Senior Data Engineer

📋 Description

• Architect for scale: define blueprints for high-scale data systems.
• Build the backbone: engineer robust ETL/ELT pipelines with Beam and Snowpark.
• Orchestrate workflows: build pipelines with Airflow, Google Workflows, Snowflake Tasks.
• Optimize storage: tune cloud storage across BigQuery, Snowflake, PostgreSQL, GCS.
• Own data quality: implement validation, tests, CI/CD, monitoring.
• Technical leadership: drive design discussions and mentoring.

🎯 Requirements

• Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, or an equivalent technical field.
• 5+ years in Data Engineering with production data systems at scale.
• Deep ETL/ELT, data modeling, partitioning, idempotent pipelines, cost-aware storage.
• Cloud Expertise: production data workloads in the cloud (GCP preferred).
• Coding Fundamentals: advanced Python and SQL; modular, maintainable code for heavy data processing.
• Engineering Rigor: automated pipeline testing, CI, documentation, and observability.

🎁 Benefits

• Course Reimbursement Program for ongoing learning.
• Open and transparent communication including All Hands meetings with CEO.
• Pelmorex Learning Academy.
• Mental health support with Inkblot for virtual counseling.
• Flexible work environment and Summer Hours.
• 17 paid days off plus birthday day.