remote
Principal Data Engineer SQL/dbt - UST
Data Engineer
Lead the design and optimization of large‑scale data pipelines using SQL and dbt, driving performance, reliability, and scalability across cloud platforms.
About the role
Key Responsibilities
- Architect, build, and maintain robust data pipelines using SQL and dbt, ensuring high performance and reliability.
- Collaborate with data scientists, analysts, and product teams to translate business requirements into scalable data solutions.
- Implement best practices for data modeling, governance, and security across cloud environments (AWS, GCP, or Azure).
- Optimize query performance, monitor pipeline health, and troubleshoot complex data issues.
- Mentor and guide junior engineers, fostering a culture of continuous improvement and knowledge sharing.
Requirements
- 10+ years of experience in data engineering with a strong focus on SQL and dbt.
- Proven track record of designing and scaling enterprise‑grade data pipelines.
- Deep understanding of cloud data services (Redshift, BigQuery, Snowflake, etc.) and related tooling.
- Excellent problem‑solving skills and ability to work independently in a remote setting.
- Strong communication skills and experience mentoring junior team members.