Data Engineer

Booz Allen Hamilton•San Diego, CA

16h•$99,000 - $225,000

About The Position

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. 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 some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

5+ years of experience with designing scalable data systems and infrastructure
Experience with source control and collaboration sof tware, including Git or Atlassian tools
Experience with ETL operations, including on-premises or Cloud infrastructure
Experience with writing sof tware in programming languages, including Python
Knowledge of relational and non-relational database technologies, including SQL or GraphQL
Knowledge of automation and scripting on Linux or Windows operating systems
Secret clearance
Bachelor's degree

Nice To Haves

Experience deploying analytics work load s on a platform as a service ( PaaS ) and sof tware 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 sof tware engineers
Experience with DoD information systems
Master’s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Sof tware Engineering, Electrical Engineering, Physics, or a related field
Cloud Development Certification , including AWS Solutions Architect, or Azure Certification
Information Security Certification , including Security+ or CISSP Certification
Clearance : Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance required.