This job might no longer be available.

Data Engineer

2 years ago

The SuperAwesome Mission

Our mission is making the internet safer for kids. We’ve pioneered the kidtech sector: technology built specifically for engagement with children, with privacy and responsibility at its very core. Every month SuperAwesome technology powers over 12 billion digital engagements with kids across video, community, advertising and parental consent. We have the biggest kidtech team on the planet, focused on solving the challenges of engagement with the under-16 audience. At the intersection of technology, law, media and policy, working with us gives you a chance to shape what the internet of the future looks like. It’s a unique, challenging and rewarding environment.

WHAT WE DO

Joining the Epic Games family is propelling the kidtech sector to new heights.

Our teams are growing rapidly and we’re hiring a Data Engineer to take our products to the next level of scale.

Quality is key for us, so you will ensure all product components are built to an appropriate level of quality for the stage (alpha/beta/production), deliver products using the appropriate level of testing and monitoring, fail fast, and learn and iterate frequently.

WHAT YOU'LL DO

As a Data Engineer at SuperAwesome your main responsibilities will be three-fold: you’ll act as a hands-on mentor who can lead teammates by example, you will keep the quality bar high by continuously evolving the system while keeping it simple, and you will focus on having the highest impact on the product.

You will join one of our Data and Analytics team, and will work on developing our first "single source of truth" data analytics solution together with the Product Manager as well as our internal facing platform teams.

You will work closely with the Tech Lead and the other engineers in your team to define the appropriate technical approach, metrics, and timelines. You will have your say in the product roadmap and help the team and the Product Manager to make the most informed decisions to break down complex tech deliverables into simple and understandable user stories.

You will champion continuous improvement and always aim to improve the product your team owns and measure your impact with the appropriate tech, product, or delivery metrics.

In this role, you will

Work across the full stack depending on where you can drive the highest impact: from ETL pipelines to data warehousing to visualizations, as well as testing and cloud infrastructure
Work with your team to design and implement features and services for the data analytics solution, and keep the design choices well documented and explained
Be a hands-on mentor and drive quality and reliability from the get go, lowering the complexity of the system
Master one or more domains and will break complex goals into simple and iterative deliverables
Interview candidates for your and other teams, participating to both code reviews and system design interviews
Commit to high-speed iterations, high code quality, and continuous improvement via agile processes
Ensure long-term quality, scalability and maintainability of our systems
Champion the DevOps culture, treat operations with a mission critical mindset, and support the live system in production, including participation in our out-of-hours on-call rota

Our stack is entirely cloud native, and it includes technologies such as Python and PySpark, AWS, Presto, Snowflake, Tableau, Terraform, Kubernetes, Kafka, PostgreSQL, Druid, Redis, Sumologic, Datadog, Pagerduty. There will be an opportunity to work with ML as well, and it might be helpful if you have any experience with statistical modeling or machine learning libraries in either Python or R.

What we're looking for

We wholeheartedly believe a good engineer can pick up any new technology in a reasonable amount of time and you’ll be given training and help during your onboarding to become fully proficient with our stack. What we expect you to already have is good will, as well as a deep understanding of data systems development life-cycle, DevOps methodologies, testing, and tooling.

We’ll ask you about your previous experiences building large and complex high-throughput data systems, and we’ll hear the stories you’ll be willing to share about microservices, event-driven architectures, databases, or any tech challenge you’ve enjoyed.

We’ll want to know how you went about improving the quality, security, scalability, and observability of the products you worked on, and how you would try to repeat that success at SuperAwesome.

DevOps practices are an integral part of our culture, and we’ll want to hear what aspect of them you prefer, and what worked well for you out of the box, or how you adapted them to your needs.

In a nutshell, we’re looking for a great engineer, and we’ll do our best to identify the greatness in you ❤️

Want to know more?

Check out our Head of Engineering’s Blog and what he says about our team, writing kid-tech code and some pointers to gliding through our interview process.

SuperAwesome wants to ensure that our team, customers and partners are always as safe as possible. As we continue to grow the business over the coming weeks, we are moving to a virtual hiring model for all recruitment. We’re having to make some changes to our usual processes but if you’d like to apply for one of our roles, we’ll be sure to give you a SuperAwesome experience. We’re hiring in all of our offices globally and across almost all teams. So if you’re an amazing Engineer, Account Manager or Sales person and want to make the internet safer for kids, come and talk to us, virtually, of course!

Create Your Profile — Game companies can contact you with their relevant job openings.

Apply