Description

You design, build, and maintain scalable data pipelines for API ingestion and analytics. You own the full lifecycle from API development to data warehousing in Snowflake, ensuring high-quality data delivery for BI tools.

This role is remote.

Responsibilities

• Design and maintain scalable data pipelines for API data ingestion and processing.
• Build and manage APIs, including authentication, error handling, and data parsing.
• Develop and optimize data models in Snowflake and relational databases (Postgres).
• Use Databricks (PySpark, notebooks) for data processing and pipeline orchestration.
• Collaborate with analytics teams to deliver clean datasets for Tableau reporting.

Required Skills

• 5+ years as a Data Engineer with strong API development and integration experience.
• Strong SQL skills, including database design, query optimization, and performance tuning.
• Hands-on experience with Postgres or similar relational databases.
• Experience with Snowflake (data loading, querying, performance optimization).
• Experience with Databricks (ETL/ELT, PySpark, notebooks).
• Proficiency in Python for data engineering tasks.
• Experience working in cloud environments (AWS, Azure, or GCP).
• Strong understanding of data warehousing concepts and best practices.

Preferred Skills

• Experience with ETL/orchestration tools (Airflow, Fivetran, dbt).
• Familiarity with containerization (Docker).
• Experience supporting Tableau dashboards or BI developers.

Key Skills

Education

Bachelor's degree