Data Engineer

???? Description

• Design, develop, and maintain scalable data pipelines and transformations
• Build and optimize complex SQL queries and data models
• Implement and manage real-time and batch data ingestion workflows using CDC
• Orchestrate end-to-end data pipelines with monitoring and alerting
• Build reports and dashboards in BI tools to support business analytics
• Collaborate with analytics and engineering teams to deliver reliable data solutions

???? Requirements

• SQL Proficiency (Expert): advanced queries, performance tuning
• Python (Proficient): data processing scripts using pandas/polars
• dbt (3+ years): building and scaling dbt projects
• Snowflake (3+ years): S3 integration, Snowpipe, cost optimization
• CDC (Strong): Debezium, AWS DMS, schema evolution
• BI Tool Experience (Required): Looker, Tableau, Power BI dashboards

???? Benefits

• Health coverage: 95% premiums for employees
• 401k with up to 4% company match
• Generous time off: 15 PTO, 48 sick days, 9 holidays
• Annual international retreat: Cancun 2026
• Life insurance, AD&D, and short-term disability
• Professional development stipend and sabbatical at 5 years

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.