A-TEK, Inc. is a company that focuses on applying deep domain expertise across federal markets through innovation. They are seeking a Senior Data Engineer to support enterprise data modernization and cloud-native data engineering for Federal customers, focusing on designing scalable data platforms and automated data processing solutions.
Responsibilities:
- Design, develop, and optimize enterprise data warehouses and large-scale ETL/ELT pipelines
- Engineer cloud-native data processing solutions supporting structured, semi-structured, and unstructured data
- Develop scalable ingestion and transformation frameworks for high-volume and real-time data processing
- Support modernization of legacy data environments into cloud-based architectures
- Design and implement data models, schemas, and database structures optimized for analytics and reporting
- Develop metadata-driven automation, data quality validation, lineage tracking, and governance capabilities
- Build and maintain reporting, analytics, and dashboarding solutions supporting operational and executive decision-making
- Collaborate with architects, engineers, analysts, and business stakeholders to define technical requirements and implementation strategies
- Support AI/ML and advanced analytics initiatives through scalable data engineering and MLOps-ready infrastructure
- Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes
- Perform database tuning, query optimization, and performance engineering activities
- Support secure data management and compliance with Federal security and data governance requirements
- Provide technical leadership, mentoring, and engineering best practices across project teams
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
- 7+ years of experience in data engineering, data warehousing, database engineering, or related disciplines
- Strong experience designing and implementing ETL/ELT pipelines and enterprise data warehouse solutions
- Experience with distributed processing frameworks and cloud-native data ecosystems
- Strong experience with data modeling, database design, and dimensional modeling techniques
- Experience implementing data governance, metadata management, data quality, and data integrity controls
- Proficiency with SQL and Python-based data engineering and automation
- Experience with cloud data platforms and services in AWS, Azure, or Google Cloud
- Experience supporting large-scale, modern data modernization initiatives
- Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Experience collaborating across cross-functional teams in Agile or DevSecOps environments
- NOAA or broader Federal civilian agency experience
- Experience supporting scientific, environmental, geospatial, or research data environments
- Experience with GIS or geospatial data platforms
- Experience with AI/ML data engineering or MLOps support
- Experience with Infrastructure-as-Code and CI/CD automation
- Familiarity with metadata management, data catalogs, and enterprise governance frameworks
- Experience with real-time streaming or event-driven data architectures
- AWS or Azure certifications