Jobs · Information Technology · Virginia

Data Engineer

D&G Solutions · Fort Belvoir, VA · 3 days ago
On-siteInformation TechnologyFull-time

About the role

The role focuses on building and maintaining modern data pipelines, integrating enterprise datasets, and enabling analytics initiatives within a secure DoD environment. This position is ideal for a hands-on engineer who enjoys solving data integration challenges, improving data quality, and supporting analytics teams with clean, reliable, well-structured data.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured datasets.
  • Integrate data from enterprise systems including ERP platforms, operational databases, and legacy systems.
  • Develop and optimize SQL queries and data models to support analytics and reporting needs.
  • Implement data validation, cleansing, and monitoring processes to ensure data integrity.
  • Support cloud or hybrid data environments (AWS, Azure, or on-prem infrastructure).
  • Collaborate with analysts and developers to define data requirements and translate them into technical solutions.
  • Support AI/ML initiatives by preparing and structuring datasets for downstream model development.
  • Contribute to documentation of data architecture, workflows, and security compliance practices.
  • Troubleshoot performance and data issues and implement corrective solutions.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field.
  • 5+ years of experience building and supporting data pipelines in enterprise environments.
  • Strong SQL proficiency and experience with relational databases.
  • Experience developing ETL/ELT processes and working with structured and unstructured data.
  • Experience with Python or similar scripting language.
  • Experience working in secure Federal or DoD environments.

Preferred

  • Experience with cloud data services (AWS Redshift, RDS, EMR, Azure Data Services, etc.).
  • Experience supporting AI/ML data preparation workflows.
  • Familiarity with distributed processing frameworks (Spark, Kafka, etc.).
  • Experience supporting DLA or logistics modernization programs.

Benefits

Competitive salary | Comprehensive benefits | 401(k) | Bonus and profit sharing | Flexible hours | Education reimbursement | Generous paid time off

Pay

Salary range based on experience and qualifications.

Schedule

Onsite at Fort Belvoir, Virginia.

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