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