Booz Allen Hamilton
Data Engineer
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Job Description
The Opportunity
Ever-expanding technology and collection methodologies means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources.
As a Data Engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data available and meaningful.
Here, you’ll work with a multi-disciplinary team of data engineers, developers, and data consumers in a fast-paced, agile environment.
Work with us to use data for good.
Join us. The world can’t wait.
You Have
- 3+ years of experience with data pipelines, including data acquisition, data prep, and database architecture
- 3+ years of experience in ETL development using Java, Python, SQL, or Scala
- 2+ years of experience with PostgreSQL or Kafka
- Experience with AWS services
- Experience with designing and implementing, containerizing, and deploying end-to-end automated data and ML pipelines, within a Cloud environment
- Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem
- Top Secret clearance
- Bachelor’s degree
Nice If You Have
- Experience with Kafka ecosystem tools, such as Kafka Connect and Kafka Streams
- Experience with NiFi
- Experience with infrastructure-as-code tools, such as Terraform or Ansible
- Experience with Agile development methodologies
- Experience working on real-time data and streaming applications
- Ability to pay strict attention to detail
- Possession of excellent problem-solving and analytical skills
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
Compensation
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