Data Engineering & Analytics

Senior-level Data Architect/SME supporting a customer mission focused on data acquisition, exploitation, engineering, and management. The role works across data engineering, software engineering, security, DevOps, application development, data science, and program management teams. Design and support cloud-based data infrastructure and data management solutions. Build and execute ETL/data processing pipelines. Work across AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL, and NoSQL environments. Integrate data flows with industry-standard systems, including Niagara Falls. Collaborate across contractor teams, customer personnel, and external stakeholders. Cloud infrastructure and data management, particularly AWS.Windows, Linux, and macOS.Data engineering and processing. Python. Building and executing ETL pipelines. Big-data technologies such as HDFS, Cloudera, Spark, and Presto. SQL and NoSQL databases. Data-flow integration and mission-oriented data systems. Large Language Models (LLMs) and agentic workflows. Neo4j/graph databases. Experience in a hard-target mission area. Competitive benefits package (medical, dental, vision, life insurance)~ Immediate 401k vesting~ Generous PTO and flexible schedules~$All qualified applicants will receive consideration for employment without regards to race, color, religion, sex (to include pregnancy and related conditions, sexual orientation, and gender identity), national origin, disability, veteran status, or any other federally protected class.