Data Engineer and Operations Analyst

$75,600 - $172,000/Yr

Booz Allen Hamilton - Nellis Air Force Base, NV

Part-time,Full-time - Mid Level

Nellis Air Force Base, NV

Professional, Scientific, and Technical Services

About the position

As a Data Engineer and Operations Analyst at Booz Allen Hamilton, you will play a crucial role in organizing and analyzing big data to provide insights that impact significant missions, such as fraud detection and national intelligence. You will be responsible for implementing data engineering activities, developing pipelines, and collaborating with a multi-disciplinary team in a fast-paced, agile environment. Your expertise will help in managing the assessment, design, building, and maintenance of scalable data platforms for clients.

Responsibilities

• Implement data engineering activities on mission-driven projects.
• Deploy and develop data pipelines and platforms to organize disparate data.
• Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
• Manage the assessment, design, building, and maintenance of scalable platforms.
• Develop scripts and programs for converting various types of data into usable formats.

Requirements

• 5+ years of experience in application development.
• 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
• 5+ years of experience with Python, SQL, Scala, or Java.
• 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
• 3+ years of experience building scalable ETL and 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.
• Bachelor's degree.

Nice-to-haves

• Experience with UNIX and Linux, including basic commands and Shell scripting.
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
• Experience with distributed data and 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.
• Master's degree in Data or Mathematics.

Benefits

• Wellness programs with HSA contributions.
• Paid holidays.
• Paid parental leave.
• Generous 401(k) match.
• Flexible schedules and remote/hybrid work options.