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Remote Data Steward Jobs in Naperville, IL (NOW HIRING)

IQVIA

Associate Director, Data Analytics

Chicago, IL · Remote

Qualifications (Preferred) Experience leading data governance / metadata / lineage / stewardship ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Altruist

Staff Back End Engineer, Trading

Chicago, IL · On-site +1

This role will be remote for candidates located in Chicago, IL or New York, NY with some expected ... Act as a leader and steward of engineering best practices, helping to mentor other engineers and ...

The Hartford

AVP Applied AI

Chicago, IL · On-site +1

$182K - $273K/yr

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

The Hartford

AVP Applied AI

Chicago, IL · On-site +1

AVP Data Science - GD05AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ...

Inizio Evoke

Art Supervisor

Chicago, IL · Remote

... growth through data-driven insights and human centricity. We study the 'why' behind health ... This is a fully remote opportunity. What You'll Do * Take the lead on visual creative development ...

Generac

Staff Product Manager - Energy Services

Chicago, IL · On-site +1

$118K - $147K/yr

Atecobee, Product Managers are expected to operate as builders, storytellers, and stewards of the ... Partner with engineering, design, and data teams to deliver high-quality, scalable solutions

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Remote Data Steward information

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$11

$36

$72

How much do remote data steward jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote data steward in Naperville, IL is $36.20, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $39.62 per hour, depending on experience, location, and employer.

What is a remote data steward?

A Remote Data Steward is responsible for managing and maintaining data quality, consistency, and accuracy for an organization while working remotely. They ensure data governance policies are followed, monitor data integrity, and collaborate with teams to improve data management processes. This role often involves data validation, cleansing, and documentation to support business intelligence and decision-making. Remote Data Stewards use various tools to track and resolve data discrepancies while ensuring compliance with industry standards.

What are the main responsibilities of a remote data steward on a day-to-day basis?

As a Remote Data Steward, your typical day involves overseeing data quality, implementing data governance policies, and troubleshooting data integrity issues. You’ll frequently collaborate with data analysts, IT teams, and business stakeholders to ensure that data standards and compliance requirements are consistently met. Documentation, data mapping, and responding to data access or correction requests are also common aspects of the role. Regular virtual meetings and proactive communication are important for staying aligned with team objectives and driving data initiatives forward. This role is well-suited for detail-oriented professionals comfortable managing tasks independently in a remote work environment.

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

To thrive as a Remote Data Steward, you need a strong background in data management, data governance, and information systems, often supported by a bachelor’s degree in a related field. Familiarity with data governance platforms, SQL, data quality tools, and relevant certifications like DAMA-DMBOK are highly valued. Strong analytical thinking, attention to detail, and effective remote communication set top candidates apart. These abilities are crucial for maintaining data integrity, ensuring compliance, and collaborating efficiently within distributed teams.

How do I become a remote data steward?

To become a remote data steward, candidates typically need a bachelor's degree in information management, data science, or a related field, along with experience in data governance, quality, or management. Skills in data tools such as SQL, Excel, and data cataloging software are important, and certifications like Certified Data Management Professional (CDMP) can enhance prospects. Strong communication skills and the ability to work independently are also valuable for remote roles.

How much does a remote data steward earn?

A remote data steward typically earns between $50,000 and $80,000 annually, depending on experience, industry, and location. Salaries can vary based on certifications, technical skills, and the complexity of data management tasks involved.

What are popular job titles related to Remote Data Steward jobs in Naperville, IL?

For Remote Data Steward jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Steward jobs in Naperville, IL look for?

The top searched job categories for Remote Data Steward jobs in Naperville, IL are:

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Cities near Naperville, IL with the most Remote Data Steward job openings:

Remote Data Steward jobs near you
Infographic showing various Remote Data Steward job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $75,299 per year, or $36.2 per hour.

Enterprise Data Platform Lead (Data Governance & MDM)

Rush University Medical Center

Chicago, IL • Remote

$50.68 - $75.51/hr

Full-time

Posted 6 days ago

Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

117th of 1,064 rated hospitals

Job description

Location: Chicago, Illinois / Remote

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Data Management

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (7:00:00 AM - 3:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $50.68 - $75.51 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:

Join Rush as an Enterprise Data Platform Lead (Data Governance & MDM) and play a pivotal role in shaping the future of enterprise data management across one of the nation's leading academic health systems. In this highly visible leadership role, you will guide the design, implementation, and evolution of modern data governance, master data management (MDM), data lifecycle management, and cloud-based data platform solutions that support clinical care, research, education, and business operations across the Rush University System for Health.

As a hands-on technical leader, you will mentor a team of data engineers, analysts, and developers while partnering closely with business leaders, data stewards, and technology teams to ensure enterprise data is accurate, trusted, secure, and accessible. You will drive strategic initiatives involving Microsoft Fabric, Azure OneLake, Informatica IDMC, data governance, data quality, and advanced data integration solutions that enable data-driven decision making throughout the organization.

The ideal candidate combines deep technical expertise with strong leadership skills and thrives in complex environments where healthcare, academia, research, and technology intersect. Experience supporting data management initiatives within an academic medical center, university health system, or similarly complex healthcare organization is highly valued.

This is an exciting opportunity to influence enterprise data strategy, establish best practices for data governance and lifecycle management, and help advance Rush's mission of excellence in patient care, education, research, and innovation.

Responsibilities:

  • Manage a team of data specialists responsible for data governance and data lifecycle management functions.
  • With Data Management teams and business counterparts, design and develop master data management solutions using MDM.
  • With Data Management teams and business counterparts, implement and configure MDM workflows and processes.
  • Work with business stakeholders to understand data requirements and ensure solutions meet those needs.
  • Collaborate with data governance teams to establish and enforce data management policies.
  • Perform data quality assessments and implement data cleansing processes.
  • Ensure data consistency, accuracy, and integrity across all systems and applications.
  • With Data Management teams and business counterparts, document all Data Platform, Lifecycle Management and 3rd party data management solution implementations, integrations, workflows, processes, configurations, and changes.
  • With Data Management teams and business counterparts, provide training and support to business users on MDM tools and best practices.
  • With Data Management teams and business counterparts, provide ETL-based dimensional modelling, data profiling, standardization, de-duplication, and cleansing.
  • Deploy best practices to enhance system performance.
  • Translate business requirements into technology solutions and collaborate with business and other technical teams.
  • With Data Management teams and business counterparts, responsible for design, development and maintenance of data pipelines to enable data analysis and reporting.
  • With Data Management teams and business counterparts, builds, evolves, and scales infrastructure to ingest, process and extract meaning out data.
  • Write complex SQL queries or python code to support analytics needs.
  • Lead projects / processes, working independently with limited supervision
  • Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
  • With Data Management teams and business counterparts, builds data infrastructure and determines proper data formats to ensure data is ready for use.

Required Job Qualifications:

  • Bachelor's degree.
  • One to three years of technical lead skills
  • Five years’ experience with modern MDM tools

Preferred Job Qualifications:

  • Informatica IDMC certifications.
  • Microsoft Data Fabric with Azure OneLake and Data Factory experience and/or certifications.
  • 3+ years of hands-on data modeling, data integration, and data quality management experience.
  • Ability to mentor and lead engineers in a hands-on capacity.
  • 3+ years hands-on with DAMA-DMBOK Data Lifecycle Management (DLM).
  • Experience with modern and legacy cloud and on-premises data storage technologies.
  • Perform data quality assessments and implement data cleansing processes.
  • Experience with developing and executing test plans for MDM solutions.
  • Experience in Informatica IDMC with iPaaS, Customer 360 SaaS MDM, CLAIRE using Copilot, and CDGC or similar tools.
  • Experience designing and implementing data management solutions in Informatica on Azure Data Fabric platforms.
  • Familiarity with Informatica's implementation of the EDM Council's CDMC framework.
  • Strong background in cloud computing, software engineering and data processing.
  • Data management experience.
  • Experience in ETL Tools such as Pentaho, Talend, Informatica, Azure Data Factory, Apache Kafka and Apache Camel.
  • Experience designing and implementing analysis solutions on Azure OneLake and Microsoft Fabric
  • Data Platform or Spark based platforms such as Databricks.
  • Proficient in RDBMS such as Oracle, SQL Server, DB2, MySQL etc.
  • Strong analytical and problem-solving skills.
  • Strong verbal and written communication skills.
  • Proficient programming skills in Python, SQL, NoSQL, and Spark.
  • Ability to manage multiple projects is essential.
  • Ability to work independently or in groups.
  • Ability to prioritize time.
  • Ability to adapt to a rapidly changing environment.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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