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Senior Data Engineer

Robots & Pencils•United States•🌍 Remote
Full-time3-7
$120K - $165K
per year
👁️ 0 views•📝 0 applications•Posted 10/2/2026•Expires 12/1/2026
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Job Description

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and platforms that power analytics, AI, and product work.

This role is ideal for an engineer with several years of experience who can confidently own pipelines end-to-end and bring strong technical judgment to the problems they take on.

In this role, you will work as a key contributor on a cross-functional team, designing scalable pipelines, building and managing data warehouses and data lakes, and integrating data from across systems.

You’ll collaborate with experienced engineers to enhance existing systems, deliver new capabilities, and contribute to the technical decisions that shape how our data work scales over time. Why This Role Matters At Robots & Pencils, we design AI systems for a human world. Our name says it all.

Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. Every role here contributes directly to that mission.

Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days.

That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You’ll Do Craft & Delivery Design and implement scalable data pipelines, taking ownership of features end-to-end Build and manage data warehouses and data lakes Optimize data processing workflows and integrate data from multiple systems Implement data modeling and schema design that supports analytics and downstream use Implement data validation and monitoring to ensure data quality, reliability, and availability Design and build data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows Bring a

Required Skills

data pipelinesdata warehousesdata lakesdata modelingschema designdata validationdata monitoringdata qualitydata reliabilitydata availabilityAIMLscalable systemsdata processing workflowsembeddingsvector storesRAG data preparationfeature storestraining data flowsinference data flows

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