Data Engineer and Application Developer

Booz Allen Hamilton • Honolulu, HI

9h • Hybrid

About The Position

Data Engineer and Application Developer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l 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 a data professional 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 use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

• 2+ years of experience utilizing programming languages, including C++, Java, or Python
• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
• Experience creating solutions within a collaborative, cross-functional team environment
• Experience developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor, and operate data platforms
• TS / SCI clearance
• Bachelor's degree and 2+ years of experience with data engineering, including application, or software development in a professional work environment, or 3+ years of experience with data engineering, including application, or software development in a professional work environment in lieu of a degree

Nice To Haves

• Experience in application development utilizing SQL or Scala
• Experience with Palantir Foundry
• Experience working with Maven Smart Systems
• Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience working on real-time data and streaming applications
• Experience with NoSQL implementation using MongoDB or Cassandra
• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
• Experience with advanced automation of sof tware delivery, including infrastructure‑as-code, such as Terraform or AWS CloudFormation, containerization, such as Docker, and orchestration, such as Kubernetes or EKS, aligned to DevSecOps practices

Benefits

• health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care
• recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees