Top Tech Jobs & Startup Jobs

Principal Systems Engineer responsible for architecting data warehouse approaches and cloud infrastructure, leading engineering and administration activities, developing server and storage virtualization strategies, and supporting planning and sizing. The role interfaces with government stakeholders and users, analyzes requirements and system architectures, provides expert guidance to technical teams, and directs contractor and subcontractor teams through project completion.

Administer and modernize Oracle 19c databases across on-premises and AWS RDS environments. Responsibilities include schema design, performance tuning, patching, security hardening, backup and disaster recovery, monitoring, compliance controls, production troubleshooting, and technical documentation. The engineer will optimize Java database interactions, support SAP BI reporting, integrate Apache Solr indexing, and execute migration strategies from VMware to AWS RDS. The role requires the ability to obtain or maintain a TS/SCI government clearance.

Lead Agile software development processes for a Defense Intelligence Agency data modernization initiative. Facilitate Scrum ceremonies, manage epics and user stories in Agile tools, coordinate cross-functional data engineering and DevSecOps teams, support CI/CD pipelines, remove impediments, and drive continuous improvement in secure federal environments.

Designs, develops, and maintains ETL/ELT pipelines, APIs, and data integration services for analytics, reporting, and operational needs. Responsibilities include data mapping, transformation, validation, ingestion automation, performance optimization, cloud architecture support, metadata and lineage implementation, workflow documentation, and collaboration with data governance and security teams. The role also supports source analysis, requirements gathering, interface design, testing, deployment, and enterprise data catalog initiatives.

Develops enterprise taxonomies, ontologies, semantic models, metadata frameworks, and data-tagging strategies. Leads analyses of alternatives for semantic technologies and interoperability approaches, supports data governance and information sharing, and partners with security teams on ABAC, Zero Trust, classification, and data-centric security. Provides technical recommendations and establishes standards for data discoverability, interoperability, access control, and semantic consistency across Federal, DoD, or Intelligence Community environments.

Architects and operates enterprise AI/ML data platforms supporting vector search, RAG, LLM applications, and Agentic AI. Establishes data governance, lineage, traceability, explainability, monitoring, and evaluation controls. Partners with engineering, cybersecurity, architecture, data science, and mission stakeholders to deliver secure, scalable cloud-native capabilities. Evaluates emerging AI technologies, coordinates enterprise initiatives, and communicates technical risks, tradeoffs, and mission impacts to senior leadership.

Analyzes structured, unstructured, and semi-structured datasets using data engineering, machine learning, statistical analysis, visualization, and text-processing techniques. The role develops recommendations for data acquisition and enterprise data strategy, identifies patterns and anomalies, researches emerging methodologies, and presents findings to senior government leadership. It also requires collaboration with contractor teams and use of project management and documentation tools.

Develops and sustains cloud software through requirements analysis, development, integration, testing, validation, enhancement, and issue resolution. The role includes cloud software research, installation, evaluation, and ongoing engineering support. Candidates need at least five years of directly related experience, cloud development certifications, and an active TS/SCI clearance with polygraph. A technical bachelor’s or master’s degree may substitute for portions of the experience requirement.

Develop and maintain web-based Java applications supporting compliant IC data management and movement. Design complex algorithms, perform quality control, improve documentation and development standards, collaborate with systems and hardware engineers, and coordinate software installation and operational monitoring. The role uses Agile methods and technologies including Quarkus, PrimeFaces, SQL, PostgreSQL, and Elasticsearch.

Designs and implements data engineering and systems engineering solutions using NiFi, Linux, structured data, databases, Java, and Splunk. Maps and models data transformations, supports ingestion and routing, documents data flows, conducts system trade analyses, manages configuration, defines interfaces, evaluates design alternatives, and provides technical direction across the systems engineering lifecycle. Requires TS/SCI clearance with polygraph.