Data Engineer IV

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 IV to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area). This individual will serve as a senior technical resource responsible for designing, implementing, and supporting complex enterprise data solutions. You will work across data infrastructure, databases, data pipelines, ETL/ELT, and system integration while providing technical leadership to ensure data environments are reliable, scalable, secure, and efficient.

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:

• Lead the design, development, implementation, and optimization of enterprise data infrastructure and data engineering solutions.
• Provide senior technical expertise for enterprise databases, data platforms, ETL/ELT processes, data pipelines, and data integration environments.
• Design and oversee complex data pipelines and integration solutions supporting multiple systems, applications, and data sources.
• Develop and optimize advanced SQL queries, stored procedures, database objects, and data processing solutions.
• Establish technical approaches and best practices for data ingestion, transformation, integration, storage, and processing.
• Lead the troubleshooting and resolution of complex and high-impact issues involving databases, data pipelines, integrations, and enterprise data infrastructure.
• Conduct root-cause analysis of complex technical issues and develop sustainable solutions to improve system reliability, scalability, and performance.
• Evaluate existing data environments and recommend improvements to architecture, performance, automation, scalability, and operational efficiency.
• Provide technical leadership for data migration, transformation, integration, and modernization initiatives.
• Develop and implement strategies for monitoring data pipelines, database environments, and data processing activities.
• Establish and enforce standards for data engineering development, testing, deployment, documentation, and operational support.
• Collaborate with architects, developers, database administrators, analysts, governance teams, and business stakeholders to develop enterprise data solutions.
• Translate complex technical and business requirements into scalable and sustainable data engineering solutions.
• Provide technical guidance, mentoring, and knowledge transfer to Data Engineers and other technical staff.
• Review technical designs, code, data models, integration approaches, and implementation plans for quality and adherence to established standards.
• Identify opportunities to automate data processes, improve operational efficiency, and reduce manual intervention.
• Develop and maintain technical architecture documentation, data flows, integration patterns, standards, and operational procedures.
• Support security, data governance, configuration management, change management, and compliance requirements applicable to enterprise data environments.

Required Education, Experience, & Skills:

• Bachelor's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or a related technical field, or an equivalent combination of education and relevant professional experience.
• 7+ years of progressively responsible experience in data engineering, database engineering, data integration, ETL/ELT, enterprise data infrastructure, or a related discipline.
• Demonstrated experience designing, developing, and supporting enterprise-scale data solutions.
• Advanced proficiency in SQL and experience working with enterprise relational database platforms.
• Extensive experience designing, developing, and troubleshooting ETL/ELT processes and data pipelines.
• Demonstrated experience integrating data across multiple databases, applications, APIs, and enterprise systems.
• Experience designing and implementing data transformation, migration, and integration solutions.
• Strong understanding of data architecture, data modeling, data flows, and enterprise data environments.
• Demonstrated ability to troubleshoot complex technical issues and lead root-cause analysis.
• Experience optimizing database, pipeline, and data processing performance.
• Ability to evaluate technical approaches and recommend solutions based on scalability, performance, maintainability, and operational requirements.
• Experience developing technical standards, documentation, procedures, and best practices.
• Demonstrated ability to provide technical leadership and mentorship to other engineers and technical staff.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Ability to work independently, manage competing priorities, and provide technical direction in a complex enterprise environment.

Preferred Qualifications:

• Experience with SQL Server, Oracle, PostgreSQL, or other enterprise relational database platforms.
• Experience with enterprise ETL/data integration technologies such as SSIS, Informatica, Talend, Azure Data Factory, or similar platforms.
• Experience designing and implementing REST APIs, web services, or event-driven integrations.
• Experience with Python, PowerShell, Java, or other programming/scripting languages used for data engineering and automation.
• Experience with AWS, Azure, or other cloud data platforms and services.
• Experience with enterprise data warehouses, data lakes, lakehouses, and dimensional data modeling.
• Experience with data architecture and enterprise data platform modernization.
• Experience leading large-scale data migration or modernization initiatives.
• Experience implementing data quality, metadata, lineage, and data governance practices.
• Experience with Power BI, Tableau, or other business intelligence platforms.
• Experience with source control, CI/CD, DevOps, and automated deployment practices.
• Experience with containerization, orchestration, or cloud-native data technologies.
• Experience establishing technical standards, architecture patterns, or engineering best practices.
• Experience leading or mentoring technical teams.
• Experience supporting U.S. government or federal contracting programs.
• Active or previously held U.S. government security clearance.
• Relevant professional certifications in cloud, database, data engineering, architecture, or information technology.

The Perks of Being on Our Team
ApplyLogic offers competitive salaries with a robust Fortune-500 type benefits package. Some of the benefits you will receive when you join us are: 

• Employee Assistance Program
• 401K
• Medical/Dental/Vision Insurance
• Life/Short-Term Disability/Critical Illness/Accident Insurance
• 15 PTO Days 
• 11 Federal Holidays
• Up to $5K towards continuing education and/or professional development