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Data Manager Jobs in Niles, IL (NOW HIRING)

Sidley Austin LLP

Data Engineering Manager

Chicago, IL · On-site

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Randstad Digital

Data Engineering Manager

Chicago, IL · On-site

$165K - $185K/yr

Role OverviewThe Data Engineering Manager will lead a team of approximately 7-9 data engineers/consultants supporting the continued delivery of Sidley's enterprise Databricks data platform.The ...

PepsiCo

Data Product Manager

Chicago, IL · On-site

$110K - $185K/yr

Data Product Management is part of the Global Data, Analytics & Ai (D&AI) team. We are tasked with articulation of the vision and leading the implementation of PepsiCo's next generation global Data ...

New

Transunion

Data Product Manager

Chicago, IL · On-site

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

Transunion

Data Product Manager

Chicago, IL · On-site

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$150 - $200/hr

## Manager, Data EngineeringApplylocations: Chicago, Illinoistime type: Full timeposted on: Posted 2 Days Agojob requisition id: R2026-007572The Aspen Group (TAG) is one of the largest and most trusted ...

TransUnion

Data Product Manager

Chicago, IL · On-site

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

Sralab

Manager, Data Analytics

Chicago, IL · On-site

Summary The Manager, Data Analytics will provide data analytics services to help solve business problems, drive value, and gain strategy and insight from information. Use advanced data analysis ...

Sidley

Data Engineering Manager

Chicago, IL · Hybrid

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical ...

Reply

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks ...

Husch Blackwell LLP

Data Engineering Manager

Chicago, IL · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell Llp

Data Engineering Manager

Chicago, IL · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

PepsiCo

Data Product Manager

Chicago, IL · On-site

$110K - $185K/yr

Data Product Management is part of the Global Data, Analytics & Ai (D&AI) team. We are tasked with articulation of the vision and leading the implementation of PepsiCo's next generation global Data ...

TransUnion

Data Product Manager

Chicago, IL · On-site

$125 - $150/hr

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

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Showing results 21-40

All JobsData JobsData Manager JobsData Manager Jobs in Niles, IL

Data Manager information

See Niles, IL salary details

$30.9K

$96.7K

$171.2K

How much do data manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data manager in Niles, IL is $96,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $124,900.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Niles, IL?

The most popular types of Data jobs in Niles, IL are:

What job categories do people searching Data Manager jobs in Niles, IL look for?

The top searched job categories for Data Manager jobs in Niles, IL are:

What cities near Niles, IL are hiring for Data Manager jobs?

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Data Manager jobs near you
Infographic showing various Data Manager job openings in Niles, IL as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $96,690 per year, or $46.5 per hour.

Data Engineering Manager

Sidley Austin LLP

Chicago, IL • On-site

Full-time

Posted 29 days ago

Job description

The Data Engineering Manager will lead a scrum team of data engineers in the design, development, and delivery of Sidley's enterprise Databricks data platform. This role blends hands-on technical leadership with people management, balancing day-to-day engineering execution with longer-term architectural direction. Partnering closely with the Data Architect, analytics, and business teams, the Data Engineering Manager will set technical standards, drive data quality, and ensure the team delivers scalable, reliable, and governed data solutions. This role reports to the Senior Manager of Data Platform & Engineering.
Duties and Responsibilities:
  • Manage, mentor, and develop a scrum team of 5-7 data engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
  • Conduct regular one-on-ones, performance reviews, and career development conversations to support individual growth and team retention.
  • Resolve team impediments and shield engineers from organizational friction so they can focus on delivery.
  • Set and enforce technical direction for the team, including coding standards, design patterns, and engineering best practices across the Databricks data platform.
  • Lead and participate in technical design sessions, translating complex business and data requirements into scalable, well-architected solutions.
  • Drive the design and evolution of the Lakehouse architecture (Bronze/Silver/Gold) on Azure Databricks, including Delta Lake, Apache Spark, and ADLS Gen2.
  • Collaborate with the Data Architect to align platform implementation with enterprise data models, domain definitions, and governance standards.
  • Own and facilitate the code review process, ensuring all production code meets quality, performance, and maintainability standards.
  • Establish and enforce data quality frameworks, including validation, monitoring, alerting, and SLA adherence across pipelines and data products.
  • Oversee the end-to-end design, development, and operation of scalable ETL and streaming data pipelines on Azure Databricks, leveraging PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
  • Drive the development of reusable, metadata-driven ingestion frameworks and modular data transformation patterns.
  • Troubleshoot and resolve complex platform, infrastructure, and pipeline issues, ensuring minimal downtime and optimal performance.

Education and/or Experience:
Required:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • A minimum of 5 years of hands-on experience in data engineering, including designing and building scalable data pipelines and ETL/ELT processes.
  • A minimum of 2 years of experience managing or leading a team of data engineers, including direct people management responsibilities.
  • Strong expertise in Azure Databricks, Delta Lake, Databricks SQL, Apache Spark, Unity Catalog, Databricks Workflows, or similar data platforms.
  • Proficiency with Python and SQL for large-scale data processing.
  • Proven experience with Lakehouse architecture patterns (Bronze/Silver/Gold), schema evolution, and data modeling for analytics and operational workloads.
  • Demonstrated experience driving code reviews, setting engineering standards, and instilling data quality and testing disciplines within a team.
  • Experience with CI/CD pipelines, version control, automated testing, and monitoring in a data engineering context.
  • Hands-on experience with cloud data platforms in Azure, AWS, or GCP, with Azure strongly preferred.
  • Strong communication and stakeholder management skills, with the ability to translate between technical and business contexts.

Preferred:
  • Master's degree in Computer Science, Engineering, or a related field.
  • Experience integrating Azure Databricks with Azure DevOps, ADLS Gen2, and Azure Key Vault.
  • Familiarity with enterprise data modeling, data governance frameworks, and metadata management tools such as Unity Catalog or Collibra.
  • Experience with Infrastructure as Code (IaC) and Governance as Code practices.
  • Familiarity with machine learning workloads and feature engineering in a Lakehouse environment.
  • Experience leading data engineering teams in an agile or scrum delivery model.
  • Industry experience in legal or professional services a plus.

Other Skills and Abilities:
The following will also be required of the successful candidate:
  • Strong organizational and project management skills.
  • Strong attention to detail and commitment to quality.
  • Good judgment and sound decision-making under pressure.
  • Strong interpersonal and communication skills.
  • Able to work harmoniously and effectively with others across technical and business teams.
  • Able to preserve confidentiality and exercise discretion.
  • Able to manage multiple priorities and competing deadlines

#LI-OE1
#LI-Hybrid
Applicants must be authorized to work in the United States without the need for employer sponsorship, now or in the future
The target salary range for this role is:
$165,000 - $185,000 if located in Illinois.
Salaries vary by location and are based on numerous factors, including, but not limited to, the relevant market, skills, experience, and education of the selected candidate. Our compensation package also includes bonus eligibility and a comprehensive benefits program. Benefits information can be found at Sidley.com/Benefits.
To perform this job successfully, an individual must be able to perform the Duties and Responsibilities above satisfactorily and meet the requirements. The requirements listed above are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email sidleytalentacquisition@sidley.com (current employees should contact Human Resources).
Sidley Austin LLP is an Equal Opportunity Employer.

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