ANSER · 2 hours ago
Data Engineer
Reston, VA
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expANSER enhances national and homeland security by strengthening public institutions. The Data Engineer will design, build, and optimize enterprise-level data management systems to support Object-Based Intelligence (OBI) analytic processes and mission requirements.
ConsultingNational SecurityNon ProfitPublic SafetyRisk Management
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Manage complex, long-term projects involving the design, development, integration, and installation of new information systems, databases, and data services
Perform technical studies, systems analysis, and feasibility assessments to ensure designs meet user requirements and define specifications for new or existing data and content management solutions
Design, develop, integrate, install, and optimize data management capabilities, data integration solutions, and both relational and non-relational databases (e.g., PostgreSQL) to support enterprise ingestion, storage, retrieval, and analytics
Collaborate with team members to design, refine, implement, and maintain resilient, scalable ETL pipelines using industry-standard tools and frameworks (e.g., Apache NiFi)
Ensure ETL pipelines support secure data acquisition, normalization, enrichment, and delivery while meeting security controls, SLA requirements, and evolving data architecture needs
Collaborate with team members to design, implement, and maintain GraphQL APIs enabling flexible, efficient access and aggregation of data across distributed enterprise sources
Conduct testing and promote the integration of new databases and data services within existing IT infrastructure, including operational readiness testing and transitional user support
Create, execute, and document comprehensive test plans covering component, integration, system, compatibility/interface, user acceptance, and performance/stress testing
Monitor, maintain, and upgrade data services, content management systems, and databases; analyze system and database reports to ensure optimal performance
Identify data redundancy and design solutions to integrate or consolidate sources, reducing storage and maintenance costs while improving enterprise consistency
Produce technical data, performance reporting, and analysis outlining the operational characteristics of databases and data services across the DIA/DIE infrastructure
Develop and maintain disaster recovery and continuity plans to ensure data availability, access reliability, and database integrity during crisis situations
Analyze, evaluate, and provide recommendations, artifacts, and integration patterns for current, planned, and emerging data service, data management, and database technologies based on performance, cost, and security requirements
Design, develop, test, and implement unstructured data management solutions, including content extraction, tagging, data integration, web services, service versioning, containerization (e.g., Docker, Kubernetes), and infrastructure-as-code automation
Troubleshoot service, database, and user interface failures; implement temporary fixes and permanent corrections; interface with vendors, developers, and users; manage change requests; support code repositories; and prepare and present technical briefings to senior leadership
Qualification
Required
TS/SCI with Poly Clearance
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline
Eight (8) or more years of experience in data engineering
Proven experience developing and managing data pipelines, ETL processes, and database systems for large-scale or mission-critical environments
Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau
Experience with data orchestration and automation tools (e.g., Apache NiFi, Airflow, or similar)
Familiarity with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL)
Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance
Strong understanding of data security, access control, and system hardening in accordance with DoD and IC standards
Demonstrated ability to apply semantic data modeling and metadata standards within an OBI or analytic environment
Proficiency in containerization and orchestration technologies such as Docker and Kubernetes
Preferred
Master's degree in Data Science, Computer Engineering, or related field
Familiarity with semantic web technologies (RDF, OWL, SPARQL) and their use in OBI data integration
Understanding of advanced analytic method augmentation
Experience developing data visualization and analytic tools supporting structured and unstructured intelligence data
Certification in Data Management or Cloud Architecture (e.g., AWS Certified Data Engineer, Google Professional Data Engineer)
Ability to communicate technical data management concepts clearly to both technical and non-technical audiences
Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives
Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures
Experience working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO)
Experience developing OBI governance and tradecraft to assist DIA and other DIAAE organizations conducting OBI
Company
ANSER
In 1958 the Air Force needed a technically qualified unbiased organization that could rapidly provide analysis for identified and evolving mission requirements.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Steve Hopkins
President / Chief Executive Officer
John Lambeth
Chief Information Officer
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