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Senior Data Engineer Jobs in Roscoe, IL (NOW HIRING)

Sr. BI Engineer

Beloit, WI · On-site

$102K - $140K/yr

... Sr. BI Engineer needed to lead small data management team for top retail company ... Responsibilities will include designing and implementing data management workflows, creating data ...

Senior Process Engineer

Beloit, WI · On-site

$101K - $131K/yr

As a Senior Process Engineer at Schreiber Foods, you will play a pivotal role in optimizing our ... Collaborate with Operations Excellence and Data Science/Analytics teams to leverage data for ...

Senior Process Engineer

Beloit, WI · On-site

$101K - $131K/yr

As a Senior Process Engineer at Schreiber Foods, you will play a pivotal role in optimizing our ... Collaborate with Operations Excellence and Data Science/Analytics teams to leverage data for ...

Senior Process Engineer

Beloit, WI

$101K - $131K/yr

As a Senior Process Engineer at Schreiber Foods, you will play a pivotal role in optimizing our ... Data Science/Analytics teams to leverage data for process optimization.Lead or assist in the ...

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Showing results 1-20

Senior Data Engineer information

See Roscoe, IL salary details

$78.9K

$123K

$170.4K

How much do senior data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior data engineer in Roscoe, IL is $123,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $140,200.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

Infographic showing various Senior Data Engineer job openings in Roscoe, IL as of June 2026, with employment types broken down into 2% As Needed, 76% Full Time, 15% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,025 per year, or $59.1 per hour.

Digital Platforms, Senior Data Engineer

PCI Pharma Services

Rockford, IL

$122K - $161K/yr

Full-time

Posted 12 days ago


PCI Pharma Services rating

6.3

Company rating: 6.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

492nd of 545 rated manufacturers


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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