Enabling every company to automate B2B trade
We are seeking a Senior Data Engineer to work with Convictional leadership to ensure Data strategy aligns with organizational strategy. Our Senior Data Engineer will:
Own development, ongoing maintenance and iteration of Convictional’s SQL compliant data warehouse/lake including schema and table modeling, source integrations or pipeline development
Work with Customer, Product and Engineering stakeholders to model raw Customer tool, MongoDB platform data and other applicable sources according to these Stakeholder analytics needs
Assist with development of new data pipelines including ML applications and real time or near real time techniques
Coach and enable internal analysts and other users of Data to adopt best practices and upskill techniques. Act as an evangelist for data and analytics within Convictional
About you:
Strong understanding of data architectures, particularly Kimball approach to relational data modeling
Experience with performant data architecture and methodologies including real time or near-real time data architectures
Has experience with real time or near real time data pipelines, with a focus on performance and scalability
Able to move at pace with an experimental mindset - understands that perfect is the enemy of good and willing to ship and iterate while planning for the long term.
Strong understanding of statistical and analytical concepts - but not necessarily directly responsible for deployment of predictive models
Strong opinions, loosely held
Understanding of the product development process - experienced with GitHub and able to interact with our Product and R&D teams
Experience:
Experience with product management and SaaS R&D process
5+ years experience in an Data Engineer or Data Scientist role
Mathematics or statistics background (University or in practice)
Digital commerce domain experience: Wholesale, B2B, OMS, PIM, Dropship, Supply Chain
Skills with Python, MongoDB, Go
Compensation:
$130 - 150k + Stock options
Comprehensive benefits, including Healthcare Spending Account
WFH stipend, learning budget, and corporate cards to ensure you’re never waiting for reimbursement
3 weeks paid vacation + one week shut down at the end of the year
Our interview process involves a screen, followed by 3 longer team interviews, and finally a founder interview. We will update you as soon as we come to a decision after each round. Details on this process are as follows:
Screen: a 20 minute exploratory interview with the primary hiring manager for the role. This helps us to mutually assess fit and gives you the opportunity to ask any questions you have about Convictional.
Work assignment: most processes will include a 60 minute assignment modeling something you’d be working on in the role. You’ll review this in your team interviews.
Gauntlet: a series of three 40-minute interviews with potential team members. This helps us to assess your strengths, how you work, and learn about your experiences. This will also serve as an introduction to some of your potential team members.
Founder Interview: a 20 minute interview with one of our founders. This will give you the opportunity to ask any lingering questions you have about Convictional.
Reference checks, then offer!
We look forward to hearing from you!
Convictional is a Y Combinator-backed start-up building an industry-leading solution for B2B trade. We exist to make trade easier for buyers and their suppliers in B2B transactions by automating the traditionally labour-intensive B2B process.
Our team is entrepreneurial, with a bias for action. We never back down from a spirited debate and believe we are all responsible for exploring the hard questions. We value self-awareness and meaningful impact. We are open to unconventional approaches, and have learned not to judge a book by it’s cover.
Your time is your most valuable resource, so you set your hours. We do not use chat and default to zero meetings. We document everything. We expect you to go to coaching or therapy at least occasionally and adhere to 10% compound time.