Data Engineer | Power

Location

New York City, Boston, Pittsburgh

Full time

On-site

Software Engineering

• $154K – $204K

This range is representative of the starting base salary for this role at Gecko based on the current available market data; it does not include bonuses, equity, or other salary components. Where a candidate falls in the range will be determined based on job-related factors such as relevant experience, skills, and location. Should you have compensation expectations that exceed these bands, we d love to hear from you and would welcome you to reach out to further discuss.

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 Glance

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.

What you will do

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  work directly with customers and internal stakeholders to understand real problems, translate them into technical solutions, and iterate quickly. You  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  make pragmatic architectural decisions, improve reliability over time, and help define best practices as the team and product scale.

Technologies We Use

• Python, SQL

• Cloud-native data and GenAI tooling (GCP, Vertex
  
  AI, etc)

• Streaming and messaging systems

• Distributed processing frameworks

• Data warehouses, lakes, and object storage

• Time-series and No
  
  SQL databases

• ML and AI tooling (feature stores, vector databases, model pipelines)

• Docker, Kubernetes, and infrastructure-as-code tools

You’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.

• 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

• Experience 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 automation

• Experience with document processing, NLP, or vector search

• Experience with time-series or IoT data

• Startup or early-stage product experience

• Experience making architectural tradeoffs under real-world constraints

At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we…