University, Data Engineer
About The Position
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. 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.
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 and 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 and 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
- Build advanced technology solutions
- Implement data engineering activities
- 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
- Retrieve, parse, and process structured and unstructured data
- Develop scalable ETL and ELT workflows for reporting and analytics
- Develop scripts and programs for converting various types of data into usable formats
- Support project teams to scale, monitor, and operate data platforms
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
