Job Requirements Tysons, VA Secret Polygraph not specified Career Level not specified $110,000 - $160,000 Job Description Data Engineer - Enterprise Data Products Position Overview We are seeking an experienced Data Engineer to support a high-visibility federal modernization initiative focused on building authoritative enterprise data products that drive mission operations, analytics, and decision-making. This role will be responsible for architecting and developing scalable data solutions, including data pipelines, models, and enterprise data frameworks within modern data platforms. This is a senior-level individual contributor position for an engineer who can make sound architectural decisions, develop production-grade data solutions, and help elevate engineering standards across the organization. The program offers the opportunity to work on complex data challenges supporting large-scale operational environments, leveraging modern technologies and advanced analytics platforms while collaborating with stakeholders across technical and business domains. Key Responsibilities
- Own the architecture, design, and implementation of scalable data pipelines and enterprise data products
- Integrate, transform, and manage data from multiple enterprise and operational data sources
- Develop and maintain data models, ontologies, and data structures that support applications, reporting, analytics, and decision-making
- Design solutions that emphasize data quality, governance, lineage, observability, security, and long-term maintainability
- Establish engineering standards for testing, source control, deployment, monitoring, and operational support
- Build and optimize large-scale data processing workflows and data integration solutions
- Partner closely with software engineers, product teams, analysts, and business stakeholders to deliver impactful data products
- Participate in architectural reviews and provide technical leadership on complex data initiatives
- Mentor team members and contribute to engineering best practices across the organization
- Troubleshoot and resolve complex data integration, quality, and performance challenges Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical discipline, or equivalent professional experience
- 8+ years of experience designing and developing production-grade data engineering solutions
- Strong proficiency with Python, SQL, and modern data engineering methodologies
- Experience designing and implementing data pipelines and enterprise data products on large-scale analytics or data platforms
- Experience with data modeling, ontology design, data governance, data quality, and lineage management
- Strong software engineering fundamentals, including testing, version control, CI/CD, and monitoring practices
- Experience supporting complex enterprise or government environments
- Ability to make architectural decisions and drive technical solutions from concept through deployment Preferred Qualifications
- Experience working within large-scale operational, logistics, acquisition, financial, or program management environments
- Experience with modern enterprise data platforms, analytics ecosystems, or digital transformation initiatives
- Experience with distributed data processing technologies such as PySpark or similar frameworks
- Knowledge of cloud-native architectures, DevSecOps practices, and infrastructure-as-code concepts
- Experience developing mission-critical data products that support operational decision-making and business intelligence initiatives
- Strong stakeholder engagement and communication skills with both technical and non-technical audiences Why Join the Program
- Opportunity to build enterprise-scale data products that directly support mission outcomes
- High visibility role with significant ownership and technical influence
- Modern technology environment leveraging advanced analytics and data engineering platforms
- Long-term program stability and growth potential
- Collaborative team focused on innovation, engineering excellence, and continuous improvement
- Ability to work on impactful data initiatives that drive operational and business decision-making across the organization group id: kforcecx Log in to view the job poster Apply now