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Manager Data Analytics Engineer Jobs in Peoria, IL

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

Collaborate with Data Scientists, Business Analysts, and Software Engineers. * Implement CI/CD ... pipelines and DevOps best practices for data engineering. * Troubleshoot production issues and ...

Lead Data Scientist

Morton, IL · On-site

$144K - $198K/yr

Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology * Engineer trustworthy data: turn large, messy operational data into ...

Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology * Engineer trustworthy data: turn large, messy operational data into ...

Data Engineer

Peoria, IL · On-site

$97K - $158K/yr

... advanced analytics, telematics, and AI capabilities to help our customers build a better, more ... Performs all programming, project management, and development assignments without close supervision ...

... analytics skills with business and inventory management knowledge. Additional Information: * This ... Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use ...

The main function of a database analyst/programmer is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. A typical ...

Data Engineer

Peoria, IL · On-site

$89K - $144K/yr

Technology, Digital and Data Your Work Shapes the World at Caterpillar Inc. When you join ... Performs all programming, project management, and development assignments without close supervision ...

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Manager Data Analytics Engineer information

See Peoria, IL salary details

$43.7K

$127.3K

$174.2K

How much do manager data analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager data analytics engineer in Peoria, IL is $127,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $134,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What job categories do people searching Manager Data Analytics Engineer jobs in Peoria, IL look for? The top searched job categories for Manager Data Analytics Engineer jobs in Peoria, IL are:
What cities near Peoria, IL are hiring for Manager Data Analytics Engineer jobs? Cities near Peoria, IL with the most Manager Data Analytics Engineer job openings:

Engineering Manager - Data Quality

Caterpillar

Mossville, IL • On-site

$147K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 478 frontline employees who took The Breakroom Quiz

266th of 487 rated machine equipment manufacturers


Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
The Engineering Manager - Data Quality leads a high-performing team responsible for ensuring the accuracy, integrity, consistency, and reliability of enterprise connectivity data across platforms and products. This role combines technical leadership, people management, and data governance ownership to enable high-quality, trusted data that supports analytics, AI/ML models, and business decision-making.
The manager collaborates closely with software engineering, data engineering, analytics, product management, telecom and governance teams to establish scalable data quality frameworks, automated validation pipelines, and compliance-aligned processes across the data lifecycle.
What You Will Do:
  • Lead the data quality strategy for connected asset data across enterprise platforms and products.
  • Establish standard data quality frameworks, rules, and KPIs such as accuracy, completeness, timeliness, and consistency.
  • Design scalable validation, monitoring, and anomaly detection solutions for enterprise data.
  • Embed data quality controls into pipelines, APIs, and platform architecture from the start.
  • Partner with architecture teams to ensure data quality by design in system development.
  • Drive AI/ML adoption for data profiling, anomaly detection, and root cause analysis.
  • Implement automated quality checks within CI/CD and data pipelines to improve efficiency and coverage.
  • Lead and develop a team of data quality engineers and analysts, building strong technical and quality capabilities.
  • Promote a culture of quality, accountability, and continuous improvement through coaching and people leadership.
  • Collaborate across engineering, analytics, product, and platform teams to define requirements, support releases/NPI, resolve defects, and communicate quality health and risks to leadership.

What You Will Have:
  • Bachelor's or master's degree in computer science, Software Engineering, Data Engineering, or related field
  • 8+ years of experience in software/data engineering, with 2-5 years in leadership roles
  • Strong experience in data quality, data governance, and data engineering ecosystems
  • Hands-on experience with data pipelines, ETL/ELT frameworks, and cloud platforms (Azure, AWS, or GCP)
  • Knowledge of data modeling, metadata management, and data lineage tools
  • Experience implementing automated testing and validation frameworks for data systems

Top Candidates Will Also Have:
  • Experience with AI/ML-based data quality monitoring
  • Familiarity with streaming data platforms (Kafka, event-driven architectures)
  • Exposure to regulated environments (industrial, manufacturing, healthcare, finance)
  • Data Quality Strategy
  • AI-Enabled Data Quality & Automation
  • Knowledge of CI/CD pipelines and DevOps for data platforms

Additional Skills:
  • This position requires the candidate to be based in Peoria, ILL.
  • Relocation assistance is available for this position
  • Visa sponsorship is NOT available for this position
  • LI#
  • Posting Dates:7/31-8/14

Summary Pay Range:
$147,760.00 - $240,110.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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