Spear AI
Mission Data Engineer
Washington, DC · Full-time
No sponsorshipDetected 455 days ago
PythonSQLAWSCloud PlatformsMachine LearningSparkAirflowData EngineeringCybersecurity
About the role
- Handle data ingestion, transformation, and validation with auditable, secure processes.
- Ensure compliance with DIA's data governance and cross-domain security standards.
Responsibilities
- Design and manage secure data pipelines enabling ML and analytics workflows.
- Collaborate with mission engineers and data scientists to align infrastructure with operational objectives.
- Optimize data processing and storage for real-time and batch operations.
- Spear AI seeks a Data Engineer to build robust, secure data infrastructure supporting the an IC Task Force.
- The role involves creating resilient pipelines to power analytics and decision support systems.
- Primary Responsibilities: Design and manage secure data pipelines enabling ML and analytics workflows.
Requirements
- 3-7 years in data engineering, preferably within secure, high-side environments.
- Proficiency in Python, Spark, SQL, and data orchestration tools (e.g., Airflow).
- Experience with classified data management, secure networking, and infrastructure optimization.
- Required Experience: Active Secret clearance.
Nice to have
- Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S).
- Strong troubleshooting and optimization skills within complex operational settings.
- Preferred Experience: Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S).
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This listing is sourced directly from Spear AI's careers page and normalized into a canonical job model.