We’re looking for a Data Engineer to help us scale our data ecosystem as Relay enters an exciting new chapter of growth. This is a unique opportunity to be responsible for key aspects of the evolution of our data and analytics stack as the company grows. You’ll have a dedicated interest in ensuring our teams have access to the right data at the right time in order for us to make the best decisions for our customers. Please note that we are a hybrid environment and choose to collaborate in the office twice a week.
What You’ll Be Doing:
What You’ll Bring:
Bonus Points:
Research shows that women-identifying and other marginalized individuals tend to only apply when they meet 100% of the qualifications. If you don’t have all the listed qualifications, we encourage you to apply anyway, and together we’ll figure out if this is the best role for you!
Our Commitment To You:
The Interview Process
Stage 1: A 30-minute Google Meet video call with a member of the People team
Stage 2: A 45-minute technical deep dive via Google Meet with our Director of Data
Stage 3: A 60-minute case study presented via Google Meet to a technical panel of stakeholders
Stage 4: A 30-minute Google Meet video call with the CEO of Relay
What’s Important to Us:
At Relay, we believe that diversity is key to building high-performing teams, and creating an inclusive work environment is our priority. We are an equal-opportunity employer and we welcome people of diverse backgrounds, perspectives, and skills.
We will work with applicants to provide accommodations at any stage of the hiring process. If you require accommodations during the interview process, please email your People Team contact, and we will work with you to meet your needs.
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