Senior Data Engineer

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Design, orchestrate, and manage data pipelines utilizing the GCP stack

• Employ BigQuery and dbt for effective data modeling

• Leverage PySpark and Parquet for processing large-scale data

• Utilize Dagster for orchestration tasks

• Develop a comprehensive understanding of core data models to facilitate collaboration with Data Science and Data Operations teams

• Uphold trusted and well-defined datasets that support self-service capabilities

• Engage with cross-functional stakeholders to gather and clarify requirements

• Document, clarify, and present complex issues to various audiences

• Establish and promote best practices for specialized datasets utilized in analytics and modeling

• Verify the accuracy and scalability of Subscriber Metrics

• Take ownership of data delivery reliability and act as the subject matter expert for the delivery pipeline

• Report directly to the VP of Engineering

⛳️ Requirements

• Over 5 years of experience in software engineering, with a minimum of 3 years dedicated to data infrastructure or platform engineering

• Experience in production pipelines using BigQuery, Snowflake, or Databricks with dbt, SQL, or Spark, as well as orchestration tools like Dagster, Airflow, or similar

• Proficiency in SQL and familiarity with at least one general-purpose programming language, preferably Python

• Proven experience in building pipelines, creating custom integrations, developing automation scripts, and occasionally designing web services

• Capability to navigate complex and unfamiliar systems while independently solving challenging problems

• Strong communication skills with cross-functional team members and stakeholders

• Knowledge of data-system testability principles

• Practical experience with AI tools and automation to enhance workflow

• Proficient in English in a professional context

• Ideally situated within a US time zone: Eastern, Central, Mountain, or Pacific

• Bonus: experience in backend web-service design and implementation

• Bonus: resource management on GCP or AWS using Terraform, Pulumi, or CloudFormation

• Bonus: designing maintainable systems for complex customer challenges

• Bonus: industry experience with receipt, transaction, or viewership data

• Bonus: background in data architecture and governance

🏝️ Benefits

• Remote-first work culture established since 2019

• Work remotely during US business hours

• Opportunity for direct engagement with leadership

• Contribute to data that influences decisions for major streaming brands

• Chance to work with cutting-edge AI tools, LLM pipelines, and agentic workflows

• Code deployed to production that impacts customer decisions

• Exposure to a global SaaS company

• Emphasis on community growth and continuous learning