Data Engineer
About the role
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.
Responsibilities
- Design, develop, operationalize, and maintain complex data applications at enterprise scale
- Create software for retrieving, parsing, and processing structured and unstructured data
- Build scalable ETL or ELT workflows for reporting and analytics
- Manage the assessment, design, building, and maintenance of scalable platforms
- Work within a collaborative, cross-functional team environment
Requirements
- 5+ years of experience working in a professional environment
- 3+ years of experience 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
- 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics
- Experience with Palantir Foundry
- Experience with Databricks, including Delta Lake, Spark, notebooks, and workflows or jobs
- Experience with GitLab for version control, CI/CD pipelines, and code review workflows
- Ability to develop scripts and programs for converting various types of data into usable formats
- Ability to support project team to scale, monitor, and operate data platforms
- Secret clearance
- Bachelor’s degree
Nice to have
- Experience with UNIX or 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
- TS/SCI clearance with a polygraph
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.
Benefits
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.
Pay
The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.