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

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Data Steward Analyst

Chicago, IL · Remote

$50 - $58/hr

We are seeking a detail-oriented Data Analyst / Data Steward to support data inventory, profiling, lineage, quality, and documentation initiatives across multiple source systems and cloud/Databricks ...

New

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

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 ...

Senior Manager, Brand

Chicago, IL · Remote

$125K - $140K/yr

* $125,000 - $140,000 base salary range + annual bonus potential! * 100% remote in the United States ... Key responsibilities include building and stewarding an insights-led annual marketing calendar ...

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 ...

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 ...

... 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 ...

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Remote Data Steward information

See Chicago, IL salary details

$11

$37

$74

How much do remote data steward jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote data steward in Chicago, IL is $37.35, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $40.87 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 job categories do people searching Remote Data Steward jobs in Chicago, IL look for?

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

What cities near Chicago, IL are hiring for Remote Data Steward jobs?

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

Infographic showing various Remote Data Steward job openings in Chicago, IL as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $77,685 per year, or $37.3 per hour.

Data Steward Analyst

Staffing

Chicago, IL • Remote

$50 - $58/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Summary:
We are seeking a detail-oriented Data Analyst / Data Steward to support data inventory, profiling, lineage, quality, and documentation initiatives across multiple source systems and cloud/Databricks environments. The ideal candidate will work closely with Data Architects, Data Modelers, Engineers, database SMEs, and business stakeholders to support Bronze Layer readiness and future-state data design.

Key Responsibilities:

  • Inventory and analyze metadata and source data across databases.
  • Document data lineage, source-to-target mappings, data movement, controls, and reporting dependencies.
  • Compare data elements across systems to identify common fields, differences, and normalization needs.
  • Identify data gaps, quality issues, missing attributes, control gaps, and reconciliation requirements.
  • Develop and maintain data dictionaries, business definitions, naming conventions, and data rules.
  • Compare source data with existing cloud/Databricks data.
  • Collaborate with technical and business SMEs to support data design and governance.

Qualifications:

  • Experience in data analysis, data stewardship, data profiling, metadata management, and reconciliation.
  • Strong experience with data dictionaries, source-to-target mapping, and data lineage.
  • Experience working with Databricks/cloud data environments preferred.
  • Strong communication and collaboration skills.
  • Actuarial, insurance, financial services, or valuation experience is highly preferred.