Staff Data Engineer

Awetomaton is a Dayton-based defense startup specializing in satellite collection and is seeking a Staff Data Engineer to support a new customer. The role involves building and maintaining data pipelines and designing scalable data systems for enterprise data services.

Responsibilities:

• Build and maintain the ingestion, curation, and metadata-enrichment pipelines that power enterprise data catalog and discovery services
• Design and operate scalable data systems that transform raw and source data into reliable, well-structured datasets for catalog, search, and downstream mission use
• Communicate effectively in both written and verbal form with peers & decision makers
• Demonstrate initiative when faced with limited guidance or ambiguous requirements
• Strong understanding of cloud data pipelines, data warehousing solutions, and ETL/ELT orchestration tools
• Proficient in defining data standards, data frameworks, and ensuring data quality

Requirements:

• Bachelor of Science in Data Science, Computer Science, Information Systems, or related discipline
• Proficiency in Python, SQL, Spark, or similar data-centric technologies
• Experience with orchestration tools (Airflow, Dagster, Argo Workflow)
• Experience designing data lake and/or data warehouse structures
• Strong understanding of data modeling, data quality frameworks, schema evolution, and lineage
• Understanding of large-scale, cost-efficient data processing
• Comfort working with containers and cloud-native deployment
• Strong ability to translate complex technical concepts for non-technical audiences
• DoD Top Secret clearance is required
• Master of Science in Data Science, Computer Science, Information Systems, or related field
• Familiarity with data management/governance platforms
• Cloud & platform certifications (AWS Solutions Architect, AWS Certified Data Analytics, Certified Kubernetes Application Developer, etc.)
• Background in working with federal government, Department of Defense, and/or the Intelligence Community