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Data Engineer

Job in Virginia Beach, Virginia, 23450, USA
Listing for: Network Designs, Inc.
Full Time position
Listed on 2025-12-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer 2

Join to apply for the Data Engineer 2 role at Network Designs, Inc.

About NDi

Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas.

Military

Veterans Encouraged to Apply

Job Description

The Data Engineer will be responsible for supporting the design, development, and maintenance of data pipelines and architectures. This role involves working closely with senior data engineers, data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for performance. The candidate will gain hands‑on experience in data engineering and develop skills in managing data pipelines, data integration, and database management.

Requirements
  • U.S. Citizenship required.
  • Must be able to obtain and maintain a Public Trust clearance.
  • This position is remote but may require occasional onsite meetings in McLean, VA.
  • You can be based out of the following states: AZ, DC, FL, GA, OH, ME, MD, SC, TX, UT, VA, NC, OK, WV.
Qualifications And Experience
  • Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.
  • At least 3 years of relevant experience in data engineering or a related role.
  • Proficiency in data engineering tools and technologies such as SQL, Python, or similar.
  • Basic understanding of data warehousing and big data technologies.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (preferred but not required).
  • Strong analytical and problem‑solving skills.
  • Attention to detail and accuracy.
  • Good communication skills and the ability to work collaboratively in a team.
Responsibilities Data Pipeline Development
  • Assist in designing, developing, and maintaining scalable and efficient data pipelines.
  • Support real‑time or batch data processing tasks.
Data Architecture
  • Help implement data architectures that support data processing and analytics needs.
  • Assist in optimizing data storage solutions for performance, scalability, and security.
Data Integration
  • Assist in integrating data from multiple sources, ensuring data quality and consistency.
  • Help develop ETL (Extract, Transform, Load) processes to move and transform data as required.
Database Management
  • Support the management of database systems and ensure they are optimized for data retrieval and processing.
  • Assist in maintaining and enhancing database schemas and developing advanced database queries.
Collaboration
  • Work closely with senior data engineers, data scientists, analysts, and other stakeholders to understand data requirements and deliver relevant solutions.
Performance Monitoring and Optimization
  • Monitor data infrastructure performance and identify areas for improvement under guidance.
  • Implement performance tuning measures to enhance the efficiency of data processing.
Security and Compliance
  • Support data security measures and ensure compliance with relevant regulations and standards.
  • Assist in implementing data governance policies and procedures.
Documentation and Best Practices
  • Create and maintain comprehensive documentation for data pipelines, architectures, and processes.
  • Follow best practices in data engineering, including version control, testing, and code quality.
Continuous Improvement
  • Stay updated with the latest industry trends and technologies in data engineering.
  • Continuously seek opportunities to improve data infrastructure and processes.
Compensation and Benefits

At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide…

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