Engineer II, Data
CarMax
full-time
Posted on:
Location Type: Hybrid
Location: Dallas • Texas • United States
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About the role
- Design, build, and maintain production-grade data pipelines (streaming and batch)
- Implement event-driven ingestion and near real‑time processing
- Build transformations using distributed data processing frameworks
- Write and maintain clean, testable Python code following software engineering best practices
- Support CI/CD pipelines, automated deployments, and environment promotions
- Monitor and troubleshoot pipeline failures, latency issues, and data quality problems
- Collaborate closely with Data Scientists, Analysts, and platform engineers
Requirements
- 2+ years of experience as a Data Engineer or Software Engineer working with data
- Strong experience writing production Python code
- Experience building and supporting pipelines on Azure or an equivalent cloud platform (AWS/GCP)
- Hands‑on experience with distributed data processing, such as: Apache Spark, Databricks (or Spark runners such as EMR, Dataproc)
- Experience working with event streaming or messaging platforms, such as: Azure Event Hubs, Apache Kafka / Confluent Kafka, Amazon Kinesis
- Practical experience with CI/CD pipelines, version control, and automated deployments
- Familiarity with data modeling, schema management, and data reliability concepts
- Experience operating systems in an agile, collaborative engineering team
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondata pipelinesevent-driven ingestionreal-time processingdistributed data processingApache SparkDatabricksCI/CDdata modelingschema management
Soft Skills
collaborationtroubleshootingproblem-solvingcommunicationagile methodology