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Data Engineer III

  • Job
    Mid Level
  • Data
  • $101.1K - $140K
  • Quick Apply

AI generated summary

  • You must have 3+ years of data engineering experience with SQL/PLSQL, ETL pipelines, Python/Scala, Spark, file formats, and ETL schedulers. Experience with AWS, Big Data platforms, and CI/CD pipelines required. Good communication skills and collaborative attitude essential.
  • You will build and maintain data pipelines, analyze data using advanced techniques, work with cross-functional teams, deploy data pipelines into production, and have the opportunity to mentor others on the team.


  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, HiveQL, SparkSQL)
  • Experience with data modeling, warehousing and building ETL pipelines
  • Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
  • Solid understanding of Spark and ability to write, debug and optimize Spark code in Python.
  • Solid understanding of various file formats and compression techniques.
  • Experience with any of ETL schedulers such as Airflow or similar frameworks.
  • Experience with source code management systems such as Github and developing CI/CD pipelines with tools such as Jenkins for data.
  • Excellent communication and collaboration skills.
  • Ability to design, develop and debug at a cross-project level.
  • Required Experience
  • Data Engineering | 3+ years of designing & developing complex, real-time applications at enterprise scale; specifically Python and/or Scala.
  • Big Data Ecosystem | 2+ years of hands-on, professional experience with tools and platforms like Spark Streaming, EMR, Kafka.
  • AWS Cloud | 2+ years of professional experience in developing Big Data applications in the cloud, specifically AWS.
  • Preferred:
  • Experience with developing REST APIs
  • Experience to develop Spark streaming jobs to read data from Kafka.
  • Experience working with Google Analytics
  • Experience working with digital marketing platforms such as Facebook, Google Ads, and so on.


  • Build data pipelines and deriving insights out of the data using advanced analytic techniques, streaming and machine learning at scale
  • Work within a dynamic, forward thinking team environment where you will design, develop, and maintain mission-critical, highly visible Big Data applications
  • Build, deploy and support data pipelines into production.
  • Work in close partnership with other Engineering teams, including Data Science, & cross-functional teams, such as Product Management & Product Design
  • Opportunity to mentor others on the team and share your knowledge across the Cars.com organization


What are the main responsibilities of a Data Engineer III at Cars.com?

As a Data Engineer III at Cars.com, your main responsibilities include building data pipelines, deriving insights using advanced analytic techniques, working on Big Data applications, deploying and supporting data pipelines into production, collaborating with cross-functional teams, and mentoring others on the team.

What skills are required for a Data Engineer III position at Cars.com?

Required skills for a Data Engineer III at Cars.com include experience with query languages, data modeling, building ETL pipelines, proficiency in programming languages like Python, Scala or Java, understanding of Spark, knowledge of various file formats and compression techniques, experience with ETL schedulers and CI/CD pipelines, as well as excellent communication and collaboration skills.

What experience is necessary for a Data Engineer III role at Cars.com?

To be considered for a Data Engineer III position at Cars.com, you should have at least 3+ years of experience in designing and developing real-time applications, particularly in Python and/or Scala. Additionally, you should have 2+ years of hands-on experience with tools like Spark Streaming, EMR, Kafka, and developing Big Data applications in AWS Cloud.

What are some preferred skills for a Data Engineer III at Cars.com?

Preferred skills for a Data Engineer III at Cars.com include experience with developing REST APIs, working with Spark streaming jobs to read data from Kafka, familiarity with Google Analytics, and experience with digital marketing platforms such as Facebook and Google Ads.

The platform to simplify car buying and selling


Mission & Purpose

Cars Commerce is an audience-driven technology company empowering automotive that simplifies everything about buying and selling cars. The Cars Commerce platform includes the flagship automotive marketplace and dealer reputation site Cars.com, innovative digital marketing technology and services from Dealer Inspire, industry-leading trade-in and appraisal technology from AccuTrade, an exclusive in-market media network, and powerful and predictive AI technologies that enable more efficient and profitable retail operations. Cars Commerce is the essential partner to stay one step ahead in automotive.