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Manager Data Engineering Jobs in Naperville, IL (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Data Engineers

Chicago, IL

$118K - $141K/yr

... Data management, Data engineering, Data modeling. Job Requirements * *Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data ...

Data Engineers

Chicago, IL ยท On-site

$118K - $141K/yr

... Data management, Data engineering, Data modeling. Job Requirements * *Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data ...

Data Engineering Lead (Hybrid)

Chicago, IL ยท Hybrid

$105K - $139K/yr

Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks. This is a hybrid position that ...

Senior Manager, Data & BI Practice

Chicago, IL ยท On-site

$69.25 - $92.75/hr

Typically7+ years of relevant experience in data engineering, business intelligence, analytics, or ... Solid understanding of data management practices, including data governance, data quality, and ...

Data Engineering Lead (Hybrid)

Chicago, IL ยท On-site +1

$105K - $139K/yr

Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks. This is a hybrid position that ...

Data Engineering Lead (Hybrid)

Chicago, IL ยท Hybrid

$105K - $139K/yr

Initially, the Data Engineering Lead will also manage the Data Science team, including acting as a key resource to the team, prioritizing work, and clearing roadblocks. This is a hybrid position that ...

Data Product Manager - Senior

Chicago, IL ยท On-site

$130K - $172K/yr

Data Product Manager Reports To: Head of Data Strategy & Planning Comparable Titles: Senior Data ... Partner with Data Engineering, MDM, Metadata, and Governance teams to ensure data products meet ...

Senior Manager, Data & BI Practice

Chicago, IL ยท On-site

$69.25 - $92.75/hr

Typically 7+ years of relevant experience in data engineering, business intelligence, analytics, or ... Solid understanding of data management practices, including data governance, data quality, and ...

Showing results 21-40

Manager Data Engineering information

See Naperville, IL salary details

$31K

$97K

$171.7K

How much do manager data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for manager data engineering in Naperville, IL is $97,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $125,300.00 per year, depending on experience, location, and employer.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Naperville, IL? The most popular types of Data Engineering jobs in Naperville, IL are:
What are popular job titles related to Manager Data Engineering jobs in Naperville, IL? For Manager Data Engineering jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Naperville, IL look for? The top searched job categories for Manager Data Engineering jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Manager Data Engineering jobs? Cities near Naperville, IL with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Naperville, IL as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $97,000 per year, or $46.6 per hour.

Software Engineer - Data Engineering

Akuna Capital

Chicago, IL โ€ข On-site

$145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market maker - meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models.

Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm's first office in 2011 in the heart of the derivatives industry and the options capital of the world - Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, London and Singapore.

What you'll do as a Software Engineer on the Data Engineering team at Akuna:

We are a data-driven organization, leveraging our data as a key competitive advantage essential to our success. The Akuna Data Engineering team is composed of world-class talent responsible for designing, building, and maintaining the systems, applications, and infrastructure needed to collect, store, process, manage, and query Akuna's data assets. The Akuna Data Engineering team plays a crucial role in ensuring that trustworthy data is available, reliable, and accessible to support various data-driven initiatives within Akuna's Quant, Trading, and Business Operations business units.ย ย ย 

In this role, you will:

  • Work within a growing Data Engineering division supporting the strategic role of data at Akuna
  • Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
  • Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
  • Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark.
  • Mentor junior engineers in software and data engineering best practices
  • Produce clean, well-tested, and documented code with a clear design to support mission critical applications
  • Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA's) pertaining to data quality, data availability and data correctness
  • Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

Qualities that make great candidates:

  • BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
  • 5+ years of professional experience developing software applications
  • Java/Scala experience required - Python experience a significant plus
  • Highly motivated and willing to take ownership of high-impact projects upon arrival
  • Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
  • Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
  • Must possess excellent communication, analytical, and problem-solving skills
  • Demonstrated experience working with diverse data sets and frameworks across multiple domains - financial data experience not required, but a strong plus
  • Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
  • Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
  • The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Please note that level/title will be determined upon the conclusion of the interview process. If you are a current student or recent graduate, please take a look at our Entry Level and Intern positions.

In addition to technical skillsets, Akuna values the unique perspectives people can bring to the table to collaboratively solve complex problems and drive Akuna forward. We want everyone to feel empowered to apply. We welcome your application and encourage you to take the first steps toward your future with us!

In accordance with Illinois Equal Pay Act, the minimum base salary starts at $145,000. Exact compensation offered may vary based on many factors including, but not limited to, the candidate's experience, qualifications, and skill set. This role is also eligible for a discretionary performance bonus as part of the total compensation package and includes a comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits. The minimum base salary herein was determined in good faith by Akuna Capital LLC.