Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source 2h ago.
We have tracked this listing since 29 Sep 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
US Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $156.6k–212.8k/yr
Middle 50% of 1269 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 2d ago · last seen 2h ago
The listing
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 an AI-forward coding mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
Collaboration & Communication
- Collaborate closely with analytics, AI, and product teams to align data work with broader product and business goals
- Communicate technical tradeoffs and decisions clearly across functions, translating data architecture and constraints into terms others can act on
- Participate actively in code reviews and design discussions, raising concerns and offering constructive feedback
Leadership & Influence
- Contribute to data architecture decisions, bringing thoughtful perspective on tradeoffs and long-term implications
- Take ownership of meaningful pieces of work and follow through end-to-end, including the unglamorous parts of operating data systems
- Support data governance and compliance efforts, helping raise the bar on practices across the team
What You’ll Bring
- 5–7 years of professional data engineering experience
- Strong SQL and Python or Scala skills
- Working knowledge of cloud data platforms and enterprise data warehousing
- Hands-on experience with ETL/ELT frameworks and pipeline orchestration
- Experience with streaming platforms and real-time data processing
- Strong data modeling skills, including warehouse and lake schema design and data transformation
- Working knowledge of distributed systems
- Experience with data validation, quality, and observability
- Experience with CI/CD for data systems and container orchestration
- Experience building data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
- Demonstrable, day-to-day usage of AI-forward coding tools such as Claude and Cursor
- Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment
- Exposure to data mesh, data fabric, MLOps, or BI tool integration is a plus
Helpful Extras and Unique Skills
You’ll Do Well Here if You Are