Data Engineer
Booz Allen Hamilton
At a glance
AI generatedWe are seeking a Data Engineer II with hands-on experience building and operating data pipelines in a cloud environment for the Enterprise Data Services team at CarMax. This role involves designing, implementing, and maintaining production-grade data pipelines using streaming and batch processing techniques to support Analytics and Data Science teams. Key responsibilities include writing clean Python code, supporting CI/CD pipelines, monitoring pipeline performance, and collaborating closely with cross-functional teams. The ideal candidate has 2+ years of experience in a similar role, strong skills in Python, distributed data processing frameworks like Apache Spark, and event streaming platforms such as Azure Event Hubs or Kafka. Familiarity with cloud services including Azure Databricks and serverless functions is preferred, along with hands-on experience in an agile engineering environment.
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 $117,500–$187,420.
Peer median band
$117,500–$187,420
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$191,912
Middle half of comparable postings.
Based on 238 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
CarMax is the largest used car retailer in the United States, offering a customer-friendly, no-haggle buying experience with a broad selection of quality used vehicles, financing, and vehicle protection plans. Industry: Automotive Retail
Carmax currently has 37 open roles on FindRole.
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