remote
Data Engineer - Graebel Companies
Data Engineer
Design, build, and maintain scalable data pipelines and warehouses using Python, SQL, and cloud services to enable data‑driven decision making across the organization.
About the role
Key Responsibilities
- Develop, test, and deploy robust ETL pipelines to ingest and transform data from multiple sources.
- Design and optimize data models and warehouses for high‑performance analytics.
- Implement data orchestration and workflow automation using tools such as Apache Airflow.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable solutions.
- Monitor, troubleshoot, and improve pipeline reliability, latency, and cost efficiency in cloud environments (e.g., AWS).
Requirements
- 3+ years of hands‑on experience building data pipelines with Python and SQL.
- Proficiency with cloud platforms (AWS) and services such as S3, Redshift, or Snowflake.
- Experience with workflow orchestration tools like Apache Airflow or similar.
- Strong understanding of data modeling, warehousing concepts, and performance tuning.
- Ability to work cross‑functionally, communicate technical concepts clearly, and prioritize tasks in a fast‑moving environment.
Skills
pythonsqlawsairflow