Data Engineer

Responsibilities:

• Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
• Contribute to the architecture and maintenance of the Data Platform, ensuring systems are performant, cost-efficient and scalable
• Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact

Preferred Qualifications:

• 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
• Proven experience building and scaling modern data platforms and delivering high-impact data solutions
• Strong communication skills and the ability to work closely with technical and non-technical partners

Technical Expertise:

• Strong proficiency in Python and SQL
• Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks)
• Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow)