Staff Data Engineer, Engineering Foundation
Argentina (Remote)Full-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLJavaKafkaKubernetesSnowflakeSparkScalaData modeling
Requirements
- 7+ years of relevant industry experience.
- Proficient in Java, Scala, or Python, with deep expertise in data processing tech and in writing complex SQL queries.
- Proven track record of driving innovation within highly technical, distributed teams.
- Proven track record in designing, building, and operating robust distributed data platforms (e.g., Snowflake, Spark, Flink, Kafka), and handling large data sets.
- Demonstrable experience of building, productionalizing, and optimizing real-time and batch data pipelines.
- Experience designing data architectures to power a variety of use cases, including enabling experimentation
- Be opinionated on engineering best practices and help contribute to our strong engineering culture.
- Experience with cloud-native technologies (Kubernetes, containers, etc).
- Past experience working in a rapid growth company or an early stage startup environment.
Responsibilities
- 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 facilitating the migration from existing disparate data models and data sources, into new data models and databases in production.
- 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 quickly translate evolving business needs into scalable, production-ready data solutions.
- Shape the future of data engineering at scale, helping define the long-term roadmap and setting best practices as we grow.
- Coach and level up teammates, fostering a culture of learning, ownership, and continuous improvement.
- Demonstrate strong self-direction and thrive in environments with high ambiguity, making sound decisions even when clear solutions are not readily apparent.
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