Data Engineer

Booz Allen Hamilton•Usa, DC

4h•Remote

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 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 expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee 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

1+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
1+ years of experience using Python or SQL
1+ years of experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
1+ years of experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud
Secret clearance
Bachelor’s degree

Nice To Haves

5+ years of experience with UNIX or Linux, including basic commands and Shell scripting
5+ years of experience with Agile engineering practices
3+ years of experience with NoSQL implementation, including MongoDB or Cassandra
3+ years of experience with data warehousing, including AWS Redshift, MySQL, MSSQL, Oracle, PostgreSQL, or Snowflake
Cybersecurity Certification such as Security+ Certification
AI and ML Associate, Red Hat, Linux+, or AWS Certification such as AWS Solutions Architect Certification

Responsibilities

Oversee the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment.
Oversee the assessment, design, building, and maintenance of scalable platforms for clients.