Data Engineer, Gecko Robotics

• 7+ years of experience in data engineering, backend engineering, or adjacent roles
• Strong Python skills, proficient with ML packages and distributed backends
• Experience building production data pipelines and systems from scratch
• Comfort working with both structured and unstructured data
• Experience operating systems in production and owning reliability
• Ability to work directly with customers or end users to understand requirements
• Strong problem-solving skills in ambiguous, fast-moving environments
• Preferred Skills

Desirable

• As 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
• You 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