance & Quality: Partner with Information Governance and Security teams to implement data quality standards, lineage documentation, reconciliation processes, and stewardship models. Help define and enforce "source of truth" ownership for critical datasets.
  • Cross-Functional Collaboration: Work with business stakeholders to translate requirements into technical solutions and communicate complex data concepts in clear, non-technical terms. Ensure solutions align with firm strategy and operational priorities.
  • Security & Compliance: Ensure data integration and storage solutions comply with firm security policies, client confidentiality requirements, and applicable regulatory obligations. Implement access controls, encryption, and auditing where appropriate.
  • Innovation & Continuous Improvement: Evaluate emerging data, analytics, and AI capabilities and lead proof-of-concepts that improve reliability, usability, and business value.
  • Technical Leadership & Mentorship: Provide design guidance, code reviews, and technical coaching to junior engineers or database professionals as applicable. Establish repeatable patterns and standards.
  • Project & Vendor Management: Lead data-focused projects from initiation through delivery, coordinating internal teams and external vendors/consultants. Ensure knowledge transfer and long-term sustainability.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 8+ years of hands-on experience in data engineering, ETL/ELT development, and data integration.
  • 3+ years of experience designing and operating cloud-based data platforms (Microsoft Azure preferred).
  • Strong MS SQL skills and experience with relational database design, development, and performance tuning (SQL Server preferred).
  • Experience building reliable production data pipelines, including monitoring, alerting, and reconciliation.
  • Experience with source control and deployment practices for data workflows (e.g., Git and CI/CD pipelines).
  • Excellent written and verbal communication skills, including ability to explain technical concepts to non-technical audiences.
  • Ability to handle sensitive and confidential information with discretion and professionalism.
  • Availability for occasional after-hours work for major releases or production incidents.

Preferred Skills
  • Advanced experience with Azure data services (ADLS, Databricks, Azure Data Factory, Synapse).
  • Experience implementing enterprise data warehouses, data marts, and lakehouse architectures.
  • Experience with data integration tools such as Azure Data Factory, Talend, Boomi, or similar platforms.
  • Strong scripting and programming skills (Python, PowerShell, and/or .NET/C#) for data processing and custom integrations.
  • Familiarity with business intelligence and analytics tools such as Power BI or Tableau.
  • Experience with data governance frameworks, data quality controls, data cataloging, and lineage documentation.
  • Experience in a law firm or professional services environment is a plus, including familiarity with systems such as Elite 3E, Aderant, iManage, NetDocuments, Intapp/InterAction, or similar platforms.
  • Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.

Why Join Hinshaw?
At Hinshaw, we foster a collaborative and inclusive work culture. We offer competitive compensation, a comprehensive benefits program, and opportunities to work on enterprise-scale technology initiatives that directly support the firm's strategic objectives. The Lead Data Engineer will play a critical role in shaping the firm's data foundation and enabling analytics, reporting, and innovation across the organization.
Equal Opportunity Statement
Hinshaw & Culbertson LLP is an Equal Opportunity Employer. The firm is committed to providing equal employment opportunities and reasonable accommodations to qualified individuals with disabilities.

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