Data Enginner

Booz Allen Hamilton•Tampa, FL

About The Position

As a Data Engineer at Booz Allen, you will build advanced technology solutions and carry out data engineering activities on mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data and make it meaningful. In a fast-paced, agile environment, you will work with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers. You will use analytical exploration and data examination experience to assess, design, build, and maintain scalable platforms for clients. The work supports missions such as fraud detection, cancer research, and national intelligence. Applicants must have a Secret clearance and a bachelor's degree. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Booz Allen describes its compensation and benefits as including health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. The projected annualized compensation range is $77,500 to $176,000 USD, with compensation determined by factors including location, education, skills, experience, and contract and organizational requirements. This posting will close within 90 days from its posting date. The hiring process includes identity verification using biometrics and AI; candidates are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted. The work-model section describes expectations for remote, hybrid, and onsite roles, but this posting does not specify which model applies to this position.

Requirements

5+ years of experience in application development in Qlik.
5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
3+ years of experience building scalable ETL or ELT workflows for reporting and analytics.
Experience creating solutions in a collaborative, cross-functional team environment.
Ability to develop scripts and programs to convert various types of data into usable formats and support a project team in scaling, monitoring, and operating data platforms.
Secret clearance.
Bachelor's degree.

Nice To Haves

Experience with Python, SQL, Scala, or Java.
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 Agile engineering practices.

Responsibilities

Develop and deploy data pipelines and platforms that organize disparate data and make it meaningful.
Assess, design, build, and maintain scalable platforms for clients.
Work with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers.
Develop scripts and programs to convert different types of data into usable formats.
Support the project team in scaling, monitoring, and operating data platforms.