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3 дня назад

Senior Data Engineer (AI)

119 514 - 164 899$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (AI) (Python/SQL): Building and operating scalable data pipelines, warehouses, lakes, and production AI/ML data systems with an accent on data modeling, real-time processing, and data quality. Focus on designing embeddings, vector stores, RAG preparation, feature stores, and training/inference data flows while solving complex distributed systems and observability challenges.

Location: US Remote

Salary: $119,514–$164,899 USD per year

Company

Robots & Pencils designs AI systems and digital products that integrate into enterprise operations and real-world workflows.

What you will do

  • Design, implement, operate, and own scalable data pipelines end to end.
  • Build and manage data warehouses, data lakes, schemas, and data models for analytics and downstream use.
  • Optimize data processing workflows and integrate data from multiple systems, including streaming and real-time data.
  • Build production AI/ML data pipelines covering embeddings, vector stores, RAG data preparation, feature stores, and training and inference flows.
  • Implement data validation, monitoring, observability, and governance practices that improve data quality and reliability.
  • Collaborate with analytics, AI, and product teams, contributing to architecture decisions, design discussions, and code reviews.

Requirements

  • 5–7 years of professional data engineering experience.
  • Strong SQL and Python or Scala skills.
  • Experience with cloud data platforms, enterprise data warehousing, ETL/ELT frameworks, and pipeline orchestration.
  • Experience with streaming platforms, real-time processing, distributed systems, data modeling, and schema design.
  • Experience with CI/CD for data systems, container orchestration, data quality, and observability.
  • Hands-on experience building production AI/ML data pipelines and daily use of AI coding tools such as Claude and Cursor.

Nice to have

  • Exposure to data mesh, data fabric, MLOps, or BI tool integration.

Culture & Benefits

  • Paid time off and medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.
  • Ownership-focused environment with direct feedback, high standards of craft, and experienced cross-functional teams.
  • Work that connects engineering, creativity, AI systems, and measurable client impact.

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