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Edgesource Corporation

Data Engineer

Edgesource Corporation

Data Engineer developing and maintaining cloud-based data systems for Edgesource Corporation. Integrating, migrating, and ensuring data protection across various platforms in a hybrid environment.

Posted 4/27/2026full-timeChantilly • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformTypeScript

About the role

Key responsibilities & impact
  • Design, develop, and maintain large-scale enterprise-level data systems using cloud-based architectures
  • Develop data integration solutions for a variety of data sources and formats
  • Ensure the integration of data from multiple sources, including internal and external systems, APIs, and third-party tools
  • Develop and implement data protection strategies, including data encryption, access controls, and disaster recovery plans
  • Manage and execute data migration projects, ensuring data integrity and accuracy during the migration process
  • Collaborate with cross-functional teams to define and execute data-related projects and initiatives
  • Perform data profiling, data cleansing, and data transformation tasks to ensure data quality and consistency
  • Develop and maintain documentation related to data architecture and data flows
  • Implement best practices for data management, including data modeling and data quality assurance
  • Continuously improve the efficiency, scalability, and reliability of data systems and processes
  • Stay up-to-date with industry trends and emerging technologies related to data engineering

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Data Science, Engineering or related field
  • Active TS/SCI clearance
  • Minimum of 5 years of experience in data engineering with a focus on large-scale enterprise level data systems
  • Proficient in cloud-based data technologies, such as AWS, Azure, or Google Cloud Platform
  • Demonstrated expertise in designing and building large scale enterprise-level data systems
  • Proven ability to integrate data from multiple sources and formats
  • Strong understanding of data protection and security best practices
  • Experience with data modeling, ETL processes, and data quality assurance
  • Excellent problem-solving skills and ability to work independently and as part of a team

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
data engineeringdata integrationdata migrationdata profilingdata cleansingdata transformationdata modelingETL processesdata quality assurancedata protection
Soft Skills
problem-solvingcollaborationindependenceteamwork
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in EngineeringActive TS/SCI clearance