Data Enginner

Booz Allen Hamilton • Tampa, FL

1d • $77,500 - $176,000 • Hybrid

About The Position

As a Data Engineer at Booz Allen, you will build advanced technology solutions and implement data engineering activities for mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data and make it meaningful, helping clients use data to address challenges such as fraud detection, cancer research, and national intelligence. You will work with and guide a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, using analytical exploration and data examination to assess, design, build, and maintain scalable platforms.

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 within a collaborative, cross-functional team environment.
• Ability to develop scripts and programs that convert various types of data into usable formats and support project teams 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

• Build advanced technology solutions and implement data engineering activities for client projects.
• Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
• Work with and guide multidisciplinary teams of analysts, data engineers, developers, and data consumers.
• Assess, design, build, and maintain scalable platforms.
• Develop scripts and programs to convert different types of data into usable formats.
• Support project teams in scaling, monitoring, and operating data platforms.

Benefits

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

What This Job Offers

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