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Remote Data Steward Jobs in Virginia (NOW HIRING)

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

The position is remote. We offer competitive compensation and an extraordinary benefits package ... The Data & Metrics Analyst will serve as the primary data steward and analytics lead responsible ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

The position is remote. We offer competitive compensation and an extraordinary benefits package ... The Data & Metrics Analyst will serve as the primary data steward and analytics lead responsible ...

Booz Allen Hamilton, Inc.

Data Governance Lead

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0244173 Location: McLean,VA,US Share job via: Share Data ... The role involves metadata management, data stewardship, and compliance oversight, ensuring that ...

Booz Allen Hamilton, Inc.

Data Governance Lead

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0241460 Location: McLean,VA,US Share job via: Share Data ... The role involves metadata management, data stewardship, and compliance oversight, ensuring that ...

A-TEK Inc.

Data Strategist

Alexandria, VA · On-site +1

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Establish data quality, metadata, master data, and data stewardship frameworks. * Define enterprise ...

Genworth Financial

Principal Data Analyst

Richmond, VA · On-site +1

... remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama ... Serve as a steward of reporting standards, helping prevent ad hoc, duplicative, or inconsistent ...

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Remote Data Steward information

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$11

$35

$71

How much do remote data steward jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote data steward in Virginia is $35.94, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $39.33 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

A remote data steward can potentially earn $2,000 a week by gaining specialized skills in data management, quality assurance, and using tools like Excel or data governance platforms. Achieving this income level often requires extensive experience, certifications, and working on high-value projects or consulting contracts. Consistent high earnings may also depend on the industry, client base, and workload volume.

How to make $1000 a week remote?

A remote Data Steward can earn $1000 or more weekly by working full-time, often requiring strong data management skills, familiarity with tools like Excel or data governance platforms, and relevant certifications. Achieving this income level may involve taking on multiple projects, freelance work, or positions with higher pay rates in industries such as healthcare, finance, or technology.

What is the data steward salary?

The salary for a remote data steward typically ranges from $60,000 to $90,000 annually, depending on experience, industry, and location. Many roles also include skills in data management tools and certifications such as CDMP or DAMA-DMBOK.

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 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 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.

Are Amazon data entry jobs real?

Amazon data entry jobs are legitimate positions that involve inputting and managing data using tools like spreadsheets and databases. These roles often require attention to detail and basic computer skills, and they can be performed remotely or on-site depending on the position. However, job seekers should be cautious of scams and verify listings through official Amazon channels or reputable job boards.
What are the most commonly searched types of Data Steward jobs in Virginia? The most popular types of Data Steward jobs in Virginia are:
What are popular job titles related to Remote Data Steward jobs in Virginia? For Remote Data Steward jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Steward jobs in Virginia look for? The top searched job categories for Remote Data Steward jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Steward jobs? Cities in Virginia with the most Remote Data Steward job openings:
Remote Data Steward jobs near you
Infographic showing various Remote Data Steward job openings in Virginia as of July 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 100% Remote job distribution, with an average salary of $74,764 per year, or $35.9 per hour.

Exploitation Specialist/Data Steward

Select Search Associates LLC

Arlington, VA • Remote

Full-time

Posted 4 days ago

Job description

Overview

We are seeking an experienced Explotation Specialist/Data Steward to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a Data Scientist, you will play a key role in designing, implementing, and maintaining the data architecture that supports AI/ML model development, testing, and evaluation. You will develop scalable data pipelines, integrate data from emerging sensors and platforms, and ensure data is standardized, accessible, and compliant with Government data governance requirements. Working closely with engineers, imagery scientists, and mission analysts, you will help deliver reliable, high-quality datasets that enable advanced analytics and operational decision-making.

Required Qualifications
  • 10+ years of relevant experience. (A combination of years of experience, professional certifications, and education may be used in lieu of years of experience)
  • Demonstrated understanding of GIS, data schemas, and the geo-referencing of information
  • Knowledge of extraction and metadata specifications
  • Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques
  • Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs)
  • Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data
  • Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships
  • Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams
  • Knowledge of scripting languages, such as R or Python
Preferred Qualifications
  • Experience supporting NGA enterprise technologies and environments, including NGA CORE, NGA MLOps, Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates.
  • Experience implementing processes and tools within organizations utilizing the Scaled Agile Framework (SAFe).
  • Experience developing dashboards and data visualizations to monitor operational pipeline health, data availability, currency, throughput, and overall system performance.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines to ingest, process, and store data from emerging sensors and collection platforms.
  • Create and manage database schemas, tables, and supporting infrastructure while implementing automated data quality monitoring and health alerts.
  • Develop API-based workflows to securely move sensor data between Government data platforms in accordance with program requirements.
  • Ensure all sensor data complies with Government-defined schemas, formatting standards, metadata requirements, and data governance policies.
  • Assess the impact of new sensor data on existing databases, metadata models, APIs, schemas, and ETL processes to support seamless integration into operational data pipelines.
  • Develop preprocessing and standardization workflows to prepare data for AI/ML model training, testing, and evaluation. Activities may include format conversion, imagery chipping, orthorectification, metadata normalization, and other transformation processes required to produce high-quality analytical datasets.
  • Collaborate with cross-functional teams to optimize data workflows, improve pipeline reliability, and support the delivery of mission-ready datasets for advanced analytics and machine learning applications.