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Engineer II, Data

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: CarMax Business Services
Full Time, Part Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 92100 - 138200 USD Yearly USD 92100.00 138200.00 YEAR
Job Description & How to Apply Below
8117 - Dallas Technology Hub - 5830 Granite Parkway, Plano, Texas, 75024

Car Max, the way your career should be!

About this jobThe bulk of the data engineer’s work would be in building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers (like business/data analysts, data scientists or any persona that needs curated data for operational and analytical data use cases.

Data engineers also need to guarantee compliance with data governance and data security requirements while creating, improving and operationalizing these integrated and reusable data pipelines. This would enable faster data access, integrated data reuse and vastly improved time-to-solution for Car Max’s operational and analytical initiatives

Data Engineer II – Enterprise Data Services We are seeking a Data Engineer with hands‑on, production experience building and operating data pipelines in a cloud environment. This role sits on the Enterprise Data Services team, which owns streaming data ingestion, curation, and delivery for Analytics and Data Science teams.

Key Responsibilities 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

Required Experience & Skills Candidates must have professional, hands‑on experience in most of the following: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 Strongly Preferred Supporting production streaming systems with uptime and latency expectations

Azure-native services such as:

Azure Databricks Azure Functions (or equivalent serverless frameworks: AWS Lambda, Cloud Functions)
Cosmos DB (or comparable No

SQL stores such as DynamoDB, Cassandra)
Experience working with Analytics or Data Science platform teams

Debugging live pipelines and handling operational ownership/on‑call responsibilities

Technology Environment (Primary & Equivalent)

Languages:

Python (required), SQL, SparkSQLStreaming:
Event Hubs | Kafka | Kinesis Processing:
Databricks | Apache Spark | EMR | Dataproc Storage:
Cosmos DB | DynamoDB | Cassandra Serverless:
Azure Functions | AWS Lambda Cloud:
Azure (primary) | AWS | GCPDevOps: CI/CD pipelines, automated deployments

Who This Role Is For This role is a strong fit for someone who:

Has already worked on real, production data systems

Wants to deepen experience in streaming and cloud‑native data platforms

Brings a software engineering mindset to data problems

Values ownership, reliability, and continuous learning

Work Location and Arrangement:
This role will be based out of the Car Max Midtown office, Richmond VA or Car Max Technology Hub, Plano TX and have a Hybrid work arrangement.

Associates based in Richmond work onsite 4 days per week.

Associates based in Plano work onsite 2 days per week.

Work Authorization:
Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About Car Max Car Max  disrupted the auto industry by delivering the honest, transparent and high-integrity experience…
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