Description

You will design and maintain scalable data platforms and pipelines for large datasets with fast SLAs.

This role is remote.

Responsibilities

• Build and maintain data pipelines using Python, Airflow, Snowflake, and AWS.
• Partner with Data Scientists to create curated, model-ready features and feature stores.
• Apply data quality, lineage, and governance practices to ensure dataset trust and reproducibility.
• Collaborate with business and technology teams to align on requirements and priorities.
• Produce clear technical documentation, including artifacts for testing and delivery.

Required Skills

• 8+ years of experience delivering data-centric platforms with large datasets.
• Advanced proficiency in Python, including Pandas and PySpark.
• Strong hands-on experience with AWS data stack: S3, Glue, Athena, EMR, and SageMaker.
• Expertise with orchestration (Airflow) and warehousing (Snowflake) tools.
• Proven track record building pipelines that support Data Science workflows and feature engineering.
• Solid end-to-end development experience, including CI/CD and automated deployments.
• Bachelor's degree required.

Preferred Skills

• Strong problem-solving skills for debugging complex issues and optimizing performance.

Key Skills

Education

Bachelor's degree