Data Engineer, Lead

Booz Allen Hamilton • Washington, DC

78d • $99,000 - $225,000

About The Position

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, 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

• 7+ years of experience in application development.
• 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
• 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
• 5+ years of experience developing scalable ETL/ELT workflows for reporting and analytics.
• Experience developing scripts and programs for converting various types of data into usable formats.
• Experience supervising others and leading projects within a collaborative, cross-functional team environment.
• TS/SCI clearance.
• Bachelor’s degree.

Nice To Haves

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

Responsibilities

• Oversee the development and deployment of data pipelines and platforms.
• Mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
• Assess, design, build, and maintain scalable data platforms.
• Lead data engineering activities on mission-driven projects.

Benefits

• Health, life, and disability insurance.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree