ZipRecruiter

Log In

1

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

NEWMARK

Staff Data Engineer

Chicago, IL · On-site

Architect and lead enterprise Master Data Management (MDM), including golden records, entity ... Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka ...

Allstate Insurance

Senior Data Engineer Con II

Chicago, IL · On-site

$109K - $148K/yr

Build and manage data processing workloads within modern lakehouse platforms, including Microsoft Fabric / OneLake (preferred). * Ensure data quality, reliability, and consistency by implementing ...

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern ... Implement encryption, key management, and secure handling with cloud-native security services.

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern ... Implement encryption, key management, and secure handling with cloud-native security services.

Pwc

Data Engineer - Senior Manager

Chicago, IL · On-site

$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 ...

Pwc

Data Engineer - Senior Manager

Rosemont, IL · On-site

$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 ...

Delviom LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Processing and Data Integration. * Strong hands-on coding experience in Python, PySpark, and ... Provision and manage AWS cloud resources using Infrastructure as Code (Terraform), including ...

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

CNA

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

... processing. * Solid experience managing diverse data sources including preprocessing, cleansing, and verifying data integrity to meet data science and ML requirements * Demonstrated experience with ...

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

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Build processes supporting data transformation, data structures, metadata, dependency, and workload management. * A successful history of manipulating, processing, and extracting value from large ...

1872 Consulting

Sr. Data Engineer

Chicago, IL

$118K - $141K/yr

... process in source control and coordinate changes across team.Partner with Product Management and Operation teams to proactively identify monitoring gaps and improving upstream data collection and ...

1872 Consulting

Sr. Data Engineer

Chicago, IL

$118K - $141K/yr

... process in source control and coordinate changes across team.Partner with Product Management and Operation teams to proactively identify monitoring gaps and improving upstream data collection and ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Build processes supporting data transformation, data structures, metadata, dependency, and workload management. * A successful history of manipulating, processing, and extracting value from large ...

previous page

Showing results 41-60

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

Data Processing Manager information

See Lisle, IL salary details

$34K

$51.8K

$67.6K

How much do data processing manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data processing manager in Lisle, IL is $51,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $61,600.00 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 the most commonly searched types of Data Processing jobs in Lisle, IL?

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

What are popular job titles related to Data Processing Manager jobs in Lisle, IL?

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

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

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

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Lisle, IL as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Contract, and 2% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $51,771 per year, or $24.9 per hour.

Staff Data Engineer

NEWMARK

Chicago, IL • On-site

Full-time

Medical, Dental, Vision

Posted 20 days ago

Newmark rating

9.2

Company rating: 9.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

9th of 204 rated real estate companies

Job description

Responsibilities
  • Own and drive the technical architecture for complex, cross-team data initiatives spanning ingestion, transformation, storage, and serving layers.
  • Design, build, and maintain scalable, high-performance data pipelines and distributed data platforms in a cloud-native environment (Azure, AWS, or GCP).
  • Architect and lead enterprise Master Data Management (MDM), including golden records, entity resolution, data domains, reference and hierarchy management, and stewardship, to create trusted, authoritative data across the business.
  • Architect and integrate agentic AI and LLM-driven workflows (autonomous agents, RAG pipelines, AI copilots) into data platforms and pipelines to drive efficiency and new capabilities.
  • Build and support the data foundations for machine learning and AI, including feature stores, vector stores, embeddings, and ML/LLMOps pipelines.
  • Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack to expose curated datasets to applications, analytics, and BI consumers.
  • Set engineering standards and best practices for data quality, modeling, testing, observability, and deployment across the organization, including responsible use of AI-assisted development tools.
  • Establish data governance, lineage, cataloging, and quality frameworks across the data estate.
  • Lead technical design reviews and provide architectural guidance to multiple engineering and data teams.
  • Partner with product, analytics, and engineering leadership to translate business strategy into scalable data roadmaps, including AI-driven capabilities.
  • Identify and resolve systemic performance, reliability, and scalability issues across the data stack.
  • Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on data engineering, MDM, and AI practices.
  • Drive adoption of modern frameworks, tools, and engineering practices, including agentic AI and LLM tooling, to improve delivery velocity and platform resilience.
  • Maintain awareness of emerging technologies and industry trends, particularly in agentic AI, master data management, and modern data platforms, and assess their applicability to the business.

Qualifications
Basic Qualifications
  • Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred.
  • 12+ years of experience in data engineering or software engineering, with demonstrated experience architecting data platforms and pipelines at scale.
  • Expert-level SQL and strong proficiency in Python (Scala or Java a plus) for large-scale data processing and transformation.
  • Deep experience with cloud data platforms (e.g., Databricks, Snowflake, Synapse, BigQuery, Redshift) and cloud-native architecture patterns.
  • Deep understanding of distributed systems, data modeling (dimensional, data vault, lakehouse), and ETL/ELT architecture.
  • Hands-on experience designing and implementing Master Data Management (MDM) solutions, including entity resolution, match/merge, golden records, and reference/hierarchy management (e.g., Informatica, Reltio, Profisee, or similar).
  • Hands-on experience building or integrating agentic AI systems, LLM-powered applications, RAG pipelines, or AI agent orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP).
  • Experience building backend data services and APIs (REST/GraphQL), with comfort working across the full stack.
  • Strong background with both relational (SQL) and NoSQL data stores, plus data lake/lakehouse formats (Delta, Iceberg, Parquet).
  • Deep understanding of CI/CD pipelines, infrastructure as code, and DevOps/DataOps practices.
  • Proven track record of leading large-scale technical initiatives across multiple teams.
  • Demonstrated ability to mentor engineers and influence technical direction without direct reporting authority.

Preferred Qualifications
  • Experience with data governance, lineage, and cataloging tools (e.g., Unity Catalog, Microsoft Purview, Collibra, Alation).
  • Experience designing multi-agent systems, tool-calling architectures, or retrieval-augmented generation (RAG) pipelines.
  • Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka, Event Hubs, Kinesis, Flink, Spark Structured Streaming).
  • Experience building the data layer for ML/AI, including feature stores, vector databases, embeddings, and ML/LLMOps.
  • Familiarity with containerization and orchestration (Docker, Kubernetes) and workflow orchestration (Airflow, Dagster, dbt).
  • Prior experience in commercial real estate, fintech, or operations/transaction systems.
  • Track record of speaking, writing, or open-source contributions that demonstrate technical thought leadership, especially in applied AI or data.

Why Join Us?
  • Shape the technical direction of business-critical data platforms at enterprise scale, including master data management and next-generation agentic AI initiatives.
  • Be part of a high-impact team where ownership, innovation, and technical excellence drive success.
  • Competitive compensation, growth opportunities, and access to world-class engineering, data, and AI resources.
  • Collaborative Culture: Join a high-caliber team with deep expertise across data engineering, cloud, MDM, agentic AI, and distributed systems.
  • Growth & Learning: Access world-class learning resources and mentorship to advance your career.
  • Work-Life Balance: Flexible working hours and hybrid options.
  • Benefits: Comprehensive health, dental and vision insurance.

If you're passionate about architecting scalable data platforms, building trusted master data and agentic AI-driven solutions, and shaping engineering culture, we'd love to hear from you!
Apply now and help redefine the future of data and AI at scale!
Salary Language:
The expected base salary for this position ranges from $190,000 to $225,000 annually. The actual base salary will be determined on an individualized basis taking into account a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package, this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.).
Working Conditions: Normal working conditions with the absence of disagreeable elements.
Note: The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified.
Newmark is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
About Us
Newmark Group, Inc. (Nasdaq: NMRK), together with its subsidiaries ("Newmark"), is a world leading commercial real estate advisor and service provider to large institutional investors and other owners, global corporations and other occupiers, and lenders. Built with purpose and driven by excellence, Newmark's comprehensive platform is uniquely tailored to provide superior outcomes to clients. For the twelve months ended June 30, 2026, Newmark generated revenues of more than $3.6 billion. As of June 30, 2026, Newmark and its business partners together operated from over 195 offices with more than 10,000 professionals across four continents. Learn more at nmrk.com or follow @newmark.
Discussion of Forward-Looking Statements about Newmark
Statements in this document regarding Newmark that are not historical facts are "forward-looking statements" that involve risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements. These include statements about the Company's business, results, financial position, liquidity, and outlook, which may constitute forward-looking statements and are subject to the risk that the actual impact may differ, possibly materially, from what is currently expected. Except as required by law, Newmark undertakes no obligation to update any forward-looking statements. For a discussion of additional risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements, see Newmark's Securities and Exchange Commission filings, including, but not limited to, the risk factors and Special Note on Forward-Looking Information set forth in these filings and any updates to such risk factors and Special Note on Forward-Looking Information contained in subsequent reports on Form 10-K, Form 10-Q or Form 8-K.

What Newmark employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply