Data Engineer

Booz Allen Hamilton

Arlington, VA

Full Time

Senior

78k-176k

4 days ago

Job Description

About the Role

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. You will work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role involves managing the assessment, design, building, and maintenance of scalable platforms for clients, using data for impactful missions such as fraud detection, cancer research, and national intelligence.

Key Responsibilities

Help build advanced technology solutions and implement data engineering activities on mission-driven projects.
Deploy and develop data 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.
Manage the assessment, design, building, and maintenance of scalable data platforms for clients.
Use analytical exploration and data examination to support project goals.

Requirements

5+ years of experience in application development.
5+ years of experience with designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
3+ years of experience with creating software for retrieving, parsing, and processing structured and unstructured data.
3+ years of experience building scalable ETL and ELT workflows for reporting and analytics.
Experience creating solutions within a collaborative, cross-functional team environment.
Ability to develop scripts and programs for converting various types of data into usable formats and support scaling, monitoring, and operation of data platforms.
Bachelor's degree.
Secret clearance.

Nice to Have

Experience with Python, SQL, Scala, or Java.
Experience with UNIX and Linux, including basic commands and Shell scripting.
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
Experience working on real-time data and streaming applications.
Experience with NoSQL implementation, including MongoDB or Cassandra.
Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
Experience with Agile engineering practices.
TS/SCI clearance with a polygraph.

Qualifications

Formal educational background includes a Bachelor's degree.

Benefits & Perks

Health, life, disability, financial, and retirement benefits.
Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
Recognition awards for exceptional performance.
Flexible work model with remote, hybrid, or onsite options.