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Data Engineer Manager Jobs in Bloomington, IL (NOW HIRING)

Senior Data Engineer

Normal, IL ยท On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics ... Experience with managed ingestion tools such as Fivetran, Airbyte, or similar. * Experience ...

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

... Management * Investigate production data incidents and quality issues. * Perform root cause analysis and identify corrective and preventive actions. * Partner with engineering and operational teams ...

This role requires strong programming skills, the ability to learn complex business processes, and ... Build expertise in inventory management systems, parts management practices, and business processes.

Data & Systems Architecture: * Oversee the optimization and maintenance of cross-functional ... engineer material delivery solutions (dollies, lift tables, GFRs) that align with specific ...

Data & Systems Architecture: * Oversee the optimization and maintenance of cross-functional ... engineer material delivery solutions (dollies, lift tables, GFRs) that align with specific ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Sr. Process Engineer

Normal, IL ยท On-site

$98K - $123K/yr

Review, interpret, and summarize statistical data to drive process improvement * Determine the ... manage labor costs, and drive line balancing * Support production teams through process and ...

Review, interpret, and summarize statistical data to drive process improvement * Determine the ... manage labor costs, and drive line balancing * Support production teams through process and ...

Sr. Process Engineer

Normal, IL ยท On-site

$98K - $123K/yr

Review, interpret, and summarize statistical data to drive process improvement * Determine the ... manage labor costs, and drive line balancing * Support production teams through process and ...

Experience with at least one statistical programming language: SAS, R, and/or Python Other Things ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Experience with at least one statistical programming language: Python, R, or SAS Other Things We ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Experience with at least one statistical programming language: SAS, R, and/or Python Other Things ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

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Data Engineer Manager information

See Bloomington, IL salary details

$42.7K

$124.4K

$170.3K

How much do data engineer manager jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data engineer manager in Bloomington, IL is $124,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,900.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Bloomington, IL? The most popular types of Data Engineer jobs in Bloomington, IL are:
What are popular job titles related to Data Engineer Manager jobs in Bloomington, IL? For Data Engineer Manager jobs in Bloomington, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Bloomington, IL look for? The top searched job categories for Data Engineer Manager jobs in Bloomington, IL are:
What cities near Bloomington, IL are hiring for Data Engineer Manager jobs? Cities near Bloomington, IL with the most Data Engineer Manager job openings:

Senior Data Engineer

1 point system

Normal, IL โ€ข On-site

$103K - $140K/yr

Contractor

Posted 19 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.