Senior Data Engineer
Virtasant Inc.7 days ago
Remote, Americas or Remote, EMEASenior
Responsibilities
- Own complex technical projects with minimal direction.
- Design scalable, maintainable, and well-documented data pipelines and models.
- Make architectural decisions and drive technical initiatives from design through production.
- Improve existing processes, identify automation opportunities, and modernize the data platform.
- Identify technical risks and performance improvements.
- Mentor engineers through code reviews and technical guidance.
Requirements
- At least 5 years of relevant experience, ideally 7 or more.
- Robust experience with Snowflake, including performance tuning and modern Snowflake capabilities.
- Experience building and maintaining ELT pipelines using dbt.
- Experience orchestrating data workflows using Apache Airflow or a similar orchestration platform.
- Comfort creating reports and data visualizations with Sigma, Tableau, or Power BI.
- Strong understanding of dimensional modeling, data warehousing, and analytics engineering best practices.
- Preferred: experience designing scalable, high-quality data foundations for AI/ML applications using Snowflake Cortex AI.
- Candidates must be located in Latin America or Eastern Europe and able to work US East Coast office hours.
Benefits
- Totally remote, full-time position at 40 hours per week.
- Work schedule is 8 hours per day during US Eastern time office hours, 9 a.m. to 6 p.m.
- Independent contractor agreement with an initial four-month duration and an option to extend to one year or longer based on performance and continued need.
- Payment is made in USD, biweekly or monthly according to the contractor’s choice.
Tech Stack
Apache AirflowdbtSnowflake
Categories
Data Engineering
About Virtasant Inc.
Virtasant provides cloud and software engineering services to enterprises, focusing on cloud migration and modernization, cost optimization, and AI-enabled transformation. The privately held, fully remote company also develops Helias, a cloud cost optimization platform used to understand, govern, and reduce spend at scale. Founded in 2007 and headquartered in Austin, Texas, it serves global customers across AWS, Azure, and Google Cloud.