Data Engineer

Job Number: R0229283 Data Engineer The Opportunity Ever-expanding technology like IoT, machine learning, and artificial 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, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have 2+ years of experience with source control and collaboration software, including Git or Atlassian tools Experience with ETL operations, including on-premises or Cloud infrastructure Knowledge of relational and non-relational database technologies, including SQL or GraphQL Knowledge of automation and scripting on Linux or Windows operating systems Ability to obtain a Secret clearance Bachelor's degree Nice If You Have Experience with writing software in programming languages, including Python Experience with deploying analytics workloads on a platform as a service (PaaS) and software as a service (SaaS), including AWS EMR, Redshift, SageMaker, Azure Databricks, SQL Data Warehouse, or Machine Learning service Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation Experience with developing and presenting complex technical information for technical and non-technical audiences and senior leaders Experience with developing and deploying large-scale batch and stream analytics pipelines #J-18808-Ljbffr