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Manager Data Engineering Jobs in Crystal Lake, IL

Grainger Businesses

Mgr, Data Engineering

Lake Forest, IL · On-site +1

$134.10K - $223.50K/yr

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloud-native data engineering vision while developing scalable platforms and reusable tooling. The ...

Grainger Businesses

Mgr, Data Engineering

Lake Forest, IL · On-site

$134.10K - $223.50K/yr

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloud‑native data engineering vision while developing scalable platforms and reusable tooling. The ...

Zoro Tools

Mgr, Data Engineering

Lake Forest, IL · On-site

$134.10K - $223.50K/yr

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloudnative data engineering vision while developing scalable platforms and reusable tooling. The ...

Grainger Businesses

Mgr, Data Engineering

Lake Forest, IL

$134.10K - $223.50K/yr

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloudnative data engineering vision while developing scalable platforms and reusable tooling. The ...

Grainger Businesses

Data Engineer II

Lake Forest, IL · On-site

$95K - $158.40K/yr

You will also collaborate with engineering and analytics teams to drive improvements and prevent future issues. You will report to the Manager, Data Analytics and preferred to be based in either Lake ...

Paylocity

Manager Data Science

Schaumburg, IL · On-site

... Azure (Data Factory, DevOps, etc.) or GCP (BigQuery, Compute Engine. etc.) • Familiar with cloud-based source code management, continuous integration, continuous delivery, and other software ...

BlueCloud

Snowflake Data Engineer

Rolling Meadows, IL · On-site

$115.20K - $138.30K/yr

Use dbt to build and manage ETL processes for ingesting, transforming, and loading data into ... Stay up to date with the latest industry trends and best practices in data engineering and ...

Paylocity

Manager Data Conversion Ops

Schaumburg, IL · On-site

Experience in programming and/or product management. * Minimum of 3 years of experience in Payroll ... Your personal data will be processed for recruitment purposes in accordance with our Notice of ...

Paylocity

Manager Data Conversion Ops

Schaumburg, IL · On-site

Experience in programming and/or product management. * Minimum of 3 years of experience in Payroll ... Your personal data will be processed for recruitment purposes in accordance with our Notice of ...

Paylocity

Manager Data Conversion Ops

Schaumburg, IL · On-site

Experience in programming and/or product management. * Minimum of 3 years of experience in Payroll ... Your personal data will be processed for recruitment purposes in accordance with our Notice of ...

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All JobsManager Data Engineering JobsManager Data Engineering Jobs in Crystal Lake, IL

Manager Data Engineering information

See Crystal Lake, IL salary details

$30.1K

$94.2K

$166.8K

How much do manager data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for manager data engineering in Crystal Lake, IL is $94,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $121,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

How does a Manager of 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 Manager Data Engineering roles and responsibilities?

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.

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 job categories do people searching Manager Data Engineering jobs in Crystal Lake, IL look for? The top searched job categories for Manager Data Engineering jobs in Crystal Lake, IL are:
What cities near Crystal Lake, IL are hiring for Manager Data Engineering jobs? Cities near Crystal Lake, IL with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Mgr, Data Engineering

Mgr, Data Engineering

Grainger Businesses

Lake Forest, IL • On-site, Remote

$134.10K - $223.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Grainger rating

8.2

Company rating: 8.2 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

29th of 335 rated logistics

Job description

Work Location Type: Hybrid
Req Number 327423
About Grainger
W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.
Compensation
The anticipated base pay compensation range for this position is $134,100.00 to $223,500.00.
Rewards and Benefits
With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
  • Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
  • 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
  • 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
  • Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
  • Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

For additional information and details regarding Grainger's benefits, please click on the link below:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.
The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.
Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.
Position Details
The Manager, Data Engineering leads the team in defining and evolving a modern, cloud-native data engineering vision while developing scalable platforms and reusable tooling. The leader mentors and grows data engineers, elevating technical quality, operational rigor, and measurable business impact. The role builds and maintains reliable data platforms and primitives that enable machine learning, analytics, and finance teams to operate independently through consistent patterns, tooling, and observability. The Manager also partners across machine learning, analytics, finance, and broader data engineering groups to align architectures, uphold governance, and deliver production-ready data products that balance flexibility with reliability.
You Will
  • Defines and evolves the data engineering vision by setting modern, cloud-native standards that ensure scalable platforms and reusable tooling, enabling teams to build solutions faster and with greater consistency.
  • Leads, mentors, and grows the data engineering team by developing technical capability and operational rigor, raising engineering quality so the organization delivers more reliable and impactful data outcomes.
  • Builds and maintains core data platforms and primitives in ways that remove friction for machine learning, analytics, and finance partners, ensuring they can access trustworthy, production-ready data when they need it.
  • Establishes reusable patterns, tooling, and observability frameworks that empower practitioners to independently build, operate, and extend robust data and ML pipelines, reducing dependency bottlenecks.
  • Partners with machine learning, analytics, finance, and peer data engineering groups to align architectures and standards, ensuring cohesive roadmaps and clear ownership that accelerate enterprise-wide data progress.
  • Drives well-governed, production-ready data products by balancing flexibility with reliability, enabling measurable business and model impact through high-quality, scalable data assets.

You Have
  • Bachelor's Degree or equivalent experience in Computer Science, Data Engineering, Data Science, Software Engineering, or a related technical field required
  • Master's Degree preferred
  • 5+ years leading data engineering efforts in complex, cross-functional environments supporting ML and analytics workloads required
  • Direct people leadership experience required.
  • Proven ability to lead and stay hands-on building and operating cloud-native data platforms: Airflow (or similar) orchestration, Kafka streaming, and RDBMS foundations (e.g., PostgreSQL).
  • Experience with lakehouse/warehouse solutions (e.g., Databricks/Delta, Snowflake) and production-grade platform practices (CI/CD, monitoring, security).
  • Demonstrated ability to set technical direction and influence architecture beyond your immediate team.
  • Proven commitment to mentoring, upskilling, and building high-leverage engineering teams.
  • Pragmatic mindset: able to balance opinionated defaults with flexibility and build tools that teams want to adopt rather than are forced to use.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace.
We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
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About Grainger

Sourced by ZipRecruiter

Grainger is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. We achieve our purpose, We Keep the World Working®, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. Grainger also delivers services and solutions, such as technical support and inventory management, to save customers time and money. We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Find your way with Grainger today.

Industry

Office administration and facilities support services

Company size

10,000+ Employees

Headquarters location

Lake Forest, IL, US

Year founded

1927

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