2

Remote Data Curation Jobs (NOW HIRING)

Databricks SME (Remote)

$175K - $195K/yr

This position is fully remote within the United States. Responsibilities * Implement and manage ... Experience with Data Analysis, Data Curation, Data Visualization (PowerBi), Python, Azure Synapse ...

Senior Data Scientist

Minneapolis, MN · On-site +1

$108K - $181K/yr

Work across semi-structured data use cases, including problem framing, data curation, model ... International relocation and international remote working arrangements outside of the United States ...

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... improve data curation and development in support of Machine Learning algorithm testing and ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Senior Engineer, Platform Analytics

$107K - $146K/yr

This is a deeply hands-on role focused on traditional data-engineering ELT - ingesting, curating ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

As competitors buyside platforms push into AI decisioning and data curation, BRIDGE ... Bachelor's degree; MBA or advanced degree a plus This is primarily a remote/work-from-home role ...

Director, Business Development

Paramus, NJ · On-site +1

$130K - $175K/yr

As competitors buyside platforms push into AI decisioning and data curation, BRIDGE ... Bachelor's degree; MBA or advanced degree a plus This is primarily a remote/work-from-home role ...

Description We're looking for Art Directors to join a team working on training data curation for ... remote position. Application Deadline This position is anticipated to close on Jul 22, 2026. About ...

next page

Showing results 1-20

Remote Data Curation information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data curation jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote data curation in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a data curator do?

A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or dataset. They review, clean, and categorize data to make it accessible and useful for analysis, often using tools like spreadsheets or data management software. This role requires attention to detail and knowledge of data standards and best practices.

Do curators make a lot of money?

Remote data curation roles typically offer salaries that are competitive within the data management field, with pay varying based on experience, skills, and industry. Entry-level positions may start lower, while experienced data curators with specialized knowledge can earn higher wages, often supplemented by benefits and flexible schedules.

What is remote data curation?

Remote data curation involves organizing, managing, and maintaining data sets from a remote location, ensuring their accuracy, quality, and usability for various purposes. Data curators work with digital information, often cleaning, annotating, and structuring data to make it more accessible and valuable for organizations or research. This role can include tasks like verifying data integrity, standardizing formats, and documenting metadata, all performed using online tools and collaboration platforms. Remote data curation allows professionals to work from anywhere, supporting projects in fields such as science, business, or technology.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, SQL, and statistical analysis. Many companies offer remote work options, and candidates typically need a relevant degree or certification and proficiency with tools like Excel, Tableau, or Python. Remote roles may also require strong communication skills and self-discipline to manage tasks independently.

What are some common challenges faced in a remote data curation role, and how can they be addressed?

One common challenge in remote data curation is ensuring consistent data quality and integrity across distributed teams. Without in-person collaboration, communication gaps can arise, making it important to use clear documentation practices and regular virtual check-ins. Additionally, remote curators often need to be proactive in seeking clarification and feedback to avoid misinterpretation of data standards. Leveraging collaborative tools and maintaining open communication channels can significantly help in overcoming these hurdles and maintaining workflow efficiency.

What is the difference between Remote Data Curation vs Remote Data Entry?

AspectRemote Data CurationRemote Data Entry
Primary FocusAnalyzing, organizing, and maintaining data quality and relevanceInputting and updating data into systems
Required SkillsData analysis, critical thinking, attention to detailTyping accuracy, basic computer skills
Work EnvironmentCollaborative, often involves research and validationIndividual, repetitive tasks
Common CertificationsData management, database certificationsNone typically required

Remote Data Curation involves managing and improving data quality through analysis and organization, while Remote Data Entry focuses on inputting data accurately into systems. Both roles require attention to detail, but data curation demands analytical skills and a deeper understanding of data relevance, making it more complex and strategic compared to the straightforward nature of data entry tasks.

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

To thrive as a Remote Data Curator, you need strong analytical abilities, attention to detail, and a background in information science, data management, or a related field. Familiarity with database systems, data cleaning tools (such as OpenRefine), and metadata standards is typically required, along with experience using collaborative platforms. Excellent communication, organizational skills, and the ability to work independently are crucial soft skills in this remote role. These skills ensure the accuracy, accessibility, and integrity of large datasets, supporting effective data-driven decision-making for organizations.

How much does a data curator make?

Data curators typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with specialized skills or certifications can earn higher salaries, especially in tech or research environments.
More about Remote Data Curation jobs
What cities are hiring for Remote Data Curation jobs? Cities with the most Remote Data Curation job openings:
What are the most commonly searched types of Data Curation jobs? The most popular types of Data Curation jobs are:
What states have the most Remote Data Curation jobs? States with the most job openings for Remote Data Curation jobs include:
Infographic showing various Remote Data Curation job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 36% Full Time, 3% Part Time, 1% Contract, 55% Nights, and 1% Summer. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Databricks SME (Remote)

$175K - $195K/yr

Full-time

Posted 16 days ago


GovCIO rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

126th of 213 rated it services


Job description

GovCIO is hiring a Databricks SME to support the Department of Veterans Affairs (VA) Data Modernization initiative. In this role, the Databricks SME will guide data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions. This position focuses on workspace automation, onboarding support, data platform usability, infrastructure provisioning, and white-glove customer success to ensure VA users can rapidly adopt and leverage modern data tools. This position is fully remote within the United States.
Responsibilities
  • Implement and manage linked services, mount points, and catalog configuration within Databricks and VA's VHA Data Lake.
  • Develop and optimize PySpark (Python/Scala) jobs, notebooks, and workflows in Databricks.
  • Build ETL/ELT pipelines using Azure Databricks Lakehouse features.
  • Design and implement Spark-based data processing for analytics workloads.
  • Optimize Databricks Spark jobs for performance, cost, and scalability (partitioning, caching, tuning, etc.).
  • Collaborate with data scientists, analysts, infrastructure specialists and business SME to deliver production-ready data solutions.
  • Experience with Delta Lake and Synapse.
  • Ensure data quality, governance, and security best practices.
  • Act as subject matter experts to the workgroups from start to finish in their migration to the cloud
  • Help workgroups set up their resources and migrate their work loads
  • Support automated data warehouse access provisioning for eligible users, ensuring seamless integration with VA Cloud Data Warehouse (CDW) systems.
  • Provide white-glove customer success services, including onboarding sessions, office hours, rapid async support, and creation of reusable templates, guides, and best-practice documentation.
  • Collaborate with Customer Success, Business Analysts, and Platform Engineering teams to refine intake processes, improve user satisfaction, and standardize workspace deployment.
  • Develop migration guidance and self-service resources to accelerate platform adoption and reduce user friction when transitioning from legacy data systems.
  • Troubleshoot user issues related to data access, workspace configuration, pipelines, cataloging, or permissions, escalating to engineering teams when needed.

Qualifications
Required Skills and Experience:
  • Bachelor's degree in Information Technology or a related field. (or commensurate experience)
  • 12+ years of experience in business analysis, project management, or a similar role.
  • Strong experience with Databricks and Azure data services, including workspace administration, catalog creation, linked services, storage mounts, and access configuration.
  • Proficiency in data engineering fundamentals such as ETL/ELT pipeline development, data modeling, and managing structured and unstructured datasets.
  • Ability to automate provisioning workflows and infrastructure using scripting or infrastructure-as-code tools (Python, PowerShell, Bash, Terraform, ARM, or Bicep).
  • Strong troubleshooting and problem-solving abilities for diagnosing platform, data access, and pipeline issues and collaborating across teams for resolution.
  • Effective communication skills with the ability to document technical processes, create reusable templates, and support users through onboarding, office hours, and white-glove assistance.

Preferred Skills and Experience:
  • Experience with Data Analysis, Data Curation, Data Visualization (PowerBi), Python, Azure Synapse/Azure Data Factory, Azure Data Lake Storage, SQL Server.
  • Certifications: Azure Databricks and Spark for Data Engineers, PySpark and SQL, Microsoft Azure Cert, SQL, SQLlite, Python Pandas, Sybase/SAP PowerDesigner, Databricks DAB, Databricks Unity Catalog, and Databricks lakflow pipelines
  • Exposure to Starburst, PowerBI, SSRS, SSIS and Unity Catalog
  • Familiarity with modern data lakehouse architectures, distributed data systems, and cloud data engineering practices.
  • Strong understanding of Azure data services, including storage, compute, identity and access management, and DevOps workflows.
  • Experience with workflow automation, CI/CD pipelines, or infrastructure-as-code (e.g., Terraform, ARM, Bicep).
  • Background in user-facing or customer-success-adjacent work such as onboarding, training, communications, or technical support.
  • Ability to translate business needs into technical requirements and develop scalable solutions that improve platform efficiency.
  • Knowledge of enterprise data systems common to healthcare or federal environments, especially data governance and data-security considerations.
  • Experience with tools such as Jira, ServiceNow, or SharePoint for intake, change management, and support processes.

Clearance Required
  • Ability to obtain and maintain a suitability/Public Trust

Posted Salary Range
USD $175,000.00 - USD $195,000.00 /Yr.

What GovCIO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom