Data Enginner

Booz Allen Hamilton • Tampa, FL

2d • $77,500 - $176,000

About The Position

As a Data Engineer at Booz Allen, you will help clients use data to support mission-driven work, including areas such as fraud detection, cancer research, and national intelligence. You will develop and deploy pipelines and platforms that organize disparate data and make it useful. Working with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, you will apply analytical exploration and data examination to assess, design, build, and maintain scalable platforms. The role focuses on enterprise-scale data applications and data engineering solutions.

Requirements

• At least 5 years of experience in application development in Qlik.
• At least 5 years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
• At least 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 for converting various types of data into usable formats and support the scaling, monitoring, and operation of data platforms.
• Secret clearance is required; applicants may be subject to a security investigation and must meet eligibility requirements for access to classified information.
• Bachelor’s degree.

Nice To Haves

• Experience with Python, SQL, Scala, or Java.
• Experience with distributed data or computing tools such as 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 pipelines and platforms that organize disparate data and make it meaningful.
• Assess, design, build, and maintain scalable data platforms.
• Develop scripts and programs to convert different types of data into usable formats.
• Support the project team in scaling, monitoring, and operating data platforms.
• Collaborate with and guide multidisciplinary teams of analysts, data engineers, developers, and data consumers.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level