Data Engineer Security Clearance

Position: Data Engineer with Security Clearance
Company Overview: ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service.

Position Summary ANSER is seeking a Data Engineer to design, build, and optimize enterprise-level data management systems to support Object-Based Intelligence (OBI) analytic processes and mission requirements. You will focus on integrating and maintaining scalable, secure data pipelines and architectures that enable advanced analytic workflows, visualization, and automation. Day-to-Day 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., Postgre

SQL) 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 Graph

QL 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.

Required Qualifications
* 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.
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