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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 6 years of experience designing data warehouses or data lakes, RESTful API models, event processing, or business intelligence for software systems.
  • Experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data.
  • Experience coding in software programming languages, including Postgres, SQL, Python, Scala, Spark, or Java.
  • Experience using Apache Spark, Apache NiFi, or Databricks.
  • Experience tuning data lake architecture to optimize cloud storage and pipeline performance.
  • Experience with data management solutions covering data catalogs, data usage, governance policies, and lifecycle management.
  • Top Secret clearance.
  • A bachelor's degree and 8+ years of experience designing, developing, operationalizing, and maintaining data systems, or 12+ years of experience in those areas 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.
  • Manage the assessment, design, building, and maintenance of scalable platforms for clients.

Desired Qualifications

  • At least 4 years of experience architecting and designing large-scale enterprise data and analytics systems.
  • At least 4 years of experience using and developing data systems with AWS and Microsoft Azure cloud data products such as AWS 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 CI/CD pipelines with tools such as Jenkins or GitHub.
  • Experience with NoSQL databases such as Elasticsearch, OpenSearch, Solr, MongoDB, or Cosmos DB.
  • Experience with AI or ML pipelines and processes.
  • TS/SCI clearance with a polygraph.
  • 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
11-50
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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