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

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well ...

The Data Systems Analyst serves as an independent quality function within the Data Engineering ... Partner with engineering and operational teams to prioritize remediation activities. * Track ...

... with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy ...

... and senior leadership. * Manages project scope, expectations, and timelines. * Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.

Sr. Process Engineer

Normal, IL · On-site

$98K - $123K/yr

The Senior Process Engineer position at Rivian will support our Drive Unit production and report to ... Review, interpret, and summarize statistical data to drive process improvement * Determine the ...

Sr. Process Engineer

Normal, IL · On-site

$98K - $123K/yr

The Senior Process Engineer position at Rivian will support our Drive Unit production and report to ... Review, interpret, and summarize statistical data to drive process improvement * Determine the ...

The Senior Process Engineer position at Rivian will support our Drive Unit production and report to ... Review, interpret, and summarize statistical data to drive process improvement * Determine the ...

... Sr. Manager, Driveline Series Engineering. Responsibilities Maintain Product Integrity ... This data includes contact, demographic, communications, educational, professional, employment ...

... Sr. Manager, Driveline Series Engineering. Responsibilities • Maintain Product Integrity • ... Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal ...

... Sr. Manager, Driveline Series Engineering. Responsibilities • Maintain Product Integrity • ... Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal ...

Role Summary The Senior Materials Engineer, Metals will lead material selection, validation, and ... Review and approve supplier technical packages including material data, PPAP-related deliverables ...

Senior Customer Quality Engineer

East Peoria, IL · On-site

$86K - $117K/yr

The Senior Customer Quality Engineer collaborates with cross-functional teams to keep product ... Analyze data, identify trends and facilitate cross functional A3 improvement projects * Direct the ...

The Senior Customer Quality Engineer collaborates with cross-functional teams to keep product ... Analyze data, identify trends and facilitate cross functional A3 improvement projects * Direct the ...

Caterpillar Inc. seeks Sr Engineer-Test/Validation at its facility located at 100 Sanford Street, East Peoria, IL 61611. Enhance development processes, tooling, and machinery to maximize product ...

Role Summary We are seeking a proactive and driven Sr. Quality Engineer to join our rapidly ... Provide real-time data analysis and quality feedback to support fast-paced EV production goals.

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Showing results 1-20

Senior Data Engineer information

See Normal, IL salary details

$79.2K

$123.5K

$171.1K

How much do senior data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior data engineer in Normal, IL is $123,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $140,800.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

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 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 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 are the most commonly searched types of Data Engineer jobs in Normal, IL? The most popular types of Data Engineer jobs in Normal, IL are:
What are popular job titles related to Senior Data Engineer jobs in Normal, IL? For Senior Data Engineer jobs in Normal, IL, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Normal, IL look for? The top searched job categories for Senior Data Engineer jobs in Normal, IL are:
What cities near Normal, IL are hiring for Senior Data Engineer jobs? Cities near Normal, IL with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Normal, IL as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,506 per year, or $59.4 per hour.
Senior Data Engineer

Senior Data Engineer

1 point system

Normal, IL • On-site

$103K - $140K/yr

Contractor

Posted 12 days ago


Job description

Job Description

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.

This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.

Roles and Responsibilities

  • Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
  • Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
  • Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
  • Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
  • Collaborate with analytics engineers and product teams to turn models into highvalue data products powering analytics applications.
  • Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
  • Drive improvements in upstream systems and schemas to reduce data issues at the source.

Required Qualifications

  • 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
  • Strong expertise in SQL and Python for building scalable data pipelines and transformations.
  • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
  • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
  • Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
  • Experience designing and operating production-grade data pipelines with monitoring and observability.
  • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
  • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

Preferred Qualifications

  • Experience working with manufacturing, MES, quality, or operational data.
  • Familiarity with Fivetran connector management and ingestion architecture.
  • Experience with data contracts and schema governance.
  • Experience building semantic layers or governed analytical datasets.
  • Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
  • Experience enabling AI or advanced analytics use cases on top of operational data.
  • Knowledge of streaming or near-real-time data pipelines.