remote
Data Engineer - accelerant
Data Engineer
Design, build, and maintain scalable data pipelines and warehouses using Python, SQL, Airflow, Snowflake, and AWS to enable reliable analytics and data-driven decision making.
About the role
Key Responsibilities
- Develop, test, and deploy robust ETL pipelines to ingest and transform data from diverse sources.
- Design and optimize data models and warehouses in Snowflake for high‑performance analytics.
- Implement workflow orchestration and scheduling using Apache Airflow.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver reliable data solutions.
- Monitor pipeline health, troubleshoot issues, and ensure data quality and security compliance.
Requirements
- 3+ years of experience building data pipelines and warehouses.
- Proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience with ETL tools, Apache Airflow, and cloud platforms such as AWS.
- Strong knowledge of Snowflake or similar columnar data warehouses.
- Ability to work cross‑functionally, communicate technical concepts clearly, and prioritize tasks in a fast‑moving environment.
Skills
pythonsqlsnowflakeaws