Data Engineer

Data Engineer 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 engineer 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 help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage 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 5+ years of experience in application development, and designing, developing, operationalizing and maintaining complex data applications at enterprise scale 3+ years of experience creating software for retrieving, parsing and processing structured and unstructured data, and building scalable ETL/ELT workflows for reporting and analytics Experience with PySpark and Spark SQL Experience in creating, maintaining Object Types, Link Types, and Action Types in Foundry Ontology, and with Foundry Workshop and how to debug issues Experience creating solutions within a collaborative, cross‑functional team environment Ability to build and modify data transformations in Palantir Foundry Data Pipeline Builder and Code Repositories Ability to read logs, diagnose errors, and troubleshoot issues in Palantir Foundry Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms Bachelor’s degree Secret clearance Nice If You Have Experience with Python, SQL, Scala, or Java Experience with UNIX/Linux, including basic commands and Shell scripting Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real‑time data and streaming applications Experience with NoSQL implementation, including MongoDB or Cassandra Experience with data warehousing using AWS Redshift, MySQL, or Snowflake Experience with Agile engineering practices Compensation The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). Security Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Equal Employment Opportunity All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr Booz Allen Hamilton