Senior Data Engineer

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