Data Engineer III

Apply Logic is a fast-paced Service-Disabled Veteran-Owned Small-Business, headquartered in Vienna, VA. Our people are our greatest asset, and our company culture is grounded on that belief. We offer challenging and interesting work in a friendly and supportive environment. Through prime and subcontracts, we deliver best-in-class expertise to solve complex technical problems.

We're looking for a talented Data Engineer III to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area). This individual will support the development, integration, and operation of enterprise data environments. You will work across databases, data pipelines, ETL/ELT processes, and data integration solutions to ensure data is reliable, accessible, and available to support business and operational needs.

• Onsite – Northern Virginia (Alexandria/Falls Church area)

Must be a U.S. Citizen with the ability to obtain and maintain Government security clearance.

• Independently develop, maintain, and manage enterprise data infrastructure, databases, and data processing environments.
• Design, develop, and maintain SQL queries, stored procedures, data models, and database objects to support operational and analytical requirements.
• Develop, maintain, and optimize ETL/ELT processes and data pipelines supporting the movement and transformation of data across enterprise systems.
• Design and implement data integration solutions that enable reliable data exchange between databases, applications, and other enterprise systems.
• Monitor data pipelines, database environments, and scheduled processing activities to identify performance issues, failures, and potential data quality concerns.
• Independently troubleshoot and resolve complex issues involving databases, ETL processes, data pipelines, integrations, and data processing workflows.
• Perform root-cause analysis of recurring data and infrastructure issues and implement corrective actions to improve reliability and performance.
• Conduct data validation and quality checks to ensure data is accurate, complete, consistent, and available to downstream systems and users.
• Analyze database and pipeline performance and implement optimization strategies to improve processing efficiency and system reliability.
• Support the design and implementation of data migration, transformation, and integration activities across multiple systems and data sources.
• Develop and maintain technical documentation for data architectures, data flows, integration processes, database configurations, and operational procedures.
• Collaborate with data analysts, developers, database administrators, architects, and other technical stakeholders to translate business and technical requirements into effective data solutions.
• Participate in the design, testing, implementation, and maintenance of enhancements to enterprise data environments.
• Support release, change management, configuration management, and operational processes associated with data infrastructure and integration solutions.
• Identify opportunities to improve data processes, automation, system performance, and operational efficiency.
• Provide technical guidance and knowledge sharing to less-experienced team members.
• Contribute to the development and implementation of standards, procedures, and best practices for enterprise data engineering and integration.
• Ensure data engineering activities are performed in accordance with applicable security, privacy, data governance, and organizational requirements.

• Bachelor's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or a related technical field, or equivalent combination of education and relevant professional experience.
• 4+ years of professional experience in data engineering, database engineering, data integration, ETL/ELT, or a related discipline.
• Strong proficiency in SQL and experience working with relational databases.
• Experience developing, maintaining, and troubleshooting ETL/ELT processes and data pipelines.
• Experience integrating data across…