Data Engineer, Senior

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 5+ 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 creating solutions within a collaborative, cross-functional team environment 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 TS/SCI clearance with a polygraph Bachelor's degree Nice If You Have: Experience with Python, SQL, Scala, or Java 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

The projected compensation range for this position is $77,600.00 to $176,000.00 (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.