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Remote Downstream Processing Jobs in Riverside, CA

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ...

This position is eligible for hybrid (office/remote) working arrangement and flexible working hours ... Implement, maintain, and continuously improve standard BIM workflows and processes * Ensure the ...

This position is eligible for hybrid (office/remote) working arrangement and flexible working hours ... Implement, maintain, and continuously improve standard BIM workflows and processes * Ensure the ...

Remote Downstream Processing information

See Riverside, CA salary details

$14

$25

$37

How much do remote downstream processing jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote downstream processing in Riverside, CA is $25.74, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $29.33 per hour, depending on experience, location, and employer.
What job categories do people searching Remote Downstream Processing jobs in Riverside, CA look for? The top searched job categories for Remote Downstream Processing jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Downstream Processing jobs? Cities near Riverside, CA with the most Remote Downstream Processing job openings:
Infographic showing various Remote Downstream Processing job openings in Riverside, CA as of June 2026, with employment types broken down into 95% Full Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $53,539 per year, or $25.7 per hour.
Data Quality Analyst (Collibra Specialist)

Data Quality Analyst (Collibra Specialist)

Mantek Solutions

Irvine, CA • Remote

$109K - $145K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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