Remote Data Quality Manager Jobs
Remote data quality manager jobs are open across the U.S. at remote-first firms and distributed data teams in sectors like healthcare, financial services, and enterprise software. Employers hiring remotely right now include VeeRteq Solutions, ICF, and oura. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 30+ Remote Data Quality Manager jobs
INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
KEY RESPONSIBILITIES
- Developing and maintaining complex SQL queries to support MDM solutions.
- Supporting SQL analysis, data validation, and data analysis reporting activities for MDM solutions.
- Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
- Performing script execution, maintaining, developing, and modifying existing programs to meet system and design specifications.
- Participating in unit, integration, and system testing.
- Performing data profiling and quality review and analysis.
- Improving the delivery and management of health and human services programs by utilizing data analytics and quality reviews.
- Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
- Participating in project discussions to document and recommend alternative technical solutions or requirements.
- Perform data quality assessments and document findings, recommendations, and remediation opportunities.
- Analyze data anomalies, matching issues, and client/member record quality concerns.
- Support data governance and data stewardship activities.
- Assist users during User Acceptance Testing (UAT) and production validation.
REQUIRED QUALIFICATIONS
- 5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
- Experience working with MDM platforms such as Informatica MDM.
- Experience gathering and documenting business and technical requirements.
- Experience in performing data profiling, data validation, testing, reconciliation, and data quality analysis.
- Experience supporting QA, UAT, or system testing activities.
- SQL experience, with large MDM and large relational DBMS.
- Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
- Strong analytical, problem-solving, and data validation skills.
- Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience working in other MDM tools including Cloud-native MDM solutions.
- Experience working in State Government, public sector, or regulated environments.
- Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
- Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
- Exposure to Python scripting for automation, testing, data validation, or profiling activities.
- Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
- Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
- Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
- Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
- Ability to operate in a telecommute environment and matrix organization with minimal direction.
INTRODUCTION
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
KEY RESPONSIBILITIES
- Developing and maintaining complex SQL queries to support MDM solutions.
- Supporting SQL analysis, data validation, and data analysis reporting activities for MDM solutions.
- Collaborate with project teams supporting database objects such as tables, stored procedures, and views for MDM.
- Performing script execution, maintaining, developing, and modifying existing programs to meet system and design specifications.
- Participating in unit, integration, and system testing.
- Performing data profiling and quality review and analysis.
- Improving the delivery and management of health and human services programs by utilizing data analytics and quality reviews.
- Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate effectiveness and efficiency supporting projects and change requests.
- Participating in project discussions to document and recommend alternative technical solutions or requirements.
- Perform data quality assessments and document findings, recommendations, and remediation opportunities.
- Analyze data anomalies, matching issues, and client/member record quality concerns.
- Support data governance and data stewardship activities.
- Assist users during User Acceptance Testing (UAT) and production validation.
REQUIRED QUALIFICATIONS
- 5+ years of experience in data analysis, data quality, MDM, business analysis, data governance, and data management.
- Experience working with MDM platforms such as Informatica MDM.
- Experience gathering and documenting business and technical requirements.
- Experience in performing data profiling, data validation, testing, reconciliation, and data quality analysis.
- Experience supporting QA, UAT, or system testing activities.
- SQL experience, with large MDM and large relational DBMS.
- Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
- Strong analytical, problem-solving, and data validation skills.
- Experience supporting MDM operations, issue resolution, testing activities, and SDLC delivery.
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Engineering, or equivalent experience.
PREFERRED QUALIFICATIONS
- Experience working in other MDM tools including Cloud-native MDM solutions.
- Experience working in State Government, public sector, or regulated environments.
- Experience with Agile/Scrum Sprint development and iterative/incremental delivery.
- Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
- Exposure to Python scripting for automation, testing, data validation, or profiling activities.
- Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
- Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, Data Lake, or comparable technologies is a plus.
- Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
- Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality is a plus.
- Ability to operate in a telecommute environment and matrix organization with minimal direction.
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Find JobsRemote Data Quality Manager Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data quality manager jobs.
- Five or more years of experience in data quality, data governance, or data management roles
- Proficiency with data profiling and quality tools such as Informatica DQ, Talend, or Ataccama
- Demonstrated experience defining and enforcing data quality standards and KPIs across business domains
- Strong SQL skills for querying, profiling, and validating large structured datasets
- Experience collaborating with data stewards, engineers, and business stakeholders on governance initiatives
- Bachelor's degree in computer science, information systems, statistics, or a related quantitative field
Tips for Your Remote Data Quality Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data quality manager openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through on-site listings mixed in. Apply as soon as a role goes live since remote openings close fast.
Show async documentation skills upfront
Remote data quality managers communicate findings through written reports, Slack threads, and annotated tickets rather than hallway conversations. Include writing samples or documented data issue reports in your application materials to signal you can operate without real-time hand-holding.
Build a public data quality portfolio
Create a GitHub repository or shared doc showing a real or simulated data validation project: the rules you defined, the anomalies you caught, and the downstream impact. Remote hiring managers often review this before an interview since they can't assess your work style in person.
Target companies with distributed data teams
Remote data quality roles are most common at companies whose engineering and analytics teams already work across time zones. Look for job postings that mention dbt, Airflow, or cloud data warehouses like Snowflake or BigQuery, which signal a mature remote data infrastructure where your role has real scope.
Remote Data Quality Manager Jobs: Frequently Asked Questions
How do I get a remote data quality manager job?
Target remote-first companies and distributed data teams that run their pipelines across multiple time zones, since those employers are most likely to hire data quality managers without an on-site requirement. Remote hiring managers screen for self-direction, clear written communication, and hands-on experience with tools like dbt, Great Expectations, or SQL-based profiling. A portfolio showing real data validation work, documented issues you caught, and the business impact of your fixes gives you a concrete edge over candidates who can only describe their process verbally.
Which companies hire remote data quality managers?
Companies hiring remote data quality managers right now include VeeRteq Solutions, ICF, and oura, based on current remote listings on Migrate Mate as of November 2026. Remote openings for this role tend to cluster at remote-first technology firms, distributed healthcare data platforms, and financial services companies running large-scale data operations across multiple locations.
Can you get a remote data quality manager job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to identify and resolve data issues independently from day one, without in-person mentorship. Remote-first startups and mid-size SaaS companies are more likely to take a chance on junior candidates than large enterprises. Showing a self-built data quality project, a documented case where you caught a data anomaly, or a certification in a tool like dbt or Informatica can substitute meaningfully for formal experience.
Do you need a degree for remote data quality manager jobs?
Not always. Many remote employers care more about demonstrated skills in data profiling, validation rules, and pipeline monitoring than a specific degree. A background in information systems, computer science, or statistics is common, but candidates who can show hands-on work with data quality frameworks and document the business outcomes of their fixes regularly get hired without a traditional four-year credential.
Which industries hire the most remote data quality managers?
Remote data quality manager roles concentrate in Technology & Software, based on current remote listings on Migrate Mate as of November 2026. Those sectors rely on distributed data teams managing high volumes of sensitive or regulated data, which makes remote data quality oversight a core operational need rather than a nice-to-have.
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