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Collibra Remote Jobs in Washington (NOW HIRING)

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

Remote (EST/CST Preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $125,000 - $140,000 annually Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work ...

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer The Opportunity: As a data engineer, you know that a good site or system needs the right combination ...

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0245373 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Booz Allen is seeking a Data Engineer to architect, develop, and optimize scalable ...

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

ML Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Showing results 21-40

Collibra Remote information

What is a Collibra Remote?

A Collibra Remote job refers to a position where an employee works with Collibra, a leading data governance and data management platform, from a remote location rather than in a traditional office setting. These roles can include positions like data governance analyst, Collibra platform administrator, or developer, and typically involve tasks such as configuring Collibra solutions, managing metadata, and ensuring data quality and compliance. Working remotely allows professionals to collaborate with teams globally using digital tools while leveraging the capabilities of the Collibra platform.

What are some common challenges faced by professionals working in a remote Collibra role, and how can they be addressed?

Professionals in remote Collibra roles often face challenges such as maintaining effective communication with cross-functional teams, staying up-to-date with platform updates, and ensuring data governance initiatives remain aligned with organizational goals. Overcoming these challenges typically involves leveraging collaboration tools, setting clear expectations with stakeholders, and participating in regular virtual check-ins. Additionally, proactively seeking out training on new Collibra features and staying connected to the broader data governance community can help remote employees remain effective and engaged.

What are the key skills and qualifications needed to thrive as a Collibra Remote Data Governance Specialist, and why are they important?

To thrive as a Collibra Remote Data Governance Specialist, you need a solid understanding of data governance principles, data management, and experience with Collibra’s data intelligence platform, often supported by a degree in information technology or a related field. Familiarity with Collibra tools, workflow automation, metadata management, and relevant certifications such as Collibra Ranger or Collibra Steward are typically required. Strong analytical thinking, communication, and problem-solving skills help professionals collaborate with stakeholders and translate business requirements into effective data governance solutions. These competencies are vital for ensuring accurate, compliant, and accessible data across an organization, supporting critical business decisions.

What is the difference between Collibra Remote vs Data Governance Analyst?

AspectCollibra RemoteData Governance Analyst
Required CredentialsCertifications in data governance, Collibra platform knowledgeCertifications in data management, data analysis, often Collibra knowledge
Work EnvironmentRemote, collaborative teams, tech-focusedRemote or on-site, analytical and compliance-focused
Industry UsageUsed across industries for data governance and catalogingPrimarily in finance, healthcare, and tech sectors
Common Search IntentComparing remote data governance roles involving CollibraUnderstanding data governance roles with Collibra expertise

Collibra Remote roles focus on managing data governance platforms remotely, requiring Collibra platform knowledge and certifications. Data Governance Analysts also work with Collibra but may have broader data management responsibilities, often in specific industries. Both roles are remote-friendly and involve data compliance, but Collibra Remote positions emphasize platform-specific skills.

What are popular job titles related to Collibra Remote jobs in Washington?

For Collibra Remote jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Collibra Remote jobs?

Cities in Washington with the most Collibra Remote job openings:

Infographic showing various Collibra Remote job openings in Washington as of August 2026, with employment types broken down into 79% Full Time, 1% Temporary, and 20% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

Data Analytics Developer (Remote Eligible)

Mathematica

Washington, DC • On-site, Remote

Full-time

Re-posted 8 days ago


Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are seeking an intellectually curious Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  • Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creating and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found