Booz Allen is looking for an experienced back-end developer to identify potential risks, contribute to solution development, and create efficient and effective systems for their clients, using the latest architectural approaches and open-source frameworks and tools to deliver solutions.
Requirements
- 5+ years of experience in data engineering
- 2+ years of experience with designing, developing, and maintaining scalable data pipelines using Python
- Experience with relational databases, such as MySQL, PostgreSQL, or Oracle
- Experience with cloud platforms, including AWS, Azure, or Google Cloud
- Knowledge of data warehousing concepts and ETL processes
- Knowledge of big data technologies such as Hadoop and Spark
- Ability to write efficient SQL queries to extract, manipulate, and analyze data from relational databases such as MySQL, PostgreSQL, or Elasticsearch and OpenMetadata
Responsibilities
- contribute to solution development
- create efficient and effective systems for our clients
- use the latest architectural approaches and open-source frameworks and tools to deliver solutions
- work with the development team to create custom tools, systems, and sites with consistent performance and scalability
- designing, developing, and maintaining scalable data pipelines using Python
- Ability to ensure data integrity and optimize database performance through best practices
- Ability to write efficient SQL queries to extract, manipulate, and analyze data from relational databases such as MySQL, PostgreSQL, or Elasticsearch and OpenMetadata
Other
- TS/SCI clearance with a polygraph
- HS diploma or GED
- Bachelor degree in Computer Science, Data Science, or IT
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
- As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
