Data Engineer

Booz Allen Hamilton•Offutt AFB, NE

17d

About The Position

Data Engineer The Opportunity: Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it’s gathered from disparate sources and organized. As a data engineer, you have the chance to develop and deploy the pipelines and platforms that make this data meaningful. What’s more, you’ll have the chance to grow our DataOps capabilities while working with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in a fast-paced and agile environment. We’re looking for someone like you to ensure our clients meet their mission by supporting national security. This is an opportunity to support data engineering activities on some of the most mission-driven projects in the industry. Driving intelligence, surveillance, and reconnaissance (ISR) efforts for the Air Force, you’ll have the chance to architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform data ingestion, or build data models. From performing analytical exploration and examination of data to leading the assessment, design, building, and maintenance of scalable platforms, you’ll guide your clients to solve their most pressing challenges. Ready to drive innovation using cutting-edge data tools and techniques? Join us. The world can’t wait.

Requirements

3+ years of experience with data engineering and data wrangling
3+ years of experience in building highly scalable ETL or DataOps pipelines, including cloud native or open-source data technologies
Experience with programming languages, such as Python, SQL, Scala, or Java
Experience with UNIX and Linux, including basic commands and Shell scripting
Experience with Elasticsearch, Logstash, and Kibana
TS/SCI clearance
Bachelor’s degree in a STEM field

Nice To Haves

Experience working in Agile, DevSecOps teams and environments, including Atlassian tools
Experience in implementing batch and real-time big data integration frameworks and applications, in private or public cloud, including AWS or Azure, using various technologies, including Hadoop, Spark, Impala, debugging, identifying performance bottlenecks, and finetuning those frameworks
Knowledge of relational and dimensional modeling techniques
Master's degree in a STEM field