Senior Data Engineer

Toronto or Remote

PartnerStack

Grow your SaaS brand the easy way. PartnerStack helps you recruit, engage, and scale your entire ecosystem of partners — from affiliates to referral and reseller partners.

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About PartnerStackDo you thrive off connection and impact? Love to light up your brain and pick up new skills? Yearn for the chance to do things differently? If so, you’re our kind of person. 
PartnerStack is the only partnerships platform built for B2B SaaS. We’re the connection point between today’s fastest-growing SaaS companies and top-performing partners. Our mission? To change the way the world sells software — and with your help, we can get there faster!
At PartnerStack, we’re better together. We’re a bunch of doers who run on heart and humility, and maybe a little bit too much caffeine, too. But who’s judging? 
Nothing gets us more jazzed up than helping others and growing our skills in the process. And sometimes that means breaking things along the way to make them better. 
Want in? We’ve got plenty of room.
About you and the roleYou are resourceful, independent, and good-natured with strong communication skills and a strong level of technical ability. You are passionate about pulling large data sets and to allow data analysts to create insights through comprehensive reports and dashboards. You are not afraid to take on new technology challenges but crave working with latest tools and techniques. You do all of this with a smile and passion that makes not just your work outstanding but all the people around you.
We are looking for a Senior Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of designing and optimizing our company’s data architecture to support our next generation of products and data initiatives. 
What you’ll do- Design, develop, and maintain optimal data pipeline architecture - Work closely with the Data Analyst team to build pipelines which support meaningful business insights delivered through visualization tools to further our product and business goals- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources- Work with cross-functional stakeholders including the Executive, Sales, Marketing, Customer Success, Finance, and Product teams to assist with data-related technical issues and support their data infrastructure needs.- Work with data and analytics experts to strive for greater functionality in our data systems- Perform business analysis and requirements gathering to support a variety of data projects 
You're a great candidate if...- Significant experience in a Data Engineer role delivering business impact by building and optimizing ‘big data’ data pipelines, architectures and data sets - Advanced working knowledge of SQL databases, preferably Postgres- Experience with object-oriented/object function scripting languages: Python- Experience building for an early stage, tech startup- Experience with leadership cc mentoring to help build the best path forward- Experience implementing big data tools: Hadoop, Spark, Kafka, etc. - Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.- Experience with AWS or GCP cloud services.- Strong analytic skills related to working with unstructured datasets.- A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.- Strong project management and organizational skills.- Comfortable straddling working with Ops and Engineering- Nice-to-Have: Experience with Salesforce and data visualization tools (i.e. Looker and Periscope) 
Why you’ll love working herePartnerStack is a fast-growing startup revolutionizing how SaaS companies go to market and scale revenue with partnerships. Beyond challenging the status quo and innovating great products, our mission is to build a kickass company.
We make sure every member of our team gets what they need to feel energized about their work and enthusiastic to learn something new. That means you can experiment on your hunches, have the freedom to fail and bounce back stronger, and make a career of a lifetime.
Plus, PartnerStack is certified by Great Place to Work® Canada as one of the country’s best startups to work at based on their independent analysis of employee feedback.
Perks of working at PartnerStack- A digital-first environment, so you can do your best work anywhere in Canada - A new MacBook shipped to you and a budget for peripherals of your choice- Flexible working hours (in coordination with your team)- Budget for visits to our HQ in downtown Toronto for out of towners - Flexibility to work abroad for up to 8 weeks at a time- Regular social events, even while working remotely- Annual internet reimbursement- Annual peripheral refresh- Competitive salary and opportunities for promotion- High-quality health insurance, active from your first day- HSA and Wellness Accounts- Generous vacation and time off plan- Employee Stock Option Plan for everyone (ESOP)- RRSP with an employer matching component
Our HQAlthough we’re digital-first, that doesn’t mean you can’t do your best work with us at our downtown office in Toronto — if you want. 
Our office space (111 Peter Street, Toronto, ON) is open to all employees. Whether you join us in person or virtually, we’re committed to ensuring every new employee has a great onboarding experience and feels part of a tight-knit team.
DiversityWe are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, able­bodiedness or gender identity.
PartnerStack celebrates what makes every member of our team unique, and strives to create a workplace that is safe and inclusive where everyone can be their truest selves. If you require any accommodations to succeed in your role and feel supported in the workplace, please feel free to let us know. If you require accommodation for any reason, please let us know as we are more than happy to accommodate all.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow AWS Azkaban Big Data Data pipelines Data visualization Engineering Finance GCP Hadoop Kafka Looker Periscope Pipelines PostgreSQL Python Spark SQL

Perks/benefits: Competitive pay Equity Flex hours Flex vacation Gear Startup environment Team events Wellness

Regions: Remote/Anywhere North America
Country: Canada
Job stats:  10  0  0
Category: Engineering Jobs

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