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Booz Allen

Builds AI and cyber systems for the US government

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHuntsville, AL, USA$77.5k - $176k /yrIn-person

About the Job

Requirements

  • At least 8 years of experience designing data warehouses or data lakes, RESTful API models, event processing, or business intelligence for software systems.
  • At least 5 years of experience building scalable extract, transform, and load or extract, load, and transform data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data.
  • At least 5 years of experience coding in software programming languages, including SQL, Python, Scala, Apache Spark, or Java.
  • Experience tuning data lake architecture to optimize cloud storage and pipeline performance.
  • Experience with data management solutions addressing data catalogs, data usage, governance policies, and lifecycle management.
  • Top Secret clearance.
  • A bachelor's degree and at least 6 years of experience designing, developing, operationalizing, and maintaining data systems, or at least 10 years of equivalent experience in lieu of a degree.

Responsibilities

  • Build advanced technology solutions and implement data engineering activities on mission-driven projects.
  • Deploy and develop pipelines and platforms that organize disparate data and make it meaningful.
  • Work with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers in an agile environment.
  • Perform analytical exploration and data examination.
  • Manage the assessment, design, building, and maintenance of scalable platforms for clients.

Desired Qualifications

  • At least 3 years of experience architecting and designing large-scale enterprise data and analytics systems.
  • At least 3 years of experience using and developing data systems with Amazon Web Services and Microsoft Azure cloud data products, including Amazon EMR, AWS Glue, Azure Dataverse, Azure Data Factory, and Power Apps.
  • Experience with distributed data or computing tools, including Apache Spark, Apache NiFi, Airflow, Databricks, Snowflake, Redshift, or BigQuery.
  • Experience with federal information system policies, including NIST 800-53 and FISMA, data security, access controls, and data protection techniques.
  • Experience creating and improving continuous automation across multiple technical stacks and automating continuous delivery and continuous deployment pipelines with tools such as Jenkins or GitHub.
  • Experience with NoSQL databases such as Elasticsearch, Solr, MongoDB, or Cosmos DB.
  • Experience with artificial intelligence or machine-learning pipelines and processes.
  • TS/SCI clearance with a polygraph.
  • A master's degree.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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