Sr. Data Engineer I

Be essential at Cars Commerce

At Cars Commerce, we’re fanatical about simplifying everything about car buying and selling. We do right by our customers and consumers to better connect the industry with simplified and tierless technology to enhance, measure and drive local automotive retail. Whether through our No.1 most recognized marketplace, Cars.com, our industry-leading digital experience, Dealer Inspire, our trade and appraisal technology, AccuTrade, or our new Cars Commerce Media Network, Cars Commerce is essential for success in the automotive industry.  

No one ever travels alone here: at its core, Cars Commerce is collaboration. In fact, it’s built into the very fabric of our shared values. We like to say we Rise Together – putting people at the center of what we do, from consumer to customer to community. Life at Cars Commerce makes it easy when we share the ethos to be Open to All, encouraging open-minded communication because we know diverse thinking yields better outcomes. But critical to our success is Caring to Challenge and Taking Ownership, fueling a competitive spirit in a respectful environment where we think about tomorrow but act today. At our foundation, we have integrity, Doing the Right Thing, even when it’s hard. It’s our shared commitment to these values that makes Cars Commerce a place where growth becomes not only possible, but downright unavoidable.

But don’t take our word for it. As a U.S. News & World Report Best Company to Work For in 2024, we're obsessive about the employee experience. We are among the top 20% being declared “Best” of our industry based on six critical factors that are important to employee wellbeing, like quality of pay, benefits, work life balance and more.

About You:

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.

Responsibilities Include:

• 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 and Machine Learning applications

• Build, deploy and support data pipelines and ML models 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

Required Skills

• Ability to develop Spark jobs to cleanse/enrich/process large amounts of data.

• Ability to develop jobs to read from various source systems such as kafka, databases, API's, files etc.

• Experience with tuning Spark jobs for efficient performance including execution time of the job, execution memory, etc.

• Sound understanding of various file formats and compression techniques.

• Experience with source code management systems such as Github and developing CI/CD pipelines with tools such as Jenkins for data.

• Ability to understand deeply the entire architecture for a major part of the business and be able to articulate the scaling and reliability limits of that area; design, develop and debug at an enterprise level and design and estimate at a cross-project level.

• Ability to mentor developers and lead projects of medium to high complexity.

• Excellent communication and collaboration skills.

Required Experience

• Data Engineering |  6+ years of designing & developing complex applications at enterprise scale; specifically Python, Pyspark and/or Scala. 

• Big Data Ecosystem | 4+ years of hands-on, professional experience with tools and platforms like Spark, 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 in deploying ML models into production and integrating them into production applications for use.

• Experience with machine learning / deep learning using R, Python, Jupyter, Zeppelin, TensorFlow, etc.

• Experience with developing real time data analytics using Spark Streaming, Kafka, etc.

#LI-KO1 #LI-Remote

Salary Range

Our Comprehensive Benefits Package includes:

• 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!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. California Applicants: Click here to review our California Privacy Policy for Applicants. For current employees, please click here to review our California Privacy Policy for Employees.