Booz Allen Hamilton ir vadības un tehnoloģiju konsultāciju uzņēmums, kas sniedz valdības un komerciālajiem klientiem progresīvas tehniskās un stratēģiskās zināšanas. Uzņēmuma darbība aptver nacionālo drošību, aizsardzību, izlūkošanu, civilo pārvaldi un kritisko infrastruktūru. Tas apvieno komandas, kas specializējas mākslīgajā intelektā, kiberdrošībā, mākoņdatošanā, digitālajā pārveidē, inženierijā, kā arī misiju un operāciju atbalstā. Uzņēmums īpaši pievēršas sarežģītiem un augstu drošības līmeni prasošiem izaicinājumiem militārajām, izlūkošanas un federālajām iestādēm, kā arī atsevišķiem komerciālajiem sektoriem.
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.
Apraksts
- 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
Prasības
- 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
Priekšrocības
- 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