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Remote Data Steward Jobs in Riverside, CA (NOW HIRING)

Senior Data Security Engineer

Santa Ana, CA · Remote

$129.30K - $172.30K/yr

We are open to remote candidates for this role What You'll Do: * Drive initiatives like expanding ... Partner with business units and data stewards to support data security initiatives across the ...

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See Riverside, CA salary details

$11

$37

$75

How much do remote data steward jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for remote data steward in Riverside, CA is $37.82, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $41.39 per hour, depending on experience, location, and employer.

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.

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 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 popular job titles related to Remote Data Steward jobs in Riverside, CA? For Remote Data Steward jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Steward jobs in Riverside, CA look for? The top searched job categories for Remote Data Steward jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Data Steward jobs? Cities near Riverside, CA with the most Remote Data Steward job openings:
Infographic showing various Remote Data Steward job openings in Riverside, CA as of May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $78,674 per year, or $37.8 per hour.
Data Quality Analyst (Collibra Specialist)

Data Quality Analyst (Collibra Specialist)

Mantek Solutions

Irvine, CA • Remote

$109K - $145K/yr

Full-time

Posted 28 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