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Data Engineer

Business Analytics | Santa Monica, CA | Full Time

Job Description

At Edmunds we’re driven to make car buying easier.  Ever since we began publishing printed car guides in the 60’s, the company has been in the business of trust, innovating ways to empower and support car shoppers.  When Edmunds launched the car industry’s first Internet site in 1994, we established a leadership position online and have never looked back.  Now, as one of the most trusted review sites on the Internet, millions of visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car.  For consumers, we bring peace of mind. For dealers, we make tools to help them solve their problems and sell more cars.  How do we do it,  you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting-edge technology.  Want to join the team?  Read on to find out how!

 

What You’re Applying For:

Edmunds is looking for a data engineer to help us manage the data explosion dilemma! You will be joining a strong, determined and results-oriented Data Engineering team that is transforming Edmunds from IT to Data-driven. You will get hands-on experience solving complex data problems using Big Data frameworks and methodologies. You’ll be helping the company make sense of the torrent of data it receives, empowering analytics on existing products as well as providing insights on potential new opportunities for growth.

 

What You’ll Do:

● Create and maintain scalable, maintainable and reliable pipelines that process very large quantities of structured and unstructured data.

● Unify streaming and batch processing modes into one cohesive framework of processing including monitoring and alerting that fit into a unified and reliable Big Data infrastructure.

● Build streaming data pipelines that enable the business to adapt in real-time.

● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

● Regularly reviews work with/from peers with a goal of improving personal knowledge of the systems, ensuring that code changes meet business goals and technology best practices.

● Regularly interacts and collaborates with personnel across functions (product, technology, analytics, operations) within the assigned team and technology chapter.

● Work with stakeholders including the Executive, Product, and Data teams to assist with data-related technical issues and support their data infrastructure needs.

 

What You Need:

● Excellent problem solving, troubleshooting, and communication skills.

● Desire to learn new technologies.

● Demonstrated ability to design and write maintainable software

● Understanding of software engineering best practices, object oriented analysis & design,

and design patterns & algorithms

● Experience enhancing and evolving existing systems

● Have experience using some of the following software/tools:

○ Big data tools: Spark, etc.

○ Relational SQL and NoSQL databases, including Postgres, Databricks Delta

Lake and Hbase.

○ Data pipeline and workflow management tools: Airflow, oozie, etc.

○ AWS cloud services: S3, EC2, RDS, Redshift

○ Stream-processing systems: Spark-Streaming.

○ Object-oriented/object function scripting languages: Scala, Python, Java, etc.

 

Working @ Edmunds.com:

Employees think it’s a pretty great place to work and some pretty impressive publications think it is too: we’ve been recognized as one of the best places to work by the LA Business Journal, Wall Street Journal, Business Week Magazine and Architectural Record. If you’re interested in learning more and joining our mission, we’d love to hear from you!

 

Edmunds will consider for employment qualified candidates with criminal histories in a manner consistent with the requirements of all applicable laws.


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