Health Account Intern

Booz Allen Hamilton•Atlanta, GA

5d•Remote

About The Position

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

Requirements

Knowledge of basic application development utilizing programming languages, including C++, Java, or Python
Knowledge of the development and maintenance of scalable data stores that supply big data in forms needed for business analysis
Ability to create software for retrieving, parsing, and processing structured and unstructured data
Ability to develop scalable ETL/ELT workflows for reporting and analytics
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
Scheduled to obtain a Bachelor’s degree by Spring 2027

Nice To Haves

Experience with public cloud platforms such as AWS, Microsoft Azure, or Google Cloud
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 NoSQL implementation such as MongoDB, or Cassandra
Experience with data warehousing such as AWS Redshift, MySQL, or Snowflake
Experience with UNIX/Linux, including basic commands and Shell scripting
Experience with Agile engineering practices
Knowledge of application development utilizing programming languages, including SQL or Scala
Knowledge of data aggregation and ingestion tools or web scraping packages on platforms such as StreamSets

Responsibilities

Develop and deploy pipelines and platforms that organize and make disparate data meaningful.
Support the assessment, design, building, and maintenance of scalable platforms for clients.
Use skills to help build advanced technology solutions and implement data engineering activities.
Organize data to yield pivotal insights when gathered from disparate sources.
Help clients find answers in their data to impact important missions.