Data Engineer

We are seeking an Intermediate Data Engineer to join a high‑impact Data Integrity team responsible for delivering reliable real‑time and batch data that powers key performance metrics across the organization.

This role involves end‑to‑end project execution within Agile, 2‑week sprints , including onboarding diverse data sources, defining transformation requirements, and collaborating with quality teams to ensure data accuracy. The engineer will be hands‑on with ETL development , data validation , and unit testing , while contributing to both new data initiatives and the optimization of existing pipelines .

The ideal candidate is technically capable, collaborative, and motivated to learn and grow in a modern, cloud‑based data environment.

Key Responsibilities

• Design, build, and maintain end‑to‑end data pipelines , including extraction, transformation, loading, and validation
• Onboard and integrate multiple data sources , including APIs and varied data formats
• Define and implement data transformation logic in partnership with stakeholders
• Perform unit testing, validation, and integration testing to ensure data integrity
• Collaborate with quality and analytics teams to support data validation processes
• Integrate data solutions into Snowflake or other cloud data warehouses
• Support pipeline optimization, performance tuning , and scalability improvements
• Deploy and maintain data solutions within Azure and Kubernetes environments
• Participate in Agile ceremonies and deliver work within 2‑week sprint cycles

Required Skills & Experience

Nice to Have

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