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Data Processing Manager Jobs in Chicago Ridge, IL

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 ... Own and facilitate the code review process, ensuring all production code meets quality, performance ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

Other information: • Bachelor's Degree. • 5 years of experience. • Strong background in cloud computing, software engineering and data processing. • Data management experience. • Experience ...

Sidley

Data Engineering Manager

Chicago, IL · Hybrid

The Data Engineering Manager will lead a scrum team of data engineers in the design, development ... Own and facilitate the code review process, ensuring all production code meets quality, performance ...

ASB Solutions

GCP Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... Manager, Stackdriver. \n \n \n Extensive experience in GCP PaaS such as Cloud Endpoints, Dataflow ... processing algorithms (MapReduce, Flume) \n \n \n \n \n \n \n

Prophecy Technologies

Azure Data Analyst

Chicago, IL · On-site

Create and optimize SQL-based data transformation processes.Support real-time and batch data ... Data Governance & QualityEnsure data quality| lineage| metadata management| and governance ...

Stellar IT Group

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Skilled in data processing using Databricks or Jupyter Notebooks. * SQL : Proficient in complex data manipulation and retrieval. * AWS (S3) : Experience consuming and managing data in cloud storage.

ADDSOURCE

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

... and environment management. * Experience building cloud native, scalable, and highly available systems. * Solid understanding of data stores (SQL, NoSQL) and data processing architectures.

Clarus

Sr Manager, Data Engineering

Chicago, IL · On-site +1

Establish robust data quality frameworks, monitoring, SLAs, and operational support processes ... Experience developing and implementing Master Data Management (MDM) solutions and enterprise data ...

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Set technical direction for large-scale data processing solutions using Scala, Spark, SQL, and ... Implement encryption, key management, and secure data handling using cloud-native services.

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Set technical direction for large-scale data processing solutions using Scala, Spark, SQL, and ... Implement encryption, key management, and secure data handling using cloud-native services.

IMC

Data Engineer

Chicago, IL

$118K - $141K/yr

Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate ... Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie

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Showing results 21-40

All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Chicago Ridge, IL

Data Processing Manager information

See Chicago Ridge, IL salary details

$35.2K

$53.6K

$69.9K

How much do data processing manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data processing manager in Chicago Ridge, IL is $53,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,400.00 and $63,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

What cities near Chicago Ridge, IL are hiring for Data Processing Manager jobs?

Cities near Chicago Ridge, IL with the most Data Processing Manager job openings:

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Chicago Ridge, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $53,552 per year, or $25.7 per hour.

Data Engineering Manager

Sidley Austin LLP

Chicago, IL • On-site

Full-time

Posted 13 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, including Databricks Lakehouse, Delta Lake, Databricks SQL, Apache Spark, Unity Catalog, Databricks Workflows, and Databricks Notebooks.
  • Proficiency with Python, PySpark, Spark SQL, 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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