ZipRecruiter

Log In

2

Remote Data Manager Jobs in Silver Spring, MD (NOW HIRING)

Deckers

Director, Data Governance

Washington, DC · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Draft, publish, and maintain standards covering data quality, metadata management, privacy ...

West 4th Strategy

Data Scientist (Remote)

Washington, DC · Remote

Demonstrated experience building end-to-end data pipelines in Databricks, with a proven ability to integrate existing legacy systems LOCATION * Remote - Eastern Standard Time zone - preferred but not ...

New

SAIC

Enterprise Data Architect

Chantilly, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an Enterprise Data ... The qualified candidate will assist and advise Government managers to develop and maintain a ...

System One

HR Data Analytics

Merrifield, VA · Remote

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... The Technical Data Steward is responsible for managing metadata, data lineage, data quality, data ...

AAPD

Disability Data Fellow

Washington, DC · On-site +1

$68K/yr

Location: Remote * Expected Start Date: immediately * Salary: $68,000 AAPD is seeking a highly ... Experience working with data management in a professional, academic, advocacy, or research setting

previous page

Showing results 41-60

All JobsData JobsRemote Data Manager JobsRemote Data Manager Jobs in Silver Spring, MD

Remote Data Manager information

See Silver Spring, MD salary details

$32K

$100.4K

$177.8K

How much do remote data manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data manager in Silver Spring, MD is $100,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $129,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Manager vs Data Analyst?

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

What are the key skills and qualifications needed to thrive as a remote data manager?

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What is a remote data manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

What are some typical challenges faced by remote data managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.
What are popular job titles related to Remote Data Manager jobs in Silver Spring, MD? For Remote Data Manager jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Manager jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Manager jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Manager jobs? Cities near Silver Spring, MD with the most Remote Data Manager job openings:
Remote Data Manager jobs near you
Infographic showing various Remote Data Manager job openings in Silver Spring, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 100% Remote job distribution, with an average salary of $100,426 per year, or $48.3 per hour.

Public Health Data Analyst

CyberData Technologies

Herndon, VA • Remote

Other

Re-posted 27 days ago

Job description

Public Health Data Analyst
DNPAO Data Analysis and Management Project

Location: Remote (Atlanta Metropolitan Area Preferred)

*** Must be able to Obtain and Maintain a CDC Public Trust Clearance ***

Job Description

CyberData Technologies is seeking an experienced Public Health Data Analyst to support the Centers for Disease Control and Prevention (CDC), Division of Nutrition, Physical Activity, and Obesity (DNPAO). The selected candidate will provide advanced data management, statistical analysis, and epidemiologic support for public health initiatives focused primarily on breastfeeding, child nutrition, obesity prevention, and related chronic disease prevention programs.  This position will support DNPAO's efforts to generate high-quality, reproducible analyses and reports using large national public health datasets. The successful candidate will create and manage complex data systems, develop statistical analysis plans, perform sophisticated epidemiologic analyses, and communicate findings that inform public health programs, policy decisions, and national surveillance activities.  The ideal candidate will possess extensive experience working with complex survey data, large public health datasets, advanced statistical methods, and data management practices within federal public health environments.

Job Responsibilities

Data Analysis Planning

  • Develop comprehensive statistical analysis plans that support epidemiologic research and surveillance activities.
  • Identify research questions and hypotheses aligned with programmatic and policy objectives.
  • Determine appropriate inclusion and exclusion criteria for analyses.
  • Evaluate datasets and identify variables necessary to address research objectives.
  • Select appropriate statistical methodologies and software tools to support analyses.
  • Develop table shells, data specifications, and documentation supporting analytical activities.
  • Document all data preparation, transformation, and analytical processes to ensure reproducibility and transparency.

Data Management

  • Collect, review, code, validate, manipulate, and maintain large public health datasets.
  • Create and maintain data dictionaries and metadata documentation.
  • Develop and manage working datasets and analysis files.
  • Perform data cleaning, quality assurance, validation, and integrity checks.
  • Manage data related to breastfeeding, child nutrition, obesity, and other DNPAO program areas.
  • Maintain and analyze data from national surveillance systems and public-use datasets.
  • Access and utilize data files, questionnaires, and documentation from CDC and National Center for Health Statistics (NCHS) data collection systems.

Statistical Analysis and Interpretation

  • Conduct univariable, bivariable, and multivariable statistical analyses using complex survey data methodologies.
  • Analyze large national datasets and interpret findings for technical and non-technical audiences.
  • Produce recurring surveillance reports, statistical summaries, dashboards, and data visualizations.
  • Support annual Healthy People 2030 reporting activities related to maternal and child health indicators.
  • Develop quarterly updates for DNPAO Data, Trends, and Maps reporting systems.
  • Respond to federal partner requests, state-level inquiries, and ad hoc data requests.
  • Conduct analyses using longitudinal and cross-sectional datasets to support public health decision-making.
  • Prepare technical reports, manuscripts, presentations, and summary documents communicating analytical findings.
  • Collaborate with CDC scientists, epidemiologists, program staff, and external stakeholders to support surveillance and evaluation activities.

Public Health Surveillance Support

  • Support analyses involving national public health surveillance systems and large-scale survey datasets.
  • Provide technical expertise related to breastfeeding surveillance, nutrition monitoring, obesity prevention, physical activity, and maternal and child health indicators.
  • Assist in developing evidence-based recommendations that support public health programs and policy initiatives.
  • Ensure analytical methods adhere to CDC standards and best practices for complex survey analysis.

Required Skills and Experience

  • Master's degree or higher in Epidemiology, Biostatistics, Public Health, Statistics, Data Science, Health Sciences, or a related quantitative field.
  • Minimum of three (3) years of professional experience supporting epidemiologic research, public health surveillance, statistical analysis, or related analytical activities.
  • Advanced expertise using statistical software including SAS, SPSS, R, SUDAAN, Epi Info, or similar analytical tools.
  • Extensive experience managing and analyzing large, complex survey datasets that utilize weighting, clustering, and stratification methodologies.
  • Strong knowledge of epidemiologic methods, surveillance systems, and quantitative public health research.
  • Demonstrated experience developing statistical analysis plans and managing large datasets from acquisition through reporting.
  • Experience conducting multivariable statistical analyses and interpreting findings for public health applications.
  • Ability to independently manage multiple analytical projects and respond to ad hoc data requests.
  • Strong written and verbal communication skills, including technical report development and presentation of findings.
  • Experience developing reproducible analytical workflows and maintaining detailed documentation.

Preferred Skills and Experience

  • Experience supporting the Centers for Disease Control and Prevention (CDC) or other federal public health agencies.
  • Experience analyzing National Health and Nutrition Examination Survey (NHANES) data.
  • Experience working with the National Immunization Survey (NIS), National Survey of Children’s Health, National Vital Statistics System (NVSS), Youth Risk Behavior Surveillance System (YRBSS), or similar national surveillance systems.
  • Knowledge of breastfeeding surveillance, maternal and child health, nutrition, obesity prevention, and chronic disease epidemiology.
  • Experience supporting Healthy People objectives, public health surveillance reporting, and policy-related analyses.
  • Familiarity with CDC data management standards and public-use datasets.
  • Experience developing data visualizations, dashboards, and automated reporting processes.
  • Experience working with Azure products (i.e. Databricks), Python and GitHub.

Apply