Senior Data (BigQuery) Engineer

About Rabbit Rabbit is a GCP cost-optimization and automation platform that helps enterprises make BigQuery and other GCP workloads truly cost-efficient. We combine deep platform intelligence, automation, and generative AI to turn cost insights into action.The Challenge: Enterprises are spending millions on BigQuery without truly understanding where the waste is. Traditional tools provide surface-level metrics. We're building the intelligence layer that finds hidden inefficiencies and automatically fixes them.Role OverviewIf you love data engineering for the impact, not just the tech — this is your role.You'll be at the core of Rabbit's mission: researching and delivering innovative ways to reduce BigQuery costs through deep insights and automated optimization features. You'll build intelligent systems that help enterprises save millions — using data pipelines, GCP APIs, and algorithms you design yourself.The opportunity: This isn't about maintaining someone else's ETL jobs. You'll research cost optimization strategies, prototype algorithms, and watch your ideas turn into features that customers actually use. Your pipeline optimization could save a customer millions a year. That's the kind of impact we're talking about.In our startup environment, you're not just implementing specs — you're discovering the problems worth solving and building the solutions. We expect you to bring bold ideas, challenge assumptions, and build data systems that create real business value.What You'll DoBuild and maintain data pipelines that power Rabbit's BigQuery cost and usage analyticsResearch, design, and implement automated cost-saving features that deliver measurable value to customersDevelop deep cost insights and anomaly detection capabilities to help customers understand and control their BigQuery spendingCollaborate with architects to design robust data models and ETL flows that scaleEnsure the accuracy, reliability, and performance of Rabbit's data pipelinesContinuously improve efficiency — both in pipeline performance and in cost outcomes for customersInvestigate and resolve real-life customer issues, debugging data pipelines and cost anomalies to ensure accurate insights and optimizationOccasionally interact directly with clients to troubleshoot complex issues, understand their unique use cases, and validate solutionsWhat We're Looking For5+ years in data engineering or data platform developmentStrong SQL skills with deep BigQuery experience — you should know BigQuery internals, not just basic queriesComfortable with application development (Java or Node.js) — you won't be writing backend services daily, but you shouldn't be afraid to jump into the codebase when neededHands-on experience with DBTFamiliarity with cost optimization, performance tuning, or query execution planningComfortable working in a small, fast-moving team with autonomy and accountabilityBonus: experience with GCP cost management or automation frameworksWhy Join RabbitFor data engineers who want to build, not just maintain:Your algorithms in production, not in notebooks: Stop doing proof-of-concepts that never ship. Here, your optimization algorithms go straight to production and save customers millions. You'll see the direct ROI of your workResearch meets reality: You'll spend time researching BigQuery internals, testing optimization theories, and building features based on your discoveries — not just running someone else's playbookOwnership from day one: Design your own pipelines, choose your own tools, architect your own solutions. We trust senior engineers to make senior decisionsWork with cutting-edge at scale: BigQuery optimization at petabyte scale, real-time anomaly detection, cost prediction algorithms — these are hard, unsolved problems. Perfect if you're bored with CRUDLearn and grow fast: Work alongside data architects and senior engineers who will challenge you. Shipping to Fortune 500 companies will level you up faster than any course ever couldNot for everyone. Perfect for you if: You're driven by impact, not comfort. You'd rather tackle hard problems with smart people than easy problems alone. You want your work to matter.