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Remote Data Cleaning Jobs in Reston, VA (NOW HIRING)

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Establish protocols for collecting, cleaning, and preprocessing large datasets, ensuring data ...

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Remote Data Cleaning information

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

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

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

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.
What are the most commonly searched types of Data Cleaning jobs in Reston, VA? The most popular types of Data Cleaning jobs in Reston, VA are:
What are popular job titles related to Remote Data Cleaning jobs in Reston, VA? For Remote Data Cleaning jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleaning jobs in Reston, VA look for? The top searched job categories for Remote Data Cleaning jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data Cleaning jobs? Cities near Reston, VA with the most Remote Data Cleaning job openings:
Infographic showing various Remote Data Cleaning job openings in Reston, VA as of June 2026, with employment types broken down into 81% Full Time, 12% Part Time, and 7% Temporary. Highlights an 100% Remote job distribution.
Mid-level Data Scientist

Mid-level Data Scientist

2 Twelve Solutions

Reston, VA โ€ข On-site, Remote

Full-time

Posted 15 days ago


Job description

Overview

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical ITย solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams.ย Bcore Labs accelerates innovation with rapid prototyping, hardened solutions,ย and transformative architectures. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. We seek a Mid-level Data Scientist to support a client in hybrid remote / Reston, VA.

Responsibilities

What you get to do everyday:

  • Support the Advanced Data Consortium (ADC), a member-driven program that enables participating organizations to share, analyze, and act on complex data sets across a secure, cloud-hosted environment.
  • Contribute to a SAFe/Scrum delivery team, participating in sprint planning, standups, reviews, and retrospectives.
  • Analyze large and complex structured and unstructured data sets to identify trends, patterns, and anomalies that support member decision-making.
  • Build and maintain automated data collection and ingestion pipelines using AWS GovCloud services.
  • Develop and refine predictive models and machine learning algorithms, including ensemble approaches, to address Key Intelligence Questions (KIQs) posed by ADC members.
  • Design and deliver data visualizations that communicate findings clearly to both technical teams and non-technical stakeholders.
  • Support the ADC member directory and opt-in/opt-out data governance framework, ensuring data is surfaced appropriately based on member permissions.
  • Partner with the ADC Portal engineering team to process member data samples and match against customer requirements, in coordination with the program's vendor management team.
  • Propose data-driven solutions and analytic strategies in response to evolving member requirements.
  • Assist in developing and documenting data suitability processes, tracking analytic requirements, and conducting follow-up engagements with customer and vendor on technical access and quality issues.
Qualifications

Required Qualifications:ย  ย 

  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical discipline; equivalent combination of education, technical training, or military experience will be considered.
  • 3 to 5 years of experience in a data science, data analytics, data engineering, or related analytical role.
  • Experience working with or supporting U.S. government programs, federal agencies, or the Intelligence Community is strongly preferred.
  • Proficiency in Python for data analysis, automation, and pipeline development.
  • Proficiency in SQL for querying, joining and transforming data in relational stores such as PostreSQL.
  • Experience building and managing automated data pipelines and collection workflows on AWS GovCloud (e.g., Lambda, Glue, S3, Step Functions).
  • Ability to preprocess, clean, and prepare both structured and unstructured data sets for analysis.
  • Experience developing machine learning models and applying data visualization techniques to communicate analytical results.
  • Familiarity with containerized environments and microservices architecture.
  • Working knowledge of access management and data governance principles, including role-based permissions and secure data sharing practices.
  • Strong written and verbal communication skills, with the ability to present findings to varied audiences.
  • Ability to work independently and manage multiple priorities in a fast-paced program environment.

Desired Qualifications:ย ย 

  • Prior experience supporting Intelligence Community programs or military intelligence organizations.
  • Familiarity with consortium, membership, or directory-based data platforms and opt-in/opt-out data governance models.
  • Experience with AWS SageMaker or similar cloud-native ML toolsets within a GovCloud environment.
  • Experience building data pipelines using Apache Spark, Kafka, or Apache NiFi.
  • Knowledge of IAM policies, S3 bucket security, VPN, and SSH access controls.
  • Experience with data visualization platforms such as Tableau, Power BI, or custom web-based dashboards.
What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Employment Type: FULL_TIME