Senior Data Engineer

About the Role

Join the Enterprise Analytics team to manage and extend our critical data platform, leveraging modern cloud technologies to drive deep business insights.

Responsibilities

• Build, test, document, and deploy reliable data pipelines across diverse systems.
• Proactively contribute to the evolution of the Data Analytics Platform by exploring and implementing innovative big data tools.
• Build and maintain data infrastructure using DevOps best practices, focusing on scalability, reliability, and security.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Requirements

• 5+ years of experience in Backend or Data Engineering roles.
• Proficiency in core languages: Python and SQL.
• Strong systems design skills demonstrated by architecting, building, and maintaining scalable, reliable data pipelines.
• Deep knowledge of data warehouses (e.g., Snowflake, Clickhouse).
• Production experience with data orchestration solutions (e.g., Dagster, Airflow).
• Experience deploying and maintaining containerized services on Cloud providers using Infrastructure as Code (e.g., Terraform).
• Effective oral and written communication in English.

Nice-to-Haves

• Experience leveraging AI to increase development efficiency and automation.
• Production experience specifically with Dagster, ECS, or Github Actions.
• Prior experience building and launching a real product.

Role Context

This role is fully remote and requires strong autonomy, excellent people/time management skills, and the ability to collaborate effectively within a distributed team, often communicating asynchronously. Mentoring skills to help the team grow professionally are highly valued.