Senior Data Engineer, Predictive Modeling

Carvana

Quick summary

Work type
On-site
Location
Tempe, AZ
Posted
14 days ago
Nearby
99+ roles within 25 mi

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Similar $176k
$128k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $138,400–$213,187.

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Employer

About Carvana

Carvana is an e-commerce platform for buying and selling used cars, offering customers a fully online purchasing experience with home delivery, financing, and vehicle trade-ins through its network of automated car vending machines and inspection centers.

Carvana currently has 25 open roles on FindRole.

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At a glance

TL;DR · Senior Data Engineer, Predictive Modeling

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As a Senior Data Engineer at Carvana in Tempe, AZ, you will join the data science and analytics team to build intelligent systems that predict future trends and automate complex decisions. Your daily tasks include refactoring Python code from Data Scientists into production-ready applications, designing scalable predictive modeling pipelines, and developing internal tooling for productivity enhancement. You’ll work with technologies like Docker, Kubernetes, Snowflake, SQL Server, Apache Spark, and Git to ensure high-quality, maintainable codebases while adhering to software engineering best practices. This role involves collaborating closely with stakeholders to translate business requirements into technical solutions and mentoring junior engineers. Experience in cloud platforms (GCP, Azure), Python, and AI/ML tooling is essential for success in this challenging yet rewarding position.

Skills

Python Docker Kubernetes AWS GCP Azure Flask numpy scikit-learn Jupyter Snowflake SQL Server Apache Spark DataBricks Git CI/CD Terraform

What you'll do

  • Refactor and productionalize Python code from Data Scientists and Analysts.
  • Design and maintain robust, scalable predictive modeling data pipelines.
  • Develop internal tooling to accelerate productivity for analysts and engineers.
  • Support in building and deploying new RESTful services with best practices.
  • Create comprehensive solutions for application logging and error reporting.

What we're looking for

  • 5+ years of experience in data engineering and data warehousing.
  • Strong software engineering fundamentals including object-oriented design, testing methodologies, and code review practices.
  • Experience building production systems for scalability, availability, and robustness with emphasis on maintainable Python code.
  • Proficiency with cloud service platforms (AWS, GCP, Azure) and container orchestration tools like Docker and Kubernetes.
  • Expertise in SQL and NoSQL databases, data modeling, and optimization techniques.
  • Familiarity with DevOps principles, CI/CD pipelines, and modern software development tools.

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