You need 3+ years experience in data/software engineering, proficiency in SQL/Python/Scala, ETL schedulers, AWS/cloud services, analytical tools, source code management, and CI/CD pipelines for this Analytics Engineer III role.

You will codify raw data, work with product and marketing teams, build integrations, maintain documentation, improve data trust, and be the tag management expert.

Data

Large

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.

Cars Commerce

The platform to simplify car buying and selling

Data is the driver for our future at Cars Commerce. We’re searching for a collaborative, analytical, and innovative engineer to build scalable and highly performant platforms, systems and tools to enable innovations with data. If you are passionate about building large scale systems and data driven products, we want to hear from you.<ul><li>The Analytics Engineer within the Consumer Data Platform team focuses on enabling cars commerce to make informed and timely product decisions and also improve our marketing efficiencies and reach. The role sits at the intersection of software engineering, data engineering, and analytics (product and marketing) teams. You will be responsible for extracting, transforming, and integrating data and/or working with business partners. Utilizing analytics engineering tools and techniques , you will work in role that requires both the business acumen and contextual understanding of a data analyst and the technical skillset of a data engineer. You will be the subject matter expert of various datasets within the consumer domain.</li></ul>Responsibilities Include:<ul><li>Codify the intent and context, implement data integrations and apply governance in the raw data to enable analytics and machine learning teams to build applications and drive insights.</li><li>You will work with Product and Marketing to understand data applications and their relationship to business outcomes in depth. They will also work with other tech teams to develop and maintain the transformation layer using an engineering-first approach.</li><li>You will also own the architecture of the integrations involved in CDP, rETL solutions and event generation systems. They will also maintain the documentation of business logic involved in transforming raw data.</li><li>You will build assets that help improve trust in data (bot, ad-blocker logic) while also making data more accessible and explainable (helping teams understand u’sers’ intent behind activities).</li><li>Be the resident expert in tag management.&nbsp;&nbsp;</li></ul>Required Skills<ul><li>Experience with one or more query language (e.g., SQL, PL/SQL, DDL, HiveQL, SparkSQL)</li><li>Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.</li><li>Experience with any of ETL schedulers such as Airflow or similar frameworks.</li><li>Experience with source code management systems such as Github and developing CI/CD pipelines with tools such as Jenkins, Github Action or CircleCI for data.</li><li>Excellent communication and collaboration skills.&nbsp;</li><li>Ability to design, develop and debug at a cross-project level.</li><li>Experience in the AWS (or any cloud services provider) environment and modern developer first data stacks like Rudderstack, Hightouch etc.&nbsp;</li></ul>Required Experience<ul><li>Data or Software Engineering | 3+ years of designing &amp; developing complex, real-time applications at enterprise scale; specifically Python and/or Scala.&nbsp;</li><li>Analytics Ecosystem | 2+ years of hands-on, professional experience with analytical tools and platforms like Adobe, Amplitude or Google Analytics.</li><li>AWS (preferred) Cloud | 2+ years of professional experience.</li></ul>

Data is the driver for our future at Cars Commerce. We’re searching for a collaborative, analytical, and innovative engineer to build scalable and highly performant platforms, systems and tools to enable innovations with data. If you are passionate about building large scale systems and data driven products, we want to hear from you.The Analytics Engineer within the Consumer Data Platform team focuses on enabling cars commerce to make informed and timely product decisions and also improve our marketing efficiencies and reach. The role sits at the intersection of software engineering, data engineering, and analytics (product and marketing) teams. You will be responsible for extracting, transforming, and integrating data and/or working with business partners. Utilizing analytics engineering tools and techniques , you will work in role that requires both the business acumen and contextual understanding of a data analyst and the technical skillset of a data engineer. You will be the subject matter expert of various datasets within the consumer domain.Responsibilities Include:Codify the intent and context, implement data integrations and apply governance in the raw data to enable analytics and machine learning teams to build applications and drive insights.You will work with Product and Marketing to understand data applications and their relationship to business outcomes in depth. They will also work with other tech teams to develop and maintain the transformation layer using an engineering-first approach.You will also own the architecture of the integrations involved in CDP, rETL solutions and event generation systems. They will also maintain the documentation of business logic involved in transforming raw data.You will build assets that help improve trust in data (bot, ad-blocker logic) while also making data more accessible and explainable (helping teams understand u’sers’ intent behind activities).Be the resident expert in tag management.  Required SkillsExperience with one or more query language (e.g., SQL, PL/SQL, DDL, HiveQL, SparkSQL)Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.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, Github Action or CircleCI for data.Excellent communication and collaboration skills. Ability to design, develop and debug at a cross-project level.Experience in the AWS (or any cloud services provider) environment and modern developer first data stacks like Rudderstack, Hightouch etc. Required ExperienceData or Software Engineering | 3+ years of designing & developing complex, real-time applications at enterprise scale; specifically Python and/or Scala. Analytics Ecosystem | 2+ years of hands-on, professional experience with analytical tools and platforms like Adobe, Amplitude or Google Analytics.AWS (preferred) Cloud | 2+ years of professional experience.

Analytics Engineer III

Requirements

Responsibilities

FAQs

What is the primary focus of the Analytics Engineer III role at Cars Commerce?

Cars Commerce

Mission & Purpose