Data Engineer II

ApplyLogic 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 II to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area). This individual will support enterprise data infrastructure, database operations, data integration, and data pipeline activities. The position will work with SQL, databases, ETL/ELT processes, and related data technologies to ensure reliable data processing and availability. The ideal candidate is a strong problem solver who can troubleshoot technical issues, work across multiple systems, and collaborate effectively with technical and business teams.

Work Location:

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

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

Primary Roles and Responsibilities:

• Support the administration, maintenance, and day-to-day operation of enterprise data infrastructure and database environments.
• Develop, maintain, and execute SQL queries to retrieve, validate, transform, and analyze data.
• Support the development, maintenance, and monitoring of ETL/ELT processes and data pipelines.
• Assist with data integration activities across databases, applications, and other enterprise systems.
• Monitor data processes and infrastructure to identify performance issues, errors, and potential data quality concerns.
• Troubleshoot and resolve issues related to databases, data pipelines, data transfers, and data processing.
• Perform data validation and quality checks to ensure data is accurate, complete, and available to downstream systems and users.
• Document data processes, technical procedures, configurations, and troubleshooting activities.
• Work with developers, analysts, database administrators, and other technical teams to resolve data-related issues and support business requirements.
• Assist with performance tuning, optimization, and improvements to data processing and database operations.
• Support scheduled data loads, recurring processing activities, and operational data management tasks.
• Follow established security, configuration management, change management, and data governance practices.
• Participate in testing, implementation, and troubleshooting of enhancements to data infrastructure and integration processes.

Required Education, Experience, & Skills:

• Bachelor's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or a related technical field.
• Equivalent combination of education, training, and relevant professional experience may be considered.
• 2+ years of experience in data engineering, database administration, data integration, ETL/ELT, or a related technical discipline.
• Strong SQL development and database skills.
• Experience with relational databases and enterprise data environments.
• Experience developing, maintaining, or troubleshooting ETL/ELT processes and data pipelines.
• Understanding of data integration concepts and system-to-system data exchange.
• Experience troubleshooting data processing, database, and pipeline issues.
• Ability to analyze technical problems, identify root causes, and implement effective solutions.
• Experience working with structured data and data transformation processes.
• Strong documentation, communication, and collaboration skills.
• Ability to work independently and manage multiple priorities in a technical environment.

Preferred Qualifications:

• Experience with SQL Server, Oracle, PostgreSQL, or similar relational database platforms.
• Experience with cloud data platforms such as AWS or Azure.
• Experience with data integration or ETL tools such as SSIS, Informatica, Talend, Azure Data Factory, or similar technologies.
• Experience developing or consuming REST APIs.
• Experience with data warehousing and dimensional data modeling.
• Experience with PowerShell, Python, or other scripting languages.
• Experience with enterprise data governance and data quality practices.
• Experience supporting large-scale or complex enterprise environments.
• Experience supporting U.S. government or federal contracting en