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Data Engineer IV

Job in Vienna, Fairfax County, Virginia, 22184, USA
Listing for: ApplyLogic Consulting Group, LLC
Full Time position
Listed on 2026-08-21
Job specializations:
  • IT/Tech
    Data Engineering, Database Administrator
Salary/Wage Range or Industry Benchmark: 110000 - 155000 USD Yearly USD 110000.00 155000.00 YEAR
Job Description & How to Apply Below

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 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…
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