Staff Data Engineer, Engineering Foundation
New
ArgentinaFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years of relevant industry experience.
- Required Skills
- PythonSQLJavaKubernetesSnowflakeApache KafkaSparkScala
Requirements
- 7+ years of relevant industry experience.
- Proficiency in Java, Scala, or Python.
- Deep expertise in data processing technologies.
- Experience writing complex SQL queries.
- Proven track record in designing, building, and operating robust distributed data platforms (e.g., Snowflake, Spark, Flink, Kafka).
- Experience handling large data sets.
- Demonstrable experience building, productionalizing, and optimizing real-time and batch data pipelines.
- Proven track record of driving innovation within highly technical, distributed teams.
- Experience driving complex projects to completion.
- Experience with cloud-native technologies such as Kubernetes and containers (preferred).
- Experience in a rapid growth company or early-stage startup environment (preferred).
Responsibilities
- Design and build net new resilient batch and real-time data pipelines that power critical products.
- Design and build data pipelines facilitating the migration from existing disparate data models and data sources into new production databases.
- Champion data reliability and performance by implementing proactive monitoring and quality-first engineering practices.
- Optimize data models to support fast, efficient decision-making across high-impact product and business use cases.
- Partner closely with product, engineering, and data science teams to translate business needs into scalable, production-ready data solutions.
- Shape the future of data engineering at scale, defining long-term roadmaps and best practices.
- Coach and level up teammates, fostering a culture of learning and ownership.
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