Data Engineer

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! As a Data Engineer, you will architect and scale the foundational data platforms that power Edmunds' analytics, AI/ML initiatives, and business intelligence. You will be joining a strong, determined and results-oriented Data Engineering team that is transforming Edmunds from IT to real time data-driven. In this high-impact technical leadership role, you'll be helping the company make real time decisions based on the torrent of data it receives, empowering analytics on existing products as well as providing insights on potential new opportunities for growth. You aren't just maintaining pipelines; you are defining the architecture that dictates how Edmunds leverages data across the enterprise.

What You'll Do:
* Pipeline Architecture: Create and maintain scalable, maintainable and reliable data pipelines that process very large quantities of structured and unstructured data in both batch and real time.
* Platform Leadership: Enhance and maintain the data lakehouse that powers the core of the company's decision making process.
* Core Systems Engineering: Work hands-on with our transactions and pricing pipelines, building and optimizing data workflows using Spark, Databricks, SQL, Scala, and Python.
* Process Engineering: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
* Infrastructure & Cloud: Support infrastructure and build processes, working within AWS to deploy and maintain reliable, scalable data systems.
* Cross-functional Collaboration: Work with stakeholders including the Executive, Product, and Data teams to assist with data-related technical issues and support their data infrastructure needs.
* Technical Guidance: Design solutions, troubleshoot pipeline issues, and ensure data quality across critical business systems while collaborating with team members with a goal of improving personal knowledge of the systems, ensuring that code changes meet business goals and technology best practices.

What You Need:
* Programming Expertise: High proficiency in at least one object oriented or functional programming language (Almost all of our codebase is in Scala and Python ).
* Data Processing: Fluency in SQL and demonstrated experience writing ETL Jobs and working with data at scale.
* Streaming/Real-Time: Experience writing and maintaining real time / streaming data pipelines.
* Core Tooling: Familiarity with some of the following: Spark, Scala, Python, AWS, Databricks, Airflow.
* Software Design: Demonstrated ability to design and write maintainable software, paired with an understanding of software engineering best practices, object oriented analysis & design, and design patterns & algorithms.
* System Modernization: Experience enhancing and evolving existing systems.
* Professional Skills: Demonstrated problem solving, troubleshooting, and communication skills especially in a hybrid and remote environment.
* Platform & Deployment: Familiarity with cloud-based data platforms (particularly Databricks and AWS), CI/CD build pipelines.
* Desire to Learn: Desire to learn new technologies.

Nice to Haves:
Exposure to AI/ML workflows or an interest in integrating machine learning into data pipelines.

The compensation range for this position is $125,000 - $159,000 per year. The base pay will take into account internal equity as well as job-related knowledge, skills, and experience among other factors. In addition, Edmunds offers full-time employees a comprehensive total rewards package including the benefits listed below.

Edmunds Perks:
* Flexible time off
* 13 Paid Holidays
* Comprehensive Health Benefits (medical, dental, vision, life and disability)
* Flexible Spending Accounts (Employees) and Health Savings Accounts (Employee and Employer Contributions)
* 401K Plan with company matching at 100%, up to 6% of eligible salary with immediate vesting
* Stock purchase program
* CarMax vehicle discount
* Up to 4 months Paid Parental Leave
* HeartCash matches employee donations to the causes that are important to them
* 2 Days of Paid Time Off for time to dedicate to social impact causes
* FitCash covers a portion of gym or fitness activity fees
* Well-being sessions
* Employee Recognition Program
* On-going career development opportunities
* Pet insurance
* Sabbatical leave
* Education Reimbursement
* Pre-tax spending accounts for qualified transportation expenses

Working @ Edmunds.com:

Employees think it's a pretty great place to work and some pretty impressive publications think it is too: we have been recognized as one of the best places to work by Fortune Magazine, Great Places to Work, LA Business Journal, Newsweek, Computerworld, Built in LA, Inc. Magazine, The Wall Street Journal, Business Week Magazine, and Architectural Record. We've also been identified as one of the best workplaces specifically in Technology, for Diversity and Asian Americans, and as a Newsweek Most Loved Workplace for LGBTQ+ employees. 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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