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Sr 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 ...

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 ...

... 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 and Technology Rivian may collect, use and disclose your personal ...

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

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Excellent analytical skills with the ability to interpret data and drive data-driven decisions.

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Excellent analytical skills with the ability to interpret data and drive data-driven decisions.

The Sr. QMS Engineer will be responsible for updating and authoring quality standards, coaching our ... Excellent analytical skills with the ability to interpret data and drive data-driven decisions.

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 ...

We are seeking a Senior MDM ETL Test Engineer with strong experience in Master Data Management (MDM), ETL testing, and data validation. The ideal candidate will be responsible for validating MDM and ...

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Sr Data Engineer information

See Normal, IL salary details

$79.2K

$123.5K

$171.1K

How much do sr data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for sr 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 is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

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

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

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

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

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

Infographic showing various Sr Data Engineer job openings in Normal, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,506 per year, or $59.4 per hour.

Senior Data Engineer

1 point system

Normal, IL • On-site

$103K - $140K/yr

Contractor

Re-posted 2 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.