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Remote Data Quality Jobs in Phoenix, AZ (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Implement model monitoring for drift, performance degradation, and data quality issues in ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Iridium Satellite, LLC

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As a Data Engineer III, you'll be responsible for delivering high-quality work that advances ...

Ascend Learning

Director Data & AI

Gilbert, AZ · On-site +1

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Establish operational metrics for data quality, pipeline reliability, model performance, analytics ...

Inherent Technologies

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of ... Implement processes and systems to monitor data quality, ensuring production data is always ...

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

... quality deliverables. Location Requirement: This position is eligible for remote work within any ... Assess, design, build, and maintain the data pipelines that enables Dutch Bros teams to collect ...

YO AI Labs

Pharmacovigilance Expert - Remote

Phoenix, AZ · Remote

$70 - $80/hr

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... commitment to data quality are what matter most. Key Responsibilities * Author and review ...

YO AI Labs

Medical Coder - Remote

Phoenix, AZ · Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... improve AI training data quality. Required Skills * Medical Coding * ICD-10 * CPT * CPC ...

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All JobsData Quality JobsRemote Data Quality JobsRemote Data Quality Jobs in Phoenix, AZ

Remote Data Quality information

See Phoenix, AZ salary details

$16

$41

$70

How much do remote data quality jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote data quality in Phoenix, AZ is $41.14, according to ZipRecruiter salary data. Most workers in this role earn between $27.69 and $53.94 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Data Quality jobs in Phoenix, AZ?

The most popular types of Data Quality jobs in Phoenix, AZ are:

What are popular job titles related to Remote Data Quality jobs in Phoenix, AZ?

For Remote Data Quality jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Data Quality jobs in Phoenix, AZ look for?

The top searched job categories for Remote Data Quality jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Data Quality jobs?

Cities near Phoenix, AZ with the most Remote Data Quality job openings:

Remote Data Quality jobs near you
Infographic showing various Remote Data Quality job openings in Phoenix, AZ as of August 2026, with employment types broken down into 68% Full Time, 16% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,577 per year, or $41.1 per hour.

Data Scientist

Mondo

Phoenix, AZ • Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

Apply now: Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position.

Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.) Start Date: ASAP Duration: Contract, 6 Months (extension likely) Compensation Range: $65/hr to $75/hr Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship

Job Description: The client is seeking a Data Scientist with deep expertise in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI solutions while embedding Responsible AI practices across the full development lifecycle. This role requires hands on MLOps maturity, not just model building, the candidate will own how models move from experimentation into production and stay reliable once they get there.

Job Summary:

  • Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise environments
  • Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure
  • Develop and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
  • Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
  • Implement model monitoring for drift, performance degradation, and data quality issues in production
  • Apply statistical modeling techniques to solve complex business problems
  • Collaborate with stakeholders across the organization to translate requirements into scalable AI solutions
  • Embed Responsible AI practices across model development, deployment, and governance workflows
  • Contribute across the full development lifecycle, from experimentation through production release

Requirements:

Must Haves:

  • Location: candidate must be based in Pacific, Mountain, or Central time zone. This is a hard requirement, not a preference.
  • Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
  • Must currently or most recently hold a Data Scientist title (Data Scientist, Senior Data Scientist, Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.)
  • Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
  • Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
  • Master's degree in a STEM field
  • 4 years of proficiency in SQL
  • 4 years of proficiency in Python
  • Hands on experience with AWS or Azure cloud platforms
  • Proficiency with Git for version control
  • Strong communication skills with demonstrated ability to work cross functionally with stakeholders

Nice to Haves:

  • Experience with Snowflake for data warehousing and analytics
  • Hands on experience with AWS specifically, in addition to general cloud proficiency
  • Startup or fast paced environment mindset with comfort navigating ambiguity
  • Active personal use of AI tools and familiarity with the evolving AI landscape