onsite
Data Engineer - Regard
Data Engineer
Build and maintain robust data pipelines and infrastructure using Python, SQL, Airflow, and AWS to transform raw data into actionable insights that drive product decisions and research.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that ingest, transform, and load data from diverse sources into the data warehouse.
- Collaborate with Engineering and Product teams to define data requirements, create data models, and ensure data quality and consistency.
- Implement and optimize ETL processes using Airflow, Python, and SQL, ensuring reliability and performance at scale.
- Monitor pipeline health, troubleshoot issues, and proactively improve system resilience and observability.
- Document data architecture, pipeline logic, and best practices for internal use and future onboarding.
Requirements
- 3+ years of experience building data pipelines in a production environment.
- Experience with data modeling, schema design, and performance tuning.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonsqlairflowaws