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Gecko Robotics

Data Engineer | Power

Posted 4 Days Ago
In-Office
3 Locations
154K-204K Annually
Senior level
In-Office
3 Locations
154K-204K Annually
Senior level
As a Data Engineer, you will design and operate data systems, build production data pipelines, and work directly with customers to meet their needs.
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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 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.

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 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’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 Use

  • Python, SQL

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

  • Streaming and messaging systems

  • Distributed processing frameworks

  • Data warehouses, lakes, and object storage

  • Time-series and NoSQL databases

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

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

About You

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.

Required Skills

  • 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

  • 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

Who We Are

At 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, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.

Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

Top Skills

Docker
GCP
Kubernetes
Python
SQL
Vertexai

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