Drop is a rewards platform on a mission to inspire people to live their optimal lives by empowering them financially. Through our personalized platform, Drop intelligently surfaces the right brands, at the right time, to make members’ everyday better than it was before. Powered by machine learning, Drop matches consumers with over 500+ partner brands to satisfy two main goals: to earn points from their purchases and redeem them for instant rewards.

Headquartered in Toronto, with an office in New York, Drop is backed by world-class investors including NEA, HOF, Royal Bank of Canada, Sierra Ventures, and White Star Capital.

To learn more, visit: www.joindrop.com, or follow us at @joindrop on Instagram and Twitter.

Data Engineering at Drop

Data Engineering is at the very core of how Drop's business works. Our mission is to make data readily and easily accessible to inform decision-making across all functions at the company. We enable this by designing and building reliable, scalable and maintainable data systems, such as our Data Lake, Data Warehouse and all the different pipelines used to transform or move data from one store to another. We process hundreds of millions of financial transactions daily, and the infrastructure we build supports both our B2C and B2B products.

As a team, we value code quality, testability, scalable engineering design, and continuous process improvement. We leverage modern technologies, such as Airflow, Spark, Python, Redshift, Snowflake, Terraform, and various AWS services (EMR, Glue, DMS, and more). We maintain an efficient development environment to keep productive and rapidly innovate. The Data Engineering team works closely with data scientists, data analysts, software engineers, and other stakeholders (marketing, business development) who partner as entrepreneurial peers on a daily basis.

You can learn more about our Engineering team's work by visitingDrop’s Engineering Blog.

As the Senior Data Engineer, you will

Design and build highly efficient and reliable data pipelines to power our data lake and data warehouse.
Architect and implement data systems to power high-performance analytics, machine learning and reporting applications.
Build a robust and automated testing framework across a wide variety of data stores to enforce data integrity.
Harden monitoring and overall orchestration of DAG execution in Airflow to achieve improved ETL processing times and system availability.
Implement access governance of production data systems to ensure compliance with our privacy and security policies.
Mentor and coach other data engineers.
Collaborate with our Data Science and Software Engineering teams to build data infrastructure that enables experimentation.

What you bring to the table

You have 5+ years of experience designing and building reliable, scalable and maintainable data systems at top-tier software companies.
You have experience building data pipelines and ETL flows using Python and a workflow management system like Airflow or Luigi.
You have led large technical projects that require collaboration with multiple functions to drive product and business outcomes.
You have experience building and maintaining data warehouses using Snowflake, Redshift or other similar systems.
You have a strong product mindset. You advocate for users when collaborating with stakeholders from other areas, but can make tradeoffs to account for business priorities.
You are resourceful and have a strong sense of ownership over your work.
You design and write testable and maintainable code to produce quality systems using software engineering best practices.

Bonus points if

You’ve worked with Airflow, Spark, Kafka, AWS (in particular EMR), Iceberg and/or Terraform.
You have experience designing data stores to power BI platforms (for example, Looker).
You’ve built financial, loyalty, or rewards systems.
You’re passionate about building the next generation rewards product.
You thrive in a fast-paced environment; startup experience is not a strict requirement but a bonus. Drop welcomes people from all work backgrounds and recognizes the value of diversity.

Benefits

Lifestyle Spending Accounts and Health Spending Accounts + drug, dental, travel, and group insurance coverage
Flexible vacation + a work-anywhere-in-the-world program
Parental leave benefits
Stock options

At Drop, we're committed to providing an enjoyable and meaningful environment for every member of our team. We operate under a flat structure with minimal hierarchy where everyone’s opinion is valued equally. We are looking for team members with an entrepreneurial mindset who will thrive in a fast-paced and rewarding environment.

Drop Technologies, Inc. is proud to be a diverse and equal opportunity employer and as such does not discriminate on the basis of race, colour, religion, sex, national origins, age, sexual orientation, disability or any other characteristic protected by applicable laws. Selection decisions are solely based on job-related factors.

Apply for this job

Drop remote jobs

Senior Data Engineer

Client Success Manager

Data Science, Investment Research