Data Engineer | Power

What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a GlanceAs a Data Engineer, you will build and evolve the data backbone of an AI-first product spanning document intelligence, time-series IoT data, and agentic AI systems. This is a highly hands-on, end-to-end role for someone who thrives in early-stage ambiguity, is comfortable working close to models and customers, and wants to directly shape how data and AI are used in production.This role will initially focus on the power industry, where your work will directly support the reliable operation of power plants used by millions of people every day.What you will doYou will design, implement, and operate data systems across the full lifecycle—from raw ingestion to AI-driven outputs used by customers in the real world. You’ll work directly with customers and internal stakeholders to understand real problems, translate them into technical solutions, and iterate quickly. You’ll build pipelines that support document processing, sensor data, and ML workflows, contribute to feature engineering and model experimentation when needed, and own systems in production. You’ll make pragmatic architectural decisions, improve reliability over time, and help define best practices as the team and product scale.Technologies We UsePython, SQLCloud-native data and GenAI tooling (GCP, VertexAI, etc)Streaming and messaging systemsDistributed processing frameworksData warehouses, lakes, and object storageTime-series and NoSQL databasesML and AI tooling (feature stores, vector databases, model pipelines)Docker, Kubernetes, and infrastructure-as-code toolsAbout YouYou’re a builder who likes owning problems end to end—from understanding customer needs to shipping and maintaining production systems. You’re comfortable crossing boundaries between data engineering, ML, and backend work, and you’re energized by fast feedback loops and real-world impact. You prefer pragmatic solutions over perfect ones, communicate clearly with technical and non-technical stakeholders, and enjoy helping shape both the product and the engineering culture. Required Skills7+ years of experience in data engineering, backend engineering, or adjacent rolesStrong Python skills, proficient with ML packages and distributed backendsExperience building production data pipelines and systems from scratchComfort working with both structured and unstructured dataExperience operating systems in production and owning reliabilityAbility to work directly with customers or end users to understand requirementsStrong problem-solving skills in ambiguous, fast-moving environments Preferred SkillsExperience contributing to ML workflows (feature engineering, training pipelines, evaluation, or inference)Experience with agentic AI systems or similar orchestration frameworks for enterprise-grade reasoning and/or automationExperience with document processing, NLP, or vector searchExperience with time-series or IoT dataStartup or early-stage product experienceExperience making architectural tradeoffs under real-world constraintsWho We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innova ... (truncated, view full listing at source)