Data Engineer

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 and 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.  You Have:    1+ years of experience with data engineering, pipeline development, data science, data analytics, machine learning, or software engineering Experience with source control and collaboration software, including Git or Atlassian tools  Experience writing software 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 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 ETL operations 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 Clearance: Applicants selected will be…