Top Tech Jobs & Startup Jobs

Design, implement, and optimize large-scale data ingestion, cleansing, transformation, loading, replication, and display systems. Develop data pipelines, profiling, deduplication, matching logic, and custom data-source solutions. Maintain data-layer documentation, collaborate with data scientists on AI/ML workflows, and use Java technologies, REST APIs, Airflow, ETL, SQL, and Linux in a Big Data environment.

Maintains, hardens, patches, integrates, and troubleshoots Linux servers and supporting hardware in a complex enterprise environment. Responsibilities include operating system lifecycle management, configuration baselines, test planning, staging and production environments, hardware replacement, external system interfaces, documentation, and cross-team technical support. Requires extensive Linux administration experience, shell scripting, domain account management, security patching, and large-scale server operations. U.S. citizenship and TS/SCI with Full Scope Polygraph are required.

Develops, enhances, tests, deploys, and supports existing and new software applications. Responsibilities include analyzing requirements, designing and modifying applications, collaborating with stakeholders, conducting code reviews, troubleshooting production issues, maintaining documentation, and using DevOps tools to deploy across environments. The role requires strong Java development skills plus experience with web technologies, Spring, REST services, SQL, ORM libraries, Git, and modern frontend frameworks.

Develops advanced analytics for national security using large, disparate datasets. Responsibilities include designing data exploitation methods, researching sponsor inquiries, developing custom searches, applying classification, regression, clustering, and anomaly detection algorithms, and supporting threat hunting and malicious-activity detection. The role also involves statistical analysis, data visualization for nontechnical audiences, and prototyping data engineering pipelines.