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Manager Data Analytics Engineer Jobs in Naperville, IL

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Develop and maintain data pipelines to extract or ingest new data sources to a data warehouse ...

ANALYTICS ENGINEER What the Job Entails: * Work with internal customers to understand their data ... Develop and maintain data pipelines to extract or ingest new data sources to a data warehouse ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior Analytics Engineer is responsible for building and maintaining the core data workflows ... Design, build, and maintain data pipelines in Databricks using Python and SQL * Manage ingestion ...

Analytics Engineer

Chicago, IL · On-site

$140K - $160K/yr

About the Role As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data ... Manage and optimize data infrastructure for performance, cost, and compliance. * Develop Data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader ... Understanding of data governance, metadata management, and data privacy/compliance standards.

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

Partner with business, analytics, and technology leaders to align priorities. Data Platform ... GCP Professional Data Engineer Certification a plus. * 7+ years of Data Engineering experience with ...

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

Partner with business, analytics, and technology leaders to align priorities. Data Platform ... GCP Professional Data Engineer Certification a plus. * 7+ years of Data Engineering experience with ...

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

Technical Architect - Data, Analytics & AI

Lisle, IL · Hybrid

$62.75 - $80.75/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Technical Architect - Data, Analytics & AI

Joliet, IL · Hybrid

$61.75 - $79.25/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Showing results 21-40

Manager Data Analytics Engineer information

See Naperville, IL salary details

$44.4K

$129.5K

$177.2K

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

As of Aug 9, 2026, the average yearly pay for manager data analytics engineer in Naperville, IL is $129,523.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,300.00 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 are popular job titles related to Manager Data Analytics Engineer jobs in Naperville, IL? For Manager Data Analytics Engineer jobs in Naperville, IL, the most frequently searched job titles are:
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Data Analytics Developer (Remote Eligible)

Mathematica

Chicago, IL • On-site, Remote

$78K - $100K/yr

Full-time

Re-posted 12 days ago


Job description

Data Analytics Developer (Remote Eligible)
About Mathematica:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance.
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking an intellectually curious Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.
Responsibilities:
  • Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creating and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found

Required Qualifications:
  • A bachelor's degree with a strong academic record in computer science, economics, mathematics, statistics, biostatistics, public health, public administration, public policy, sociology, political science, or a related field
  • 1-5 years of programming experience in a professional or academic environment.
  • Programming experience using Python, SQL, SAS, R or Stata, or a similar data engineering or statistical language
  • Experience performing data pipelining or analytics using cloud computing platforms and services, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and/or Databricks is strongly preferred
  • Strong organizational and communication skills, and the ability to work with others.
  • Excellent written and oral communication skills, including an ability to explain technical concepts to a non-technical audience
  • Subject-matter knowledge in healthcare data preferred
  • Has the ability to pass a background investigation or security clearance for federally contracted project work; holding an active Centers for Medicare and Medicaid (CMS) Enterprise User Administration (EUA) ID is desired.

This position offers an anticipated annual base salary range of $78,000 to $100,000. This position may be eligible for a discretionary bonus based on company and individual performance.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (up to three) which best represents your current programming skills, preferably in Python or SQL. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.