Senior Data Engineer

OneSignal is a leading omnichannel customer engagement solution, powering personalized customer journeys across mobile and web push notifications, in-app messaging, SMS, and email. On a mission to democratize engagement, we enable over a million businesses to keep their users - including readers, fans, players and shoppers - engaged and up to date by delivering 12 billion messages daily. 

1 in 5 new apps launches using OneSignal! We support companies in 140 countries, including Zynga, USA Today, Bitcoin.com, Eventbrite, Tribune, and many more - from startups and small businesses just getting off the ground to established companies communicating with millions of customers.

We’re Series C, venture-backed by SignalFire, Rakuten Ventures, Y Combinator, HubSpot, and BAM Elevate. We offer remote work as the default option in the United States in California, New York, Pennsylvania, Texas, Utah and Washington. As well as in the UK and Singapore - with plans to expand the locations we support in the future. Some roles are hybrid roles and will be listed as such. We have offices in San Mateo, CA and London, UK, and offer flex seating options for employees to work together in-person where we don't have offices. Hiring in Singapore is done in partnership with a local PEO.

OneSignal has a lot of the great tech startup qualities you'd expect, but we don't stop there. Our massive scale and small team, emphasis on healthy life balance and kindness in all our interactions, and focus on ownership and personal growth make OneSignal a uniquely great place to work. 

About The Team:

The data team is a highly strategic and analytical team that helps guide and implement strategic initiatives across the company. We are looking for a Data Engineer to organize and scale our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.

What You'll Do:

• Design, build, and maintain business-critical data and distributed systems that will provide real-time and reliable data for all of our go-to-market tools and internal users
• Connect our production backend/data to business systems including Salesforce, Marketo, Intercom, Google Analytics, Metabase, etc. This can include working with a data warehouse/data lake, organizing large-scale data (we send 10 billion notifications a day), and building ETLs to business systems
• Evaluate ways to increase the efficiency of internal data flows and centralize sources of …