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Data Processing Manager Jobs in Romeoville, IL (NOW HIRING)

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.

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 ...

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

$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 ...

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 ...

Comprehensive Resources Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Develop and manage data solutions in Azure SQL Database. * Work with Databricks (Apache Spark) to support data transformations, analytics, and large-scale data processing. * Integrate Azure SQL with ...

Gotion, Inc.

Data Analyst

Manteno, IL

... about data processing, analytics, and AI-driven insights. You will work on real-world projects ... Familiarity with SQL and database management. * Basic understanding of machine learning concepts ...

Scadea

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

You will build scalable data pipelines, manage enterprise data warehouses, and transform massive ... Data Processing: Build high-performance, distributed data transformation workloads via Azure ...

Pwc

Data Engineer - Senior Manager

Chicago, IL

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/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

IMC

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

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

Infojini Inc

Snowflake Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Develop and manage modular, reusable dbt models including staging, intermediate, and data marts ... Proficiency in Python programming for automation, data processing, and operational support. * Solid ...

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All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Romeoville, IL

Data Processing Manager information

See Romeoville, IL salary details

$35.2K

$53.5K

$69.8K

How much do data processing manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data processing manager in Romeoville, IL is $53,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,300.00 and $63,700.00 per year, depending on experience, location, and employer.

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

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.

Are data managers in demand?

Data processing managers are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require strong analytical skills, knowledge of data management tools, and experience with data governance, making their roles essential in organizations seeking to optimize data workflows.

What is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics, and governance.

Is a data processor a stressful job?

A data processing manager role can be stressful due to tight deadlines, high accuracy requirements, and managing large volumes of data. The job often involves attention to detail, problem-solving skills, and working with data management tools, which can contribute to workload pressure.

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. The role often requires strong leadership, problem-solving skills, and knowledge of data security and compliance standards.
What are the most commonly searched types of Data Processing jobs in Romeoville, IL? The most popular types of Data Processing jobs in Romeoville, IL are:
What are popular job titles related to Data Processing Manager jobs in Romeoville, IL? For Data Processing Manager jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Data Processing Manager jobs in Romeoville, IL look for? The top searched job categories for Data Processing Manager jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Data Processing Manager jobs? Cities near Romeoville, IL with the most Data Processing Manager job openings:
Data Processing Manager jobs near you
Manager, Enterprise Data and Integrations

Manager, Enterprise Data and Integrations

Invenergy LLC

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Invenergy rating

8.6

Company rating: 8.6 out of 10

Based on 7 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-ONSITE
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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