Data Engineer (US)

About the role

We are seeking a Data Engineer to join our team. The role focuses on designing and maintaining scalable data pipelines across multiple US locations. The ideal candidate has 2–7 years of experience with Python, SQL, and cloud data platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Build and optimize data processing solutions using Python, SQL, and Spark.
• Develop data solutions using Databricks and Snowflake.
• Manage cloud‑based data platforms and services on AWS.
• Perform data integration, transformation, and quality validation.
• Optimize data pipelines for performance, reliability, and scalability.
• Collaborate with Data Scientists, Analysts, Software Engineers, and business teams.

Requirements

• 2–7 years of professional Data Engineering experience.
• Strong proficiency in Python and SQL.
• Hands‑on experience with Spark, Databricks, Snowflake, and AWS.
• Strong understanding of data pipelines, ETL/ELT, and data warehousing.
• Excellent analytical and problem‑solving skills.
• Strong communication and teamwork abilities.

Skills

• Experience with data modeling.
• Familiarity with additional big data tools (e.g., Hadoop, Kafka).
• Knowledge of CI/CD practices for data pipelines.