Senior Software Engineer, Foundations Data Science - Experimentation
About The Position
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview About the Role We are seeking a Senior Software Engineer to join the Experimentation Platform team, where you’ll help shape the systems that drive data-informed product decisions. You’ll design, build, and evolve our internal A/B testing and metrics platforms, working closely with data scientists and engineers to ship user-facing capabilities, enable new experimentation methodologies, and develop tooling that empowers teams across the company to move faster and make better decisions. About the Team The Experimentation platform team powers decision-making across Instacart’s four-sided marketplace. Our team owns the experiment lifecycle, creating systems that automate workflows, surface insights, and scale across diverse domains. This is foundational infrastructure that helps teams move faster with trust in their results. About the Job You will be part of a small team, with a large amount of ownership and surface area given that the tooling is used by the entire company. You will work closely with other teams to understand their main pain points around experimentation and translate them into user-friendly and reliable solutions. You will have the freedom to suggest and drive new initiatives. You are expected to mentor other team members and be a champion of engineering excellence.
Requirements
- Strong sense of ownership, with the ability to independently drive work from problem definition to delivery, and a willingness to learn and adopt emerging, AI-first technologies.
- Solid experience with common data infrastructure technologies—such as Python, Airflow, Snowflake, and dbt—in a production environment.
- Experience contributing to a large, shared codebase and collaborating effectively with cross-functional partners, including data scientists, product managers, and engineers.
- Strong proficiency in SQL, with experience writing, debugging, and optimizing queries for analytical and production use cases.
- Strong knowledge of React and experience building and maintaining user-facing web applications.
- 6+ years of professional experience in a similar engineering role or technical environment.
Nice To Haves
- Bachelor’s degree in a relevant technical field (Computer Science, Electrical Engineering) or equivalent practical experience.
- A background in statistics or hands-on experience with A/B testing is a plus.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
