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Data Engineer Jobs in DeKalb, IL (NOW HIRING)

About Edged Data Centers Edged is a fast-growing provider of sustainable data centers and energy ... Bachelor's Degree in Engineering (Mechanical/Electrical) Skills * Leadership and people management ...

Partner with the Analytics Liaisons, Data Engineers, Strategists, and Account Leaders to ensure all requirements are met for each campaign, and all necessary details are communicated across these ...

Manufacturing Engineer

Bartlett, IL · On-site

$60 - $65/hr

Analyze production and downtime data to identify opportunities for operational improvements ... Ensure engineering changes are properly documented and communicated to relevant stakeholders.

Quality Engineer

Batavia, IL · On-site

$75K - $85K/yr

Record data, test results, and observations, and communicate findings to Quality and Engineering teams. * Assist in updating inspection documentation, testing procedures, and quality forms when ...

Record data, test results, and observations, and communicate findings to Quality and Engineering teams. * Assist in updating inspection documentation, testing procedures, and quality forms when ...

Quality Engineer

Batavia, IL · On-site

$75K - $85K/yr

Record data, test results, and observations, and communicate findings to Quality and Engineering teams. * Assist in updating inspection documentation, testing procedures, and quality forms when ...

Manufacturing Engineer

Elgin, IL · On-site

$60 - $65/hr

Analyze production and downtime data to identify opportunities for operational improvements ... Ensure engineering changes are properly documented and communicated to relevant stakeholders.

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Showing results 1-20

Data Engineer information

See DeKalb, IL salary details

$43.7K

$127.3K

$174.2K

How much do data engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data engineer in DeKalb, IL is $127,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in DeKalb, IL?

The most popular types of Data Engineer jobs in DeKalb, IL are:

What are popular job titles related to Data Engineer jobs in DeKalb, IL?

For Data Engineer jobs in DeKalb, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in DeKalb, IL look for?

The top searched job categories for Data Engineer jobs in DeKalb, IL are:

What cities near DeKalb, IL are hiring for Data Engineer jobs?

Cities near DeKalb, IL with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in DeKalb, IL as of August 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $127,316 per year, or $61.2 per hour.

Digital Platforms, Senior Data Engineer

Rockford, IL • On-site


PCI Pharma Services

6.3

Company rating: 6.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

492nd of 545 rated manufacturers

Paid breaks

Respectful managers

Uninterrupted breaks


$122K - $161K/yr

Full-time

Posted 13 days ago


Job description

Life changing therapies. Global impact. Bridge to thousands of biopharma companies and their patients.


We are PCI.


Our investment is in People who make an impact, drive progress and create a better tomorrow. Our strategy includes building teams across our global network to pioneer and shape the future of PCI.

Summary:
The Senior Data Engineer (Databricks Platform) is a senior individual contributor responsible for the hands-on design, development, optimization, and operational support of the enterprise data platform built on Databricks and AWS technologies. This role ensures scalable, secure, and high-performance data pipelines, models, and integrations that power analytics, reporting, and advanced AI/ML use cases across the organization.

The role brings deep expertise in distributed data processing, Delta Lake architecture, data modeling, ETL/ELT frameworks, and cloud environments (AWS). This role focuses on execution excellence, platform reliability, and technical problem resolution, while collaborating closely with Data Platform Lead, Product, Project Management, Testing, Customer Success, and external development partners.

Responsibilities:

Data Platform Engineering

  • Design, develop, and maintain scalable data pipelines using Databricks (Spark / Delta Lake).
  • Build robust ETL/ELT workflows leveraging PySpark and Databricks SQL.
  • Implement and support medallion architecture (Bronze, Silver, Gold layers).
  • Design and maintain efficient data models, including 3NF, star schema, and canonical models, as appropriate.
  • Support and maintain Data Catalog and Data Governance frameworks to ensure data quality and compliance.
  • Build and maintain CI/CD pipelines to enable reliable deployment across environments.
  • Collaborate with external partners for development activities and ongoing production support.

Cloud & AWS Environment Support

  • Demonstrate hands-on experience with AWS Glue, S3, and Lambda.
  • Provide operational support for AWS-hosted infrastructure, including application services, data services, and system integrations.
  • Monitor cloud environments for availability, performance, security, and cost efficiency; escalate risks and issues to the Technical Lead when required.
  • Support deployment activities and ensure environment readiness in collaboration with DevOps and technical stakeholders.
  • Contribute to cloud operational best practices focused on scalability, resilience, security, and incident response.

Testing Support

  • Partner with Testing and QA teams to support User Acceptance Testing (UAT) and validation activities by:
  • Reviewing test cases for technical accuracy and risk coverage
  • Triaging defects identified during testing cycles
  • Ensuring test environment readiness and stability
  • Provide technical input during release readiness discussions and risk evaluations.

Cross-Functional Collaboration

  • Collaborate closely with Product Managers, Project Managers, QA, DevOps, and external development partners to ensure successful solution delivery and ongoing platform stability.
  • Translate business and operational requirements into scalable technical solutions aligned with approved architecture and enterprise standards.
  • Support secure and reliable integration with internal enterprise systems and data sources.

Compliance & Operational Expectations

  • Ensure adherence to all applicable PCI, cGMP, GCP, and regulatory policies.
  • Participate in occasional overtime and/or weekend work as required to support critical releases or production needs.
  • Maintain consistent attendance and reliable availability as essential functions of the role.
  • Perform additional duties as assigned by the Data Platform Technical Lead or management.

Join us and be part of building the bridge between life changing therapies and patients. Let's talk future

Equal Employment Opportunity (EEO) Statement:
PCI Pharma Services is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.

At PCI, Equity and Inclusion are at the core of our company's purpose: Together, delivering life-changing therapies. We are committed to cultivating an inclusive workplace by holding ourselves accountable to the highest standards of understanding, fairness, respect, and equal opportunity - at every level. We envision a PCI community where everyone can belong and grow, and we strive to bring this vision to reality by continuously and intentionally assessing our people practices, policies and programs, marketing approach, and workplace culture.


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