Data Engineer
Booz Allen Hamilton
At a glance
AI generatedAs a Data Engineer at Booz Allen, you will join a dynamic multi-disciplinary team to develop and deploy data pipelines and platforms that integrate and organize large volumes of structured and unstructured data from diverse sources. Your daily tasks include designing ETL processes using Java, Python, SQL, or Scala, deploying automated data and ML pipelines in the cloud with AWS services, and implementing database architecture such as PostgreSQL and Kafka. You will also contribute to the development of an MLOps ecosystem by leveraging your knowledge of the ML lifecycle. This role requires a minimum of 3 years of experience in ETL development and data pipeline implementation, along with top secret clearance and a bachelor’s degree. Experience with tools like Kafka Connect, Kafka Streams, NiFi, Terraform, and Ansible is beneficial.
Skills
What you'll do
What we're looking for
Market check
This $77,600–$176,000 range sits above 39% of similar postings on FindRole.
Peer median band
$99,000–$189,850
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$188,714
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has 627 open roles on FindRole.
Listed pay typically runs $86,800–$198,000 across 614 roles with salary data.
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