Sky Systems, Inc. (SkySys)
Website:
myskysys.com
Job details:
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: 8am-4pm EST, 4am-1pm EST
Location: 100% Remote
We’re looking for a Senior Data Operations Engineer to support and optimize a modern data stack. This role combines strong technical expertise in SQL & Python with deep experience in data warehousing, optimization, and cloud data platforms.
You’ll oversee end-to-end data pipelines, improve performance and cost efficiency, and collaborate across engineering, analytics, and business teams to ensure high data quality and reliability.
Key Responsibilities:
- Manage and optimize end-to-end data pipelines and workflows
- Monitor performance, troubleshoot issues, and implement cost-saving improvements
- Work with Snowflake, Databricks, Azure Cloud, DBT, and ELT tools
- Conduct code reviews, unit testing, and data quality validation
- Collaborate with business teams on data integration and architecture
- Drive automation and process improvements
- Present insights and technical solutions to stakeholders
Requirements:
- 5+ years in data engineering / data operations roles
- Strong SQL expertise
- Experience with Snowflake and/or cloud data platforms (Azure, AWS, GCP)
- Experience with ELT tools (Azure Data Factory, Airflow)
- Experience with git-based workflows
- Strong understanding of data modeling & data architecture principles
Nice to Have:
- Strong Python skills
- Experience migrating enterprise data warehouses to Snowflake
- Airline industry experience
Click on Apply to know more.