Data Engineer III

January 31

Cars.com

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Driving the future of automotive retail.

Digital Marketing • Automotive Online Advertising • Automotive Industry • Mobile Marketing • Automotive Online Marketplace

1001 - 5000

Description

• 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

Requirements

• 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. • 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.

Benefits

• Medical, Dental & Vision Healthcare Plans • 401(k) with Company Match + Immediate Vesting • New Hire Stipend for Home Office Set-Up • Employee Stock Purchase Program • Generous PTO • Refuel - a service based recognition program where employees receive additional paid time away to learn, grow and reset • Paid Holidays, Floating Holiday, Volunteer Day, Recharge Day • Learn more about our Benefits, Perks, & Culture on our LinkedIn Life Pages !