Engineer II – Data Engineering
Description For Engineer II – Data Engineering
CarMax, the nation's largest used car retailer, is seeking a Data Engineer II to join their Enterprise Data Lake team. This role is crucial in transforming CarMax's data infrastructure and enhancing customer experience through innovative digital products. As a Data Engineer, you'll be responsible for providing reliable and business-critical data for analytics and machine learning use cases, working with cutting-edge technologies like Databricks, Azure ML, and Apache Spark.
The position offers an exciting opportunity to work at the intersection of automotive retail and technology, where you'll collaborate with Data Scientists and Analysts to design, build, and maintain data pipelines. You'll be instrumental in organizing enterprise-wide data into comprehensive datasets that power both operational excellence and analytical capabilities.
CarMax offers a collaborative, innovative work environment with a hybrid work arrangement based out of either Dallas, TX Technology Hub or Richmond, VA Technology Innovation Center. The company is recognized as one of the FORTUNE 100 Best Companies to Work For®, demonstrating their commitment to employee growth and workplace culture.
The ideal candidate brings 2+ years of data engineering experience, strong programming skills in Python and SQL, and expertise in cloud technologies, particularly Microsoft Azure. You'll be joining a fast-paced, agile team where your contributions will directly impact how customers buy vehicles and how CarMax leverages data to enhance business performance.
This role represents an excellent opportunity for a mid-level engineer looking to make a significant impact in a company that's revolutionizing the automotive retail industry through technology and data-driven solutions.
Responsibilities For Engineer II – Data Engineering
- Design and develop systems for ingesting streaming and batch data using Databricks and Azure ML
- Create new data pipelines to ingest and transform data
- Classify data to apply security policies in accordance with CarMax standards
- Ensure data quality is part of the design and implement quality checks
- Drive root cause analysis of production issues
- Assist in integrating diverse datasets and understanding data consumption patterns
- Ensure responsible data usage through governance and compliance initiatives
Requirements For Engineer II – Data Engineering
- 2+ years' software engineering or data engineering experience in enterprise-level environment
- 2+ years' experience building enterprise-level solutions with Microsoft Azure
- Proficiency in programming languages such as Python, SQL, or Scala
- Experience with data engineering tools like 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
- Understanding of data warehousing concepts and data modeling
- Excellent communication skills
- Experience on fast-paced, agile team within Product-oriented organization
- Bachelor's degree in computer science or related field or equivalent experience
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