SnapTravel
Toronto
51-200 employees
Snapcommerce, is a message-driven commerce platform that uses AI to connect price-conscious consumers to the best promotions on mobile.
Prior Listings
Data Engineer
Data Engineer
This job is no longer open
About Us
Snaptravel is an AI commerce startup, allowing millions of users around the world to book their travel over messaging. By the end of 2021 we’re expecting to be driving $1B in revenue from travel and other exciting verticals beyond travel too (we’ll tell you more about those during the interview process)!
With a high-performing team of world class leaders, Snaptravel thrives on tackling complex problems within AI, Ecommerce, and Conversational Design to push the boundaries of the value we can add to our user’s lives!
At Snaptravel, we pride ourselves on the performance-driven environment we’ve created for our team to prosper and excel. Our values are rooted in making data driven-decisions and risk-taking actions that add value to both the user and the company.
We are looking for a Data Engineer with 2+ years of experience to join our growing Engineering team! As a Data Engineer at SnapTravel, you will be responsible for building highly reliable and scalable data platforms and pipelines You will have full control over ensuring the accuracy and integrity of all data, and will build pipelines, tools and predictive models to help drive insights and decisions in our Product and Growth teams! In this role you will have the opportunity to build scalable and highly available data pipelines using bleeding-edge tech and tools in one of Toronto’s fastest-growing Data Science teams, with a focus on thinking big and moving quickly.
Responsibilities:
- Help to evolve and scale our data platform, with an eye towards growth of our business and reliability of our data
- Help productionize machine learning models
- Work closely with the analytics and business intelligence teams, as well as other stakeholders from finance, sales, marketing, and product, to understand the data needs of the business and produce processes that enable a better product and support growth decision-making
- Generate architecture recommendations and the ability to implement themImprove, manage, and teach standards for code maintainability and performance in code submitted and reviewed
- Help evolve our CI/CD strategy for our ETL jobs and pipelines
Our Tech:
- We use an SOA architecture powered by many micro-services, including the bot platform, the NLP model and the real-time pricing and recommendation engine
- Data pipeline tools including Stitch, DBT, Airflow, Apache Spark, Snowflake, Looker
- We have a distributed ETL infrastructure hosted using Docker and AWS
Skills & Qualifications:
- You have at least 3 years+ of software/data engineering experience, at least 2 of which has been in a Data Engineering role
- You learn quickly, regardless of the languages and technologies used
- You always strive to build the minimally viable product before over-engineering
- You have experience building scalable data pipelines and powerful reporting tools
- You love solving complex problems with logical, well-architected solutions
- You are well-versed in data modelling and have experience building distributed systems
- Clear communicator who can gather technical requirements and explain technical intricacies
- Predictive modelling and machine learning experience is a strong plus
The Perks:
- Remote-first culture - work from home and deck out your workspace with our spending account
- Build something that matters, and contribute to building a product used by millions of users worldwide
- Benefit from equity stock options, a comprehensive benefits package with flexible Health Spending Account, and more
- We work flexible schedules to allow for optimal work-life balance. As you start to grow your family, we have a generous Parental Leave Policy to support you as well!
- In addition to collaborating with top global talent on lots of interesting projects, you'll also have fun working in a diverse, inclusive environment with constant support from both peers and leaders
We Believe in Equal Opportunity
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This job is no longer open