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Data Assistant Jobs in Quantico, VA (NOW HIRING)

Data Engineer

Centreville, VA · Hybrid

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer

Annandale, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Engineer

Lorton, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Engineer

Fairfax, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Stories - Document and visualize data both temporally and spatially to assist in data integrity checks, ask the next question, and display analytical assessments. * Scientific Discipline ...

Showing results 41-60

Data Assistant information

What is a data assistant?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What are the key skills and qualifications needed to thrive as a data assistant, and why are they important?

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.

What are some common challenges data assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

What cities near Quantico, VA are hiring for Data Assistant jobs?

Cities near Quantico, VA with the most Data Assistant job openings:

Data Engineer

Edgesource

Centreville, VA • Hybrid

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

Company Overview:
For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work.

Position Overview:

Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data, client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client.

Development is performed on client site.

Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS Office files.
  • Build scalable data architectures to support analytics and machine learning workloads.
  • Optimize data processing and queries for performance and cost efficiency in AWS S3.
  • Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability.

Data Management & Optimization

  • Collect, clean, and validate large volumes of structured and unstructured data.
  • Track data versions, implement data quality checks, and ensure data reliability.
  • Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implement data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

  • Work closely with Data Scientists, Analysts, and stakeholders to understand data requirements.
  • Prepare clean, structured, and feature-ready datasets for analytics and machine learning.
  • Support feature engineering, aggregations, and transformations at scale.
  • Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.

Documentation & Communication

  • Document pipelines, data schemas, and transformations clearly.
  • Communicate technical concepts effectively with cross-functional teams.
  • Participate in code reviews and promote best practices across the team.

Required Qualifications:

  • 3–5 years +  of professional experience in data engineering or related roles.
  • Strong collaboration skills to work effectively with Data Scientists, Analysts, and Engineering teams.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Detail-oriented, curious, and committed to data quality.
  • Capable of managing multiple priorities in a fast-paced environment.

Technical Skills

  • Python, SQL, and PySpark (highly desired) for data processing and pipeline development.
  • Elastic/OpenSearch for search and analytics solutions.
  • Experience with AWS cloud services and Linux environments.
  • Git for version control and collaborative development.
  • Understanding of machine learning workflows and MLOps concepts.

Working at Edgesource:
As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to include software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation.

At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include:

- Flexible PTO Policy + 11 Paid Holidays -
- Flexible Work Schedules (Remote / Hybrid) -
- Medical / Dental / Vision / Flexible Spending Account (FSA) -
- 401k Plan with Match -
- Tuition & Professional Development Support -
- Commuter Benefits -
- Bonus & Employee Referral Programs -
- Career Growth Opportunities -

Disclaimer:

Edgesource Corporation is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Edgesource is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact our Recruiting Department by email at recruiting@edgesource.com or by phone at (703) 837-0550.