Teikametrics is a leading maker of e-commerce AI. We help independent brands (both large and small) optimize their advertising, forecast demand, detect product issues and maximize overall profitability. While still at startup size (<150 employees), the company has significant annual-recurring-revenues and has recently raised a Series A investment to fuel growth. Teikametrics is on target for over 100% revenue growth for its second year in a row. Over 50% of all e-commerce sales are by independent, third-party sellers. The majority of these sellers are flying blind with nothing but basic spreadsheet software with which to manage their business. Our AI helps these sellers by providing deep performance analytics at a product level, as well as support for complex decision-making through a combination of econometrics and machine-learning. Teikametrics offers competitive compensation and our benefits include a matching 401(k) plan, quarterly bonuses, unlimited vacation, and stock options. Our culture emphasizes a sustainable work-life-balance and creativity rather than long-hours, and our team is organized to provide a high level of support and 1:1 mentorship for developers at every level. About the Role Teikametrics is looking for an engineer to join our Analytics Platform team. The team is responsible for delivering analytics-ready data and visualization tools to both internal and external users. The role will be responsible for maintaining and improving our data warehouse and ELT processes, as well as building tooling to verify the integrity of the data and support the display of analytical queries to the users. Additionally, data science and research teams internally consume much of the same data for statistical modeling efforts, and would be clients of the Analytics Platform team. The current stack is powered by a data warehouse in Snowflake at the core with the data being surfaced in Mode and Sigma and transforms managed by DBT (Python, SQL). Extract and load operations are performed in our Scala backend for bulk data and Stitch for smaller sundries. This engineer is expected to make improvements to the existing stack and work with the lead on major changes to the stack as we build out more sophisticated capabilities. Qualified candidates should have: * 3+ years of experience working as a professional software developer. * Strong SQL/RDBMS skills and an interest in serving analytics at scale. * Strong Python skills, with exposure to the scientific stack and visualization packages preferred. * A desire to work in a collaborative environment focusing on continuous learning; participating in tech talks, code review, and some pair programming.