Data Engineer, Senior

Booz Allen Hamilton is a leading technology company focused on data-driven solutions. They are seeking a Senior Data Engineer to help clients organize and analyze data from various sources, impacting critical missions such as fraud detection and national intelligence.

Responsibilities:

• Help build advanced technology solutions and implement data engineering activities on mission-driven projects
• Deploy and develop pipelines and platforms that organize and make disparate data meaningful
• Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
• Manage the assessment, design, building, and maintenance of scalable platforms for clients

Requirements:

• 4+ years of experience in a data engineering, software engineering, software devops, or adjacent role
• 4+ years of experience designing and developing databases and applications within classified IC environments
• Experience creating custom SQL solutions, including scripts, stored procedures, optimized queries, and user-facing interfaces tailored for secure IC networks
• Experience building and maintaining integrations between data sources and analytic tools such as Tableau, Power BI, Kibana, and Grafana
• Experience in programming languages, such as Python, developing tools, scripts, or automations to support data ingestion, transformation, and operational workflows, and UNIX or Linux, including basic commands and Shell scripting
• Experience using large-scale dataflow and transformation technologies, such as Hadoop, EMR, Snowflake, and Apache NiFi, to build production-ready datasets for analytic use
• Knowledge of IC cloud platforms and services, such as AWS, Microsoft Azure, or Google Cloud
• Ability to document and communicate database designs, such as ER diagrams, schema definitions, and system architecture, to both technical teams and non-technical stakeholders
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or Business Information Systems
• Experience in developing and presenting IC-focused metrics, including assessments of how IC reporting maps to intelligence requirements, how effectively the IC responds to shifting priorities, and how various producing groups contribute to mission needs
• Experience in architecting, validating, and maintaining software tools that enable assessment workflows and metrics generation across large, integrated datasets
• Experience designing and implementing secure APIs that provide controlled, authenticated access to enterprise data repositories
• Experience leading technical teams