Bandit Running

Compensation

Full Description

Bandit Running is a pioneering technical performance brand committed to creating innovative, high-quality apparel & gear for goal-driven runners. Our mission to “Evolve Running” guides everything we do, always putting the needs of the global running community first. As the fastest-growing brand in the sport, we challenge conventional brand-building norms, prioritizing an extremely high-bar for disruptive excellence across product, experiences & content. Our vision is to build an enduring, iconic brand that breaks down barriers & inspires greater passion & participation in the sport we love. We are seeking a Senior Data Engineer / Analytics Engineer (Contract) to help architect and build the next generation of our backend data systems. This role will partner closely with our Head of Data to design and implement an analytics foundation that powers new models, analyses, KPIs, and AI-driven workflows across the company. This is a hands-on builder role. You’ll be responsible for building reliable, recurring data pipelines, transforming raw data into durable analytical models, and helping shape how Bandit structures data for long-term scalability, including AI-first consumption. Responsibilities: Collaborate on and help define Bandit’s data architecture, tooling choices, and long-term data strategy. Execute on that strategy by building reliable ELT pipelines into Snowflake using Airbyte out-of-the-box & custom connectors Transform raw source data into clean, well-modeled analytical tables using dbt Translate business context to create enriched data stores from new source tables Build context and semantic layers on top of new data sources to enable self-serve analytics and agentic / AI-driven use cases. What we’re looking for: 5+ years experience in data engineering or analytics engineering roles Expert SQL skills; comfortable modeling complex business logic Experience and opinions on data architecture decisions, tradeoffs, and tooling Good translator of business operations / problems into data schematics AI-oriented data builder Experience working in Snowflake, dbt, data ingestion tools (i.e Airbyte) and Airflow Success in this role looks like shipping durable, well-modeled datasets that become the default foundation for analytics, operations and AI-driven workflows across Bandit. Fully Remote ~20 hours / week, 12-16 week contract Flexible hours (must be available to meet virtually 1 day / week) $100-150 / hour (depending on location and years of experience) At Bandit, we’re building an incredible culture rooted in our three core values—Trust, Empathy, & Excellence. We believe that in order to build the best team, our baseline is an environment where everyone can bring their full & authentic selves to the table. We are committed to fair hiring practices where we hire team members for their potential & advocate for diversity, equity, & inclusion. We do not discriminate based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class.