Data Engineer
Booz Allen Hamilton
San Diego, CA2h agovia LinkedIn
About the Role
As a Data Engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on mission-driven projects. You'll develop and deploy pipelines and platforms that organize and make disparate data meaningful. You'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You'll support the assessment, design, development, and maintenance of scalable platforms for clients.
Key Responsibilities
- Develop and deploy pipelines and platforms that organize and make disparate data meaningful.
- Support the assessment, design, development, and maintenance of scalable platforms for clients.
Requirements & Tech Stack
- Data engineering
- Pipeline development
- Systems administration
- Software engineering
- ETL operations
- Source control and collaboration software, including Git or Atlassian tools
- Programming languages, including Python
- Relational and non-relational database technologies, including SQL or GraphQL
- Automation and scripting on Linux or Windows operating systems
Qualifications
- Ability to obtain a Secret clearance
- Bachelor's degree
Nice If You Have
- Experience deploying analytics workloads on a Platform as a Service (PaaS) and Software as a Service (SaaS), including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service
- Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
- Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
- Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders
- Experience developing and deploying large-scale batch and stream analytics pipelines
- Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and software engineers
- Experience with DoD information systems
- Master’s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, or Physics
- Cloud Development Certification, including AWS Solutions Architect or Azure Certification
- Information Security Certification, including Security+ or CISSP Certification
Compensation
The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD).