Senior Data Engineer

OneSignal•United States (Remote),

3d•$170,000 - $190,000

About The Position

The operations team is a highly strategic and analytical team that helps guide and implement strategic initiatives across the company. We are looking for a Data & Analytics specialist to connect and organize our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts. The ideal candidate will have some background in data engineering.

Requirements

6+ years of professional experience in a technical area at a high growth startup is preferred
Proficiency with Python
Self driven and ability to identify problems and implement and identify solutions
A combination of technical and business acumen. The ideal candidate would have an understanding of SaaS metrics and growth company infrastructure scaling challenges
Strong interpersonal and communication skills and experience working cross functionally

Nice To Haves

experience with DBT and Airflow is a plus
The ideal candidate has had experience growing and managing a smaller but high functioning team

Responsibilities

Design, build and maintain business-critical data and distributed systems that will provide real time and reliable data to 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 truth
Innovate, design, and build data systems, services, and tools using GCP (Google Cloud Platform) that scale with OneSignal’s products and business requirements
Work cross functionally including with the backend engineering team as well as business teams including operations, product, marketing, sales, customer success, support, finance, etc.
Analyze the data and create data insights and business insights to help move the business as well as assist and empower teams across the company in making data related decisions.
Build data science / machine learning models using internal and external data sources to identify potential new customers, those who are at risk of churn or those with potential upsell opportunities
Work with Airflow, DBT, Presto, Hightouch and introduce the latest tools into our technology stack. Potentially, figure out how to incorporate artificial intelligence into our technology stack.