Senior Data Engineer – Data Operations (Snowflake / Azure)

Role: Senior Data Operations Engineer

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: 12 months+ (With a Possibility-of-Extension)

Work Schedule: 8 hours/day (Mon-Fri)

Work Hours: 3:30am - 12:30pm EST

Location: 100% Remote

We are seeking a Senior Data Engineer to support enterprise data operations, pipeline optimization, and cloud data platform management within a modern data stack environment.

Key Responsibilities

• Build, manage, and optimize scalable data pipelines (ELT/ETL)
• Support Snowflake-based data warehouse and Databricks/Azure data environments
• Monitor and improve data pipeline performance, reliability, and cost efficiency
• Develop and maintain SQL and Python-based data solutions
• Work with orchestration tools like Airflow or Azure Data Factory
• Perform code reviews, testing, and ensure data quality standards
• Collaborate with business users, analysts, and engineers to support data needs
• Implement automation and process improvements across data workflows

Requirements

• 5+ years of experience in Data Engineering or Data Operations
• Strong SQL and Python skills
• Experience with Snowflake or similar cloud data warehouses
• Experience with Azure, AWS, or GCP cloud platforms
• Experience with DBT, Airflow, or Azure Data Factory
• Strong understanding of data modeling and data warehousing concepts
• Experience with Git and CI/CD workflows

Nice-to-Have

• Databricks experience
• Cloud cost optimization and performance tuning experience
• Experience with enterprise data migrations
• Airline industry experience