Data Engineer

Data EngineerBoston, Massachusetts, United States Job Openings Data EngineerJob Title: Data Engineer - AI PlatformLocation: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DCNumber of openings: 1Experience: 5+ years of professional experience as a data engineerSalary: $165,000 - $175,000Clearance: Secret (prefer TS)Position SummaryWe are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge initiatives involving generative AI, large-scale data systems, and cloud-native architectures.You will partner with a multidisciplinary team of engineers, data scientists, and product stakeholders to design and implement scalable data infrastructure. The primary focus will be enabling platform capabilities tailored for government and defense-related environments.Key ResponsibilitiesDesign and build robust data ingestion and processing pipelines to support AI and GenAI applicationsDevelop and maintain high-quality Python-based data workflows, including testing and validationCollaborate with cross-functional teams including software engineers, data scientists, and UI/UX designersImplement and enhance CI/CD pipelines (including GitHub Actions) to streamline deployment and integration processesWork across multi-cloud environments (AWS primarily; exposure to Azure and GCP is beneficial)Utilize containerization technologies (Docker) to support scalable and portable deploymentsContribute to the development and optimization of data systems used by generative AI applicationsEnsure performance, reliability, and scalability of data pipelines through monitoring and diagnosticsWhat You'll ExperienceOpportunity to work on high-impact AI platform initiativesA fast-paced, performance-driven environment with strong technical mentorshipContinuous learning through structured development programs and real-world problem solvingA collaborative culture that values innovation, ownership, and diverse perspectivesExposure to globally distributed teams and modern engineering practicesCompetitive compensation along with a comprehensive benefits packageRequired QualificationsU.S. Citizenship is requiredPrior experience supporting defense or government environments, including handling classified or sensitive dataActive Secret clearance required (Top Secret or higher preferred)5+ years of experience in data engineering, with a strong focus on cloud-based solutionsTechnical Skills & ExpertiseStrong proficiency in Python for data engineering and pipeline developmentHands-on experience with AWS-based data engineering (experience with Azure or GCP is a plus)Deep understanding of data modeling, data ingestion frameworks, and pipeline architectureExperience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databasesExpertise in writing clean, maintainable, and testable code, including automation and error handling best practicesPractical experience with Docker and containerized workflowsStrong background in data pipeline performance tuning, monitoring, and troubleshootingExcellent analytical and problem-solving capabilitiesEffective communication skills and ability to collaborate within cross-functional teams