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Remote Data Optimization Jobs in Virginia (NOW HIRING)

Edgesource

Data Engineer

Chantilly, VA · On-site +1

$117.20K - $140.80K/yr

Data Management & Optimization * Collect, clean, and validate large volumes of structured and ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113.50K - $136.30K/yr

Data Management & Optimization * Collect, clean, and validate large volumes of structured and ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122.30K - $146.80K/yr

Performance Optimization: Continuously monitor and optimize data processes and infrastructure for ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122.60K - $147.20K/yr

Performance Optimization: Continuously monitor and optimize data processes and infrastructure for ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122.60K - $147.20K/yr

Performance Optimization: Continuously monitor and optimize data processes and infrastructure for ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments ... for optimal business operations and services, ensuring efficiency and increased productivity.

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering ... Support implementation or optimization of Enterprise Data Resource Management Systems (EDRMS) and ...

Syms Strategic Group, LLC (SSG)

AWS Data Engineer

Roanoke, VA · Remote

$112.40K - $134.90K/yr

Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Security ... Evaluate and commend the optimal AWS-native data storage and query architecture for the XML object ...

Syms Strategic Group, LLC (SSG)

AWS Data Engineer

Richmond, VA · Remote

$113.30K - $136.10K/yr

Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Security ... Evaluate and commend the optimal AWS-native data storage and query architecture for the XML object ...

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Remote Data Optimization information

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

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

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

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Virginia? The most popular types of Data Optimization jobs in Virginia are:
What are popular job titles related to Remote Data Optimization jobs in Virginia? For Remote Data Optimization jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Virginia look for? The top searched job categories for Remote Data Optimization jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Optimization jobs? Cities in Virginia with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Virginia as of May 2026, with employment types broken down into 63% Full Time, 12% Part Time, 8% Temporary, and 17% Contract. Highlights an 100% Remote job distribution.
Data Engineer

Data Engineer

Edgesource

Chantilly, VA • On-site, Remote

$117.20K - $140.80K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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.
  • Develop and implement web scraping and data ingestion workflows to collect open-source data, integrating content and producing structured datasets and visualizations for analytics and stakeholder consumption.
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.
APIs, Containers & CI/CD
  • Integrate with REST APIs.
  • Utilize Docker, Kubernetes, Git, and CI/CD pipelines to deploy and manage workflows.
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 or by phone at (703) 837-0550.

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