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Remote Data Steward Jobs (NOW HIRING)

Ochsner Health

Data Governance Principal - Remote

This position can be remote What you will do * Serve as the primary operational and technical owner ... Support and enable data stewardship , developing communities of practice and guidance for stewards ...

Trace3

Manager, Data Governance (Remote)

Dallas, TX · Remote

This role will define governance standards, stewardship models, operating cadences, and data management practices that improve consistency, trust, quality, and accountability across enterprise ...

New

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

Through our values of humility, intellectual rigor, and stewardship we help companies gain a new ... data. Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates ...

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How much do remote data steward jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for remote data steward in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.

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 in the Remote Data Steward position, 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.

What is a Remote Data Steward job?

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.

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Remote Data Steward jobs near you
Infographic showing various Remote Data Steward job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,411 per year, or $36.3 per hour.
Data Quality Analyst (Collibra Specialist)

Data Quality Analyst (Collibra Specialist)

Mantek Solutions

Irvine, CA • Remote

$109K - $145K/yr

Full-time

Posted 4 days ago

Job description

Data Quality Analyst (Collibra Specialist)
Remote (USA)
Direct Hire | W2 Only (No C2C / No Sponsorship)
 

Looking for an experienced Collibra Data Quality Analyst to play a strategic technical role in implementing and maintaining the Data Quality & Observability platform — ensuring enterprise data is accurate, consistent, and fit for purpose. This role increasingly focuses on automated observability and machine learning-driven anomaly detection.

Responsibilities:

  • Design, configure, and manage data quality rules and monitoring processes within the Collibra ecosystem
  • Bridge technical data engineering teams and business stakeholders, translating requirements into actionable DQ scorecards and automated remediation workflows
  • Identify data-related risks and associated controls across Record Retention, Data Quality, Data Movement, Data Protection, and Data Sharing
  • Perform root cause analysis on data quality issues and drive remediation of audit and regulatory feedback
  • Partner with data stewards and business owners to define critical data elements (CDEs) and establish quality thresholds
  • Monitor, communicate, and resolve data quality issues across upstream and downstream systems

Requirements:

  • Mastery of Collibra Data Quality & Observability (formerly Owl DQ); experience with Collibra DGC preferred
  • Strong SQL (including Spark SQL) and Python or Java skills for custom integrations
  • Hands-on experience with Snowflake, Databricks, or Google Cloud Platform
  • Ability to build dashboards and scorecards; experience exporting DQ metrics to Tableau or Power BI
  • Deep understanding of data governance principles — metadata management, data lineage, and stewardship
  • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
  • Familiarity with Agile/Scrum and JIRA for tracking initiatives