Senior Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $119.5k - $164.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• 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 • Use tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace • Collaborate with analytics, AI, and product teams to align data work with broader product and business goals • Communicate technical tradeoffs and decisions clearly across functions • Participate actively in code reviews and design discussions • Contribute to data architecture decisions • Take ownership of meaningful work end-to-end, including operating data systems • Support data governance and compliance efforts

🎯 Requirements

• 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

🏖️ Benefits

• Paid time off • Medical insurance • Dental insurance • Vision insurance • 401(k) for eligible employees