Mission Technologies, a division of HII, is seeking a Mid/Senior Data Engineer to enhance a centralized data environment that supports financial transaction data transparency and accountability. The role involves designing data architectures, developing Python-based scripts, and ensuring data integrity to drive mission success in national security contexts.
Responsibilities:
- Designs, models, documents, and governs the logical and conceptual data architectures, relationships, and schema evolutions for complex, enterprise-scale applications in support of tracking and accountability reforms
- Analyzes current and emerging system requirements, then develops comprehensive technical, structural, and organizational specifications to enable auditable, transparent data flows
- Establishes and enforces data modeling standards, capacity planning, and performance optimization to support high-reliability DoW environments
- Develops robust Python-based scripts and ETL/ELT pipelines for efficient, secure data ingestion, transformation, and integration from diverse sources
- Leverages deep expertise in Relational Databases (SQL) for advanced querying, schema design, optimization, and data integrity assurance
- Operates within Agile/SAFe development frameworks to deliver iterative, high-value increments aligned with business priorities and DoW policies
- Provides technical guidance and mentorship to align development efforts with strategic FMS reform objectives, including enhanced tracking, oversight, and reporting
- Performs additional duties as assigned or required to advance mission goals
Requirements:
- Proven Python development experience, including building scalable data pipelines and automation solutions
- Ability to work independently while thriving in collaborative team settings
- Self-motivated initiator with strong problem-solving skills and a proactive approach
- Clearance: Must possess and maintain an active Secret clearance at the time of consideration
- Remote-eligible position; must align with Eastern Time Zone core business hours
- Designs, models, documents, and governs the logical and conceptual data architectures, relationships, and schema evolutions for complex, enterprise-scale applications in support of tracking and accountability reforms
- Analyzes current and emerging system requirements, then develops comprehensive technical, structural, and organizational specifications to enable auditable, transparent data flows
- Establishes and enforces data modeling standards, capacity planning, and performance optimization to support high-reliability DoW environments
- Develops robust Python-based scripts and ETL/ELT pipelines for efficient, secure data ingestion, transformation, and integration from diverse sources
- Leverages deep expertise in Relational Databases (SQL) for advanced querying, schema design, optimization, and data integrity assurance
- Operates within Agile/SAFe development frameworks to deliver iterative, high-value increments aligned with business priorities and DoW policies
- Provides technical guidance and mentorship to align development efforts with strategic FMS reform objectives, including enhanced tracking, oversight, and reporting
- Performs additional duties as assigned or required to advance mission goals
- Strong understanding of transactional data flows, financial management systems, and auditability requirements in DoW/security cooperation contexts
- Direct experience with ADVANA
- Advanced SQL proficiency for complex querying, performance tuning, database administration, and optimization
- Experience in SAFe Agile environments, including participation in PI planning, Scrum/Kanban ceremonies, and DevSecOps practices
- Candidate who resides in east coast