Data Engineer III
United States, Remote
Full Time Senior-level / Expert USD 107K - 145K
Cars.com
Find the perfect car for your needs at Cars.com. Shop new and used cars, sell your car, compare prices, and explore financing options to find your dream car today!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 the Role:
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
- 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.
- 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 developing Spark streaming jobs to read data from Kafka.
- Experience developing REST APIs
- Experience in deploying machine learning models into production and integrating them into production applications for use.
In the spirit of pay transparency, we are excited to share the base salary range for this position which is not inclusive of bonuses, benefits or other forms of compensation that the position may be eligible for. If you are hired at Cars Commerce, your final base salary compensation will be determined based on factors such as skills and/or experience. If the salary range is close to what you're seeking, then we encourage you to apply and learn more about the total compensation package for this position.
Salary Range$107,440—$145,360 USDOur 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.
Tags: Airflow APIs AWS Big Data CI/CD Data pipelines DDL Engineering ETL GitHub HiveQL Java Kafka Machine Learning ML models Pipelines Privacy Python Scala Spark SQL Streaming
Perks/benefits: 401(k) matching Career development Competitive pay Flex vacation Health care Home office stipend Transparency
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