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Staff Data Engineer

1 hour, 19 minutes ago
Brazil, Colombia
Full-time
Lead
Data Engineer
Software Development
AWS CI/CD Kafka Python Scala SQL
Apply Now
Robots & Pencils

Robots & Pencils

Robots & Pencils is a digital innovation firm that assists organizations in leveraging mobile, web, and AI technologies to modernize their operations and create efficient, user-centered solutions that enhance productivity and decision-making.

IT Services
51-250
Founded 2009
View All Jobs 3

Description

  • Define data architecture and platform strategy across pipelines, warehouses, and data lakes.
  • Build and optimize scalable data pipelines for batch and real-time processing.
  • Define and enforce data governance, quality standards, and compliance frameworks.
  • Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD workflows.
  • Drive data platform modernization with a focus on performance, cost, and scalability.
  • Design and implement data contracts and event flows with backend, platform, and engineering teams.
  • Lead the design and implementation of data pipelines for production AI/ML systems, including embeddings, vector stores, RAG preparation, feature stores, and training/inference data flows.
  • Integrate data services with APIs, middleware, and third-party systems to support end-to-end data consumption.
  • Partner with leadership on data strategy and translate technical decisions into actionable direction.
  • Collaborate with engineering, analytics, AI, and product teams to align data platforms with broader goals.
  • Mentor junior and mid-level engineers and establish standards that improve team-wide quality and consistency.

Requirements

  • 7+ years of professional data engineering experience, including leadership on complex data platform initiatives.
  • Strong system architecture background with expertise in distributed data systems.
  • Expert proficiency in Python, Scala, and SQL.
  • Deep experience with cloud-native data platforms and enterprise data warehousing.
  • Strong expertise in data pipeline orchestration and processing.
  • Strong experience with streaming platforms and real-time data processing, such as Kafka, Kinesis, or Pub/Sub.
  • Strong data modeling expertise and experience with data transformation.
  • Strong experience with data quality, governance, and compliance frameworks.
  • Strong experience with container orchestration and CI/CD for data systems.
  • Strong experience building data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows.
  • Demonstrated leadership and technical mentoring experience across a team or organization.
  • Strong stakeholder communication skills and the ability to translate technical depth across audiences.
  • Demonstrable day-to-day usage and expert knowledge of AI-forward coding tools such as Claude and Cursor.
  • Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges.
  • Experience with data mesh or data fabric concepts, lakehouse architectures, or governance framework implementation is a plus.

Interested in this position?

Apply directly on the company website

Apply Now

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