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Remote Data Collection Jobs in Silver Spring, MD

Business Analyst II

Baltimore, MD ยท Remote

$70K - $88K/yr

Remote Employment Type: W2 Only Clearance Required: Public Trust Number of Positions: 1 Required ... Support the FDA FOI team in data collection activities using Microsoft Purview * Create and execute ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Data Collection and Preparation : Establish protocols for collecting, cleaning, and preprocessing ...

Streamline and automate data collection, validation, and reporting processes using Microsoft 365 ... Experience supporting or developing programs involving digital health technologies such as remote ...

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Remote Data Collection information

See Silver Spring, MD salary details

$16

$26

$32

How much do remote data collection jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote data collection in Silver Spring, MD is $26.16, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $26.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Collection position, and why are they important?

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What does a typical workday look like for someone in Remote Data Collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What is a Remote Data Collection job?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What are the most commonly searched types of Data Collection jobs in Silver Spring, MD? The most popular types of Data Collection jobs in Silver Spring, MD are:
What are popular job titles related to Remote Data Collection jobs in Silver Spring, MD? For Remote Data Collection jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Collection jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Collection jobs? Cities near Silver Spring, MD with the most Remote Data Collection job openings:
Infographic showing various Remote Data Collection job openings in Silver Spring, MD as of June 2026, with employment types broken down into 51% Part Time, and 49% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,418 per year, or $26.2 per hour.

Mid-level Data Scientist with Security Clearance

B/Core

Reston, VA โ€ข On-site, Remote

Other

Posted 5 days ago


Job description

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Bcore Labs accelerates innovation with rapid prototyping, hardened solutions, 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: * 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: * 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.