Staff Data Engineer, Engineering Foundation

Added
17 days ago
Type
Full time
Salary
Salary not provided

Related skills

java snowflake sql python kafka

๐Ÿ“‹ Description

  • Design and build net new resilient batch and real-time data pipelines that power critical products and drive rapid business growth.
  • Design and build data pipelines migrating from existing models and sources into new production data models/databases.
  • Champion data reliability and performance by proactive monitoring and quality-first engineering.
  • Optimize data models to support fast, efficient decision-making across high-impact use cases.
  • Partner with product, engineering, and data science teams to translate evolving needs into scalable data solutions.
  • Shape the future of data engineering at scale, defining long-term roadmaps and best practices.

๐ŸŽฏ Requirements

  • 7+ years of relevant industry experience.
  • Proficient in Java, Scala, or Python; deep data processing expertise and SQL skills.
  • Proven track record delivering complex projects in distributed teams and solving high-impact problems.
  • Experience designing, building, and operating robust data platforms (Snowflake, Spark, Flink, Kafka).
  • Productionalizing real-time and batch data pipelines.
  • Experience with cloud-native tech (Kubernetes, containers).

๐ŸŽ Benefits

  • Get paid in USD
  • Work remotely: design the life you want
  • 15 days vacation per year from start date
  • 16 fully paid Argentinean holidays
  • Healthcare stipend for your preferred provider
  • 5-year sabbatical: 4 weeks paid
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