Key skills
PythonSQLSparkAirflowDagsterArgo WorkflowData lake designData warehouse designData modelingData quality frameworksSchema evolutionData lineageCloud data pipelinesData warehousingETL/ELT orchestrationContainersCloud-native deploymentTechnical translationETLELTData WarehousingData LakeAnalyticsAWSKubernetes
About this role
Awetomaton is a Dayton-based defense startup that builds software enabling informed decisions from raw intel data. They are seeking a Staff Data Engineer to support a new customer by building and maintaining data pipelines for enterprise data catalog and discovery 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