Junior Data Engineer - TS/SCI

We are seeking a motivated, technically capable Junior Data Engineer to support the development, integration, operation, and maintenance of a large-scale data analytics platform supporting a U.S. Government customer. The successful candidate will work as part of a multidisciplinary engineering and analytics team to design, develop, and maintain data pipelines and processing workflows that ingest, transform, integrate, and prepare large volumes of structured and unstructured data for analytical use. The Data Engineer will contribute to the implementation and optimization of scalable data solutions, support data quality and governance initiatives, and help ensure the reliability, performance, and security of the platform in a mission-focused environment. ## Principal Responsibilities - Data Pipeline Development: Develop, maintain, and troubleshoot data ingestion, transformation, and integration pipelines supporting large-scale data analytics. - Data Processing and Integration: Support the integration and processing of structured, semi-structured, and unstructured data from diverse sources using distributed data processing technologies. - Data Platform Support: Assist with the deployment, configuration, monitoring, and optimization of data engineering components within cloud-based, on-premises, or hybrid environments. - Data Quality and Performance: Implement data validation, quality assurance, and monitoring processes to ensure data accuracy, consistency, availability, and processing efficiency. - Collaboration and Documentation: Work with data scientists, analysts, software engineers, and government stakeholders to translate data requirements into technical solutions; document workflows, processes, and technical designs. ## Minimum Qualifications - Must be a U.S. Citizen with an active TS/SCI clearance (with a willingness to obtain a CI poly). - Bachelor's degree in computer science, information systems, data science, engineering or a related technical field with 1-4 of relevant experience in data engineering, software development, analytics, database administration, or a related technical field. Relevant internships or project experience may be considered. - Demonstrated experience in data engineering, software development, database engineering, or a related technical discipline. - Working proficiency in Python and SQL and/or Elastic, with experience developing scripts, data transformations, and automated data processing workflows. - Experience with relational databases or distributed data processing technologies, and a basic understanding of data modeling, ETL/ELT processes, and data integration. - Willingness to work onsite at least 90% (or as needs dictate). ## Preferred Qualifications - Data engineering platforms and tools such as Apache NiFi, Elasticsearch, PostgreSQL, or OpenShift - Distributed data platforms such as Spark, Hadoop, Kafka, or Hive - Cloud platforms such as AWS, Azure, or Google Cloud - Containers and orchestration with Docker and Kubernetes - Data workflow tools such as Apache Airflow - CI/CD, Git, DevSecOps, or automated testing - Data governance, metadata, lineage, or security - Government, defense, intelligence, or other regulated environments