Booz Allen Hamilton-posted 6 days ago
$99,000 - $225,000/Yr
Full-time • Mid Level
Usa, DC
1-10 employees

Data Engineer, Lead The Opportunity: 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, 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.

  • guide data engineering activities by overseeing 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, agile environment
  • oversee the assessment, design, building, and maintenance of scalable platforms for your clients
  • 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 and supporting the project team to scale, monitor, and operate data platforms
  • Experience supervising others and leading projects and deliverables within a collaborative, cross-functional team environment
  • TS/SCI clearance
  • Bachelor’s degree
  • 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
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
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