Senior Data Engineer – Airflow Developer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Seattle • Washington • United States
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Salary
💰 $140,000 - $150,000 per year
Job Level
About the role
- Design, develop, and deploy Apache Airflow DAGs to orchestrate Databricks jobs
- Build and maintain ETL workflows to extract, transform, and load data
- Optimize Airflow DAGs for performance, scalability, and reliability
- Monitor Airflow and Databricks job runs, and troubleshoot execution failures
- Refactor and maintain reusable workflow components in python
- Collaborate with platform, DevOps, and other data engineering teams
Requirements
- Hands-on experience with Apache Airflow 2.0
- Databricks
- PySpark
- SparkSQL
- Strong Python programming skills
- Experience designing and developing ETL processes and data pipelines in Databricks
- Solid understanding of scheduling, dependencies, and error handling in Airflow.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Apache AirflowDatabricksPySparkSparkSQLPythonETL processesdata pipelinesworkflow componentsperformance optimizationerror handling
Soft Skills
collaborationtroubleshooting