Data Engineer

Data Engineer

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 engineer 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 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.

You Have:   

• 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 
• Secret clearance
• HS diploma or GED

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 or 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 

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.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation rang