About the Role:
We are seeking a skilled Data Engineer to join us for a 6-month project tenure. In this role, you will collaborate immediately with our tech and product teams to architect data solutions that drive decision-making. If you enjoy building clean, efficient ETL pipelines and working with modern cloud infrastructures without the long-term corporate ladder, this role is for you.

What You Will Do:

• Design and install data pipelines capable of handling increasing data volume with low latency.
• Develop robust ETL/ELT processes to integrate data from third-party APIs and internal sources into our data warehouse.
• Monitor system health, identifying and resolving pipeline failures or performance dips immediately.
• Implement security best practices and ensure data integrity across the ecosystem.
• Translate requirements from data analysts into technical solutions.

What We Are Looking For:

• 2+ years in Data Engineering with a Bachelors in CS or Engineering.
• Proficiency in Python (or Java/Scala) and advanced SQL skills.
• Experience with orchestration and streaming tools like Apache Airflow, Kafka, or AWS Glue.
• Comfortable deploying on Cloud platforms (AWS/GCP/Azure) and managing data warehouses (Snowflake/Redshift).
• Ability to troubleshoot independently and communicate technical concepts to non-technical stakeholders.