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Data Processing Manager Jobs in Chicago Ridge, IL

ASB Solutions

GCP Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

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

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.

Syntricate Technologies

DATA Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

The role involves designing data synchronization processes, developing data models for cloud ... management skills Company : Syntricate Technologies offers quality assurance, validation ...

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

Pwc

Data Validation Risk - Manager

Chicago, IL · On-site

$99K - $232K/yr

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ... Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science ...

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... manage CI/CD pipelines and DevOps processes • Ensure system scalability, reliability, and ... Pandas, NumPy for data processing • Must have previous client experience working for this ...

US Bank

Infrastructure Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and develop data ingestion processes from multiple sources, including: * Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure, AWS) * Enterprise ...

Sidley Austin LLP

Data Engineering Manager

Chicago, IL · On-site

$165K - $185K/yr

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 ...

McDonald's Corporation

Data Engineer III

Chicago, IL · On-site

$138K - $172K/yr

Real‑Time Data Processing Build scalable solutions using technologies such as Kafka, Spark ... Engineering Delivery Independently manage and deliver complex engineering work items with minimal ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... manage workflows using orchestration tools (e.g., Airflow, Control-M) Automate data pipelines, deployments, and operational processes through CI/CD pipelines Leverage cloud-native services (AWS/Azure ...

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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 Sep 13, 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 are popular job titles related to Data Processing Manager jobs in Chicago Ridge, IL?

For Data Processing Manager jobs in Chicago Ridge, IL, the most frequently searched job titles are:

What job categories do people searching Data Processing Manager jobs in Chicago Ridge, IL look for?

The top searched job categories for Data Processing Manager jobs in Chicago Ridge, IL are:

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.

Manager, Enterprise Data and Integrations

Chicago, IL • On-site

Invenergy LLC
Clean Energy Power Generation • 1 - 5K employees
Learn more about Invenergy LLCexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Invenergy rating

9.3

Company rating: 9.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Invenergy is North America's largest privately held developer, owner, and operator of power infrastructure. With 25 years of trusted execution, we deliver reliable, affordable energy through a diverse portfolio that includes natural gas, solar, land-based wind, energy storage, transmission, and domestic manufacturing. Headquartered in Chicago, we develop, own, and operate large scale projects that power communities and support the energy future.
This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.
Job Description
The Manager, Data and Integrations is responsible for overseeing the enterprise integration program and the operational management of data pipelines, analytics platforms, and integration workflows. This role manages the technology stack spanning Azure, Databricks, Synapse, SQL Server, and Boomi, ensuring secure, reliable, and high-performing data and integration operations. The manager will develop program roadmaps, govern standards, lead cross-functional collaboration, and ensure seamless flow of data across applications, systems, and business processes.
This role provides technical leadership, operational oversight, and strategic direction to a team of analysts and integration specialists, as well as external vendors. The Manager, Data & Integrations partners closely with business teams to understand data and analytics needs, supports data exploration, and ensures governance, compliance, and efficient operations across the enterprise data ecosystem.
Responsibilities
Program Leadership & Strategy
  • Lead the enterprise application integration and data operations program, including roadmap development, governance, standards, and strategic planning.
  • Provide regular updates to IT and business leadership regarding program progress, performance, risks, and planned improvements.
  • Drive continuous improvement of integration and data platform operations through process optimization, automation, and adoption of industry best practices.

Platform & Data Pipeline Operations
  • Oversee daily operations and monitoring of data pipelines and platforms across Azure, Databricks, Synapse, SQL Server, and Boomi.
  • Ensure reliability, availability, and performance of integration workflows and data processing pipelines.
  • Direct and support root-cause analysis of operational issues and establish preventative practices, alerts, and dashboards.
  • Manage system configuration, access provisioning, workspace/environment administration, and routine platform health checks.

Integration Management
  • Lead and supervise the design, development, deployment, and maintenance of application integrations using Boomi and other integration technologies.
  • Ensure integrations are properly cataloged, documented, secure, and aligned with enterprise architecture principles.
  • Improve support processes by reducing escalations through standard resolutions, documentation, and knowledge transfer to the IT Service Desk.
  • Oversee QA, UAT, and regression testing for all new or enhanced integrations.

Data Governance, Quality & Compliance
  • Contribute to enterprise data governance practices, including metadata management, lineage documentation, and catalog upkeep.
  • Ensure integrations and data pipelines adhere to governance, security, and compliance requirements.
  • Support data quality practices by identifying data anomalies, coordinating remediation efforts, and implementing automated validation checks.

Cross-Functional Partnership & Business Enablement
  • Collaborate with business teams to understand analytics and reporting needs, supporting data exploration and enabling self-service usage of enterprise data.
  • Partner with application teams, enterprise architecture, and functional IT groups to ensure integrations align with application roadmaps and business priorities.
  • Communicate change management plans, ensuring integration owners are informed and changes are tested and validated before deployment.

Team Leadership & Vendor Management
  • Manage a team of system analysts, data operations specialists, and third-party vendors responsible for integrations and data platform operations.
  • Provide coaching, development, and guidance on integration patterns, data engineering best practices, and operational excellence.
  • Oversee vendor coordination for integration support, new capability delivery, and escalation resolution.

Operational Administration
  • Maintain operational tasks including cost center updates, distribution list management, access reviews, and platform usage monitoring.
  • Develop metrics, dashboards, and weekly status reports to communicate operational performance and guide decision making.
  • Maintain shared repositories of system documentation, SOPs, architecture diagrams, training materials, and support guides.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 2+ years managing integration programs and technical teams.
  • 5+ years of experience working with modern integration platforms (Boomi, Azure Integration Services, MuleSoft).
  • 5+ years of experience working with modern data platforms (Databricks, Azure Data Factory, FiveTran).
  • 7+ years designing and implementing integration solutions (REST, SOAP, APIs, file-based integrations).
  • Hands-on experience managing Azure, SQL Server, Azure SQL, Databricks, or Synapse environments.
  • Experience supporting or implementing integrations with SaaS platforms such as Oracle Cloud, Workday, Hexagon EAM, etc.
  • Strong understanding of data flows, business processes, and technical interfaces.
  • Knowledge of common protocols and formats: XML, JSON, REST, SOAP, JDBC/ODBC, SFTP, PGP encryption.
  • Strong communication, organizational, and stakeholder management skills.
  • Ability to manage project delivery and multiple changing priorities.
  • Eligible to work in the United States without the need for employer sponsorship.

Preferred Qualifications
  • PMP or similar project management certification.
  • Hands-on experience with Boomi AtomSphere administration and monitoring.
  • Familiarity with Python, JavaScript, or NodeJS.
  • Experience with Power BI or other analytics/data visualization tools.
  • Experience with advanced Excel for data validation and manipulation.
  • Understanding of Azure Fabric, Unity Catalog, or modern data governance tools.

#LI-Hybrid
Base Pay
139,000.00 - 165,000.00 USD Annual
Bonus: 25% - 40%
The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate's experience, education and skills.
In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process.
Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, paid time off, etc.
Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

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