Data Analytics Engineer
IT and Operations | Vancouver, Canada | Full Time
Dialpad's product suite covers the full range of modern business communications needs with Dialpad Talk, Support, Sell, and UberConference. All products are powered by VoiceAI, Dialpad's proprietary technology that helps companies unlock conversation insights, improve productivity and drive better performance across teams.
Who we are:
At Dialpad, we're a team of doers. A team that thinks outside the box and when that doesn't work, we reinvent it. We don't settle for the status quo, and neither do the things we build. Led by the same minds behind Google Voice, we create products that get businesses talking—whether it's across the hall, street, or country.
With $120 million in funding from ICONIQ Capital, Google Ventures, Andreessen Horowitz, Scale Ventures and other top VC’s, Dialpad attracts top talent from iconic companies like Microsoft and Google as well as powerhouse startups like Hootsuite, Weebly and Anaplan. Every member of our team plays an essential role in creating dynamic products that don’t just combine design and mobility but works with you wherever productivity may strike.
About the role:
We are seeking a Data Engineer to join our Analytics team, which serves company-wide needs for reporting and analysis, from quick ad-hoc requests to predictive modeling, and anything in between. Reporting to the Director of Data Analytics, this role will be focused on building and maintaining data architecture including data pipelines that span a wide tech stack, empowering other Analytics team members and other stakeholders with challenging data wrangling and generally helping the company move to the highest possible levels of automation and data quality.
You’ve got strong technical skills, you’re humble, you’re eager to help, and you’ve got hustle. You make sure what you deliver to your stakeholders is on target, and you validate your results thoroughly, making sure everything you put out is something you’re proud to have your name on.
Construction, automation, and maintenance of data pipelines
Creation and maintenance of high-integrity data architecture in the enterprise data warehouse
Reconciliation and investigation of data integrity issues, both inside and outside the products maintained by the Analytics team
Ensure transparency of all data flows in the organization by making sure code and other deliverables are well-commented and easy to find
Assisting the implementation of a cutting-edge data workflow management system
Creation of scripts and light applications to increase the productivity of the Analytics team
Collaborate with engineers and owners of related applications to communicate Analytics needs and ensure proper interpretation of source system data
Minimum BA/BSc in Computer Science, Economics, Business, or other quantitative disciplines
MSc in Computer Science or Analytics or other demonstrated advanced skills in computer science
Highly proficient in SQL (BigQuery experience is a bonus)
Experience with wide data varieties including CRM, finance, and assorted transactional/activity data from other production systems
Familiarity with ML (machine learning) algorithms and ML pipelines
Highly proficient in data analysis with Python, R, or other programming languages (Python preferred)
Experience with BI tools such as Domo, Tableau, PowerBI, or similar (Domo preferred)
Eager and quick to learn new technologies and skills
Strong curiosity about the business and a business value mindset on every project
3-5 years of experience in Analytics or Data Engineering
Experience with Google Cloud Platform is a bonus
Experience automating analytical workloads (ideally with Apache Airflow or similar)
Joining our team means collaborating with people that aren’t just passionate about their work but about Argentine tango, musicals, sushi burritos, comic books - you name it. Because if you’re going to redefine the status quo, you need a group of people hungry to do more, to see more, and be more than where they started.
There is no idea too crazy and no task too small — we work together to make things we’re proud of.
Compensation & Equity
Teamwork makes the dream work. We recognize that our dedicated team members are what make our success. That’s why we offer competitive salaries in addition to stock options.
An apple a day keeps the doctor away - and it doesn’t hurt that we offer 100% paid medical, dental, and vision plans for you and your dependents.
We offer a monthly stipend to help cover your cell phone, home internet, and even gym membership costs.
We believe in your future as much as you do! That's why we offer a yearly stipend for continued learning and education expenses.
Bon Appetit! Enjoy catered lunches, free snacks & drinks (both healthy and unhealthy - no judgment!)
Location, Location, Location
San Francisco <> San Ramon <> Austin <> Raleigh <> Vancouver <> Kitchener <> Tokyo <> New York <> Bangalore. From coast to coast, our offices are nestled in active and growing downtown areas
Dialpad is an equal opportunity employer; we believe in creating a community of inclusion and an environment free from discrimination or harassment.