CarMax is looking to improve its business performance and customer experience by leveraging data to enhance its digital products and services.
Requirements
- 2+ years’ software engineering or data engineering experience in an enterprise-level environment
- 2+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
- Proficiency in programming languages such as Python, SQL, or Scala.
- Experience with data engineering tools and technologies such as Databricks, Azure ML, and event stream processing.
- Experience with cloud ETL tools such as Azure Data Factory
- Experience with serverless solutions such as Azure Functions
- Familiarity with Apache Spark & distributed compute engines
Responsibilities
- Designing and developing systems for ingesting streaming and batch data using technologies such as Databricks and Azure ML.
- Creating new data pipelines to ingest and transform data
- Classifying data in order to apply security policies in accordance with Carmax standards
- Ensure data quality is part of the design and checks are implemented to maintain data quality
- Drive root cause analysis of production issues.
- Assists in integrating diverse datasets and understanding data consumption patterns.
- Ensures that the data consumers use the data provisioned to them responsibly through data governance and compliance initiatives.
Other
- Excellent communication skills, adapting to various audience types
- Experience on a fast-paced, highly collaborative agile team within a Product-oriented organization
- Bachelor’s degree in computer science or related Technology field or equivalent experience
- Applicants must be currently authorized to work in the United States on a full-time basis.
- Hybrid work arrangement with locations in Dallas, TX Technology Hub or Richmond, VA Technology Innovation Center
