Data Engineer, Mid

Booz Allen Hamilton•Usa, VA

1d•Onsite

About The Position

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 an experienced data engineer 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 help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait.

Requirements

3+ years of experience deploying, configuring, and maintaining enterprise software and data systems in secure, air-gapped, or disconnected environments
3+ years of experience building and maintaining ETL/ELT pipelines for structured and unstructured data
2+ years of experience in Python and SQL for data manipulation, automation, and pipeline development
Experience with distributed data and computing tools such as Spark or Databricks
Experience developing RESTful APIs in Python to support data ingestion and integration workflows
Experience with relational and non-relational databases, such as PostgreSQL, MongoDB, or Elasticsearch, to support deployment and configuration
Knowledge of the Software Development Life Cycle (SDLC), secure deployment practices, and data security controls
Ability to work on site and operate independently in a Sensitive Compartmented Information Facility (SCIF) environment with limited connectivity
TS/SCI clearance
Bachelor’s degree in Computer Science or Data Science

Nice To Haves

3+ years of experience building enterprise data engineering solutions in the cloud, including cloud native technologies from AWS and Azure
Experience supporting classified data systems for the Department of Defense or Intelligence Community
Experience with cross-domain solutions and data transfer guard technologies
Experience supporting data lake and data warehouse architectures
Experience with data modeling, metadata management, and data quality frameworks
Experience with IAM, encryption, and security controls in cloud or on-prem environments
Experience with Palantir Foundry or similar enterprise data platforms
Knowledge of containerization or container orchestration technologies
Possession of excellent verbal and written communication, analytical, and problem-solving skills

Responsibilities

Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.