Data Engineer
Booz Allen Hamilton
At a glance
AI generatedAs a Senior Data Engineer in the Data and Analytics team, you will be responsible for building complex batch and streaming pipelines to ingest data from upstream cloud systems, designing scalable frameworks for data pipeline development, and leveraging AI-powered coding assistants to optimize code and generate documentation. You will also develop prompts for Large Language Models (LLMs) to assist with data-related tasks, design AI agents to automate data management, and maintain engineering standards in EWS D&A. The role requires at least 5 years of experience in data engineering, proficiency in Python and SQL, and hands-on experience with GCP big data tools such as BigQuery, DataFlow, and Cloud Composer. Additional skills like prompt engineering for AI models, familiarity with frameworks for building AI applications, and DevOps/CICD experience using Jenkins and GitHub will set you apart.
Skills
What you'll do
What we're looking for
Market check
This listing doesn't show a salary. Similar roles on FindRole typically pay $99,000–$189,650.
Peer median band
$99,000–$189,650
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
Equifax is a global data, analytics, and technology company and one of the "Big Three" credit reporting agencies, specializing in consumer and commercial credit information.
Equifax currently has 22 open roles on FindRole.
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