Data Engineer

Booz Allen Hamilton•Washington, DC

3d•$77,500 - $176,000•Hybrid

About The Position

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. 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.

Requirements

3+ years of experience in Data Warehouse development
3+ years of experience with data analysis of aggregated data from multiple sources in cloud-based environments
2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
Experience with SQL and Python for retrieving, parsing, and processing structured and unstructured data
Experience developing scalable ETL or ELT workflows for reporting and analytics using cloud-based technologies
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

Nice To Haves

Experience creating solutions within a collaborative and cross-functional team environment
Experience with AWS Glue, AWS Athena, and Postgres
Experience with distributed data and computing tools such as Cloudera, Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience working on real-time data and streaming applications
Experience with NoSQL implementation using MongoDB or Cassandra
Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
Experience with UNIX and Linux, including basic commands and Shell scripting
Experience with Agile engineering practices

Responsibilities

Develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Support the assessment, design, development, and maintenance of scalable platforms for clients.
Develop scripts and programs for converting various types of data into usable formats.
Support the project team to scale, monitor, and operate data platforms.
Perform backend SQL and NoSQL database testing, including post-deployment and data validation testing.