Senior Data Engineer for AI-Driven Analytics

Robots & Pencils; United States; Remote; USD 120,000 - 165,000; Full time

Job summary

Robots & Pencils is seeking a Senior Data Engineer to design, build, and operate robust data pipelines and platforms powering analytics, AI, and product work. You will own pipelines end-to-end and shape data architecture with strong technical judgment.

You’ll collaborate on cross-functional teams to scale pipelines, manage data warehouses and data lakes, and integrate data across systems, contributing to decisions that drive measurable impact for clients and end users.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python/Scala

Tools

ETL/ELT frameworks

CI/CD for data systems

Container orchestration

Streaming platforms

Job description

Robots & Pencils is seeking a Senior Data Engineer to design, build, and operate robust data pipelines and platforms powering analytics, AI, and product work. You will own pipelines end-to-end and shape data architecture with strong technical judgment.

You’ll collaborate on cross-functional teams to scale pipelines, manage data warehouses and data lakes, and integrate data across systems, contributing to decisions that drive measurable impact for clients and end users.