Data Engineer, Lead

$96,600 - $220,000/Yr

Booz Allen Hamilton - McLean, VA

posted 3 months ago

Part-time,Full-time - Senior
McLean, VA
Professional, Scientific, and Technical Services

About the position

As a Lead Data Engineer at Booz Allen Hamilton, you will play a pivotal role in harnessing the power of big data to drive impactful insights for our clients. With the rapid expansion of technologies such as IoT, machine learning, and artificial intelligence, the volume of structured and unstructured data available is unprecedented. Your expertise will be crucial in organizing this data to support critical missions ranging from fraud detection to cancer research and national intelligence operations. In this position, you will lead data engineering activities on some of the most mission-driven projects in the industry. You will be responsible for overseeing the development and deployment of data pipelines and platforms that transform disparate data into meaningful information. Your leadership will guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You will leverage your skills in analytical exploration and data examination to assess, design, build, and maintain scalable platforms tailored to our clients' needs. Your role will not only involve technical expertise but also mentorship, as you will supervise and lead projects and deliverables within a collaborative, cross-functional team. This is an opportunity to use big data for good and make a significant impact in various sectors. Join us at Booz Allen Hamilton, where your contributions will be celebrated, and your professional development will be supported.

Responsibilities

  • Lead data engineering activities on mission-driven projects.
  • Oversee the development and deployment of data pipelines and platforms.
  • Guide and mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
  • Assess, design, build, and maintain scalable data platforms for clients.
  • Develop scripts and programs for converting various types of data into usable formats.
  • Supervise others and lead projects within a collaborative team environment.

Requirements

  • Experience with application development.
  • Experience with designing, developing, operationalizing, or maintaining complex data applications at an enterprise scale.
  • Experience with creating software for retrieving, parsing, and processing structured and unstructured data.
  • Knowledge of scalable ETL and ELT workflows using Apache Spark, Apache Airflow, or Apache Flink.
  • Ability to develop scripts and programs for converting various types of data into usable formats.
  • Ability to supervise others and lead projects and deliverables within a collaborative, cross-functional team environment.
  • Ability to obtain a Secret clearance.
  • HS diploma or GED.

Nice-to-haves

  • 10+ years of experience with 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 and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
  • 5+ years of experience with 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 DataBricks Lakehouse or Snowflake.
  • 5+ years of experience with UNIX and Linux, including basic commands and Shell scripting.
  • 5+ years of experience with Agile engineering practices.
  • 3+ years of experience with Palantir Foundry.
  • Secret clearance.

Benefits

  • Health insurance coverage.
  • Life insurance coverage.
  • Disability insurance coverage.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development opportunities.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care support.
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