Staff Data Engineer

Awetomaton is seeking a Staff Data Engineer to support a new customer by building and maintaining the ingestion, curation, and metadata-enrichment pipelines that power enterprise data catalog and discovery services.

In this role, you will design and operate scalable data systems that transform raw and source data into reliable, well-structured datasets for catalog, search, and downstream mission use.

The ideal candidate will possess a BS degree or higher and have 5+ years of experience.

This position can be performed nationwide but we strongly prefer personnel local to Dayton, OH or St Louis, MO.

DoD Top Secret clearance is required.

For highly qualified candidates, we will sponsor.

We are looking for a candidate to start in the August 2026 timeframe.

Criteria for success

• 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

Req uired Experience and Skills

• 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

• 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.)