Booz Allen Hamilton is a management and technology consulting company serving government and commercial clients with advanced technical and strategic expertise. Its work spans national security, defense, intelligence, civil government, and critical infrastructure, bringing together teams focused on artificial intelligence, cybersecurity, cloud computing, digital transformation, engineering, and mission and operations support. The company is particularly engaged in complex, high-assurance challenges for military, intelligence, and federal agencies, alongside selected commercial sectors.
Onsite Data Engineer in Arlington, Virginia
Build scalable data pipelines and platforms for Booz Allen Hamilton client projects. Turn disparate data into useful insights alongside multidisciplinary teams.
United States
Virginia$62,000 – $141,000 / year
On-siteFull-timeJuniorMiddleEnglish RequiredData EngineerDescription
- Build technology solutions and carry out data engineering work on mission-focused projects
- Create and deploy pipelines and platforms that organize disparate data for practical use
- Collaborate with analysts, engineers, developers, and data users in a fast-moving agile setting
- Help assess, design, develop, and maintain scalable platforms for clients
- Explore and examine data to support analysis
- Write scripts and programs that convert varied data types into usable formats
- Help project teams scale, monitor, and operate data platforms
Requirements
- At least 2 years of experience using programming languages such as Python
- Experience building and maintaining scalable data stores for business analysis
- Experience developing scalable data pipelines or ETL/ELT workflows for reporting and analytics
- Experience delivering solutions in collaborative, cross-functional teams
- Ability to write scripts and programs that convert different data types into usable formats
- Ability to help project teams scale, monitor, and operate data platforms
- Secret security clearance
- Bachelor’s degree
- Experience deploying analytics workloads on PaaS or SaaS platforms, such as AWS EMR, Redshift, SageMaker, Databricks, or machine learning services
- Experience building software to retrieve, parse, and process structured and unstructured data
- Experience with distributed or parallel programming frameworks such as Apache Spark or NVIDIA CUDA
- Experience with infrastructure as code tools and services such as Terraform or CloudFormation
- Experience developing and presenting complex technical material to technical and nontechnical audiences, including senior leaders
- Experience developing and deploying large-scale batch and streaming analytics pipelines
- Experience working with teams that include customer success managers, infrastructure engineers, data scientists, and software engineers
- Master’s degree in computer science, computer engineering, mathematics, data science, software engineering, electrical engineering, or physics
- Cloud development certification, such as AWS Solutions Architect or an Azure certification
- Information security certification, such as Security+ or CISSP
Benefits
- Health coverage
- Life insurance
- Disability coverage
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development opportunities
- Tuition assistance
- Work-life programs
- Dependent care support
- Employee recognition awards program
- Identity verification and fraud prevention process
- Full-time employees working at least 20 hours per week may participate in Booz Allen benefit programs