Senior Data Engineer

Virtasant • Austin, TX

2d • Remote

About The Position

Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. It specializes in cloud architecture, infrastructure, migration, and optimization. For its US-based EdTech client, Virtasant is seeking a Senior Data Engineer who combines technical expertise with ownership and sound engineering judgment. The client connects local communities with learners of every age group to provide life skills and financial literacy, as well as instruction in regulatory compliance.

The Senior Data Engineer will design and build scalable, reliable data solutions while understanding broader business objectives. The role involves making architectural decisions, improving processes, identifying automation opportunities, and driving technical initiatives from design through production. The person will collaborate with and mentor other engineers through code reviews and technical guidance, while proactively identifying risks, performance improvements, and opportunities to modernize the client's data platform.

The position is fully remote and full-time at 40 hours per week, with working hours aligned to US Eastern office hours (8 hours per day; the posting also specifies 9 am–6 pm). Candidates must be located in Latin America or Eastern Europe. The engagement is under an independent contractor agreement with an initial four-month duration, with an option to extend to a year or longer depending on performance and continued need. Payment is in USD, biweekly or monthly at the contractor's choice.

Requirements

• At least 5 years of relevant experience; 7 or more years is ideal.
• 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 tools such as Sigma, Tableau, or Power BI.
• Strong understanding of dimensional modeling, data warehousing, and analytics engineering best practices.
• Must be located in Latin America or Eastern Europe.
• Availability to work US Eastern time office hours.

Nice To Haves

• Experience designing and preparing scalable, high-quality data foundations for AI/ML applications using Snowflake Cortex AI.

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 and identify opportunities for automation.
• Collaborate with and mentor engineers through code reviews and technical guidance.
• Proactively identify risks, performance improvements, and opportunities to modernize the client's data platform.

Benefits

• Fully remote work.
• Payment in USD, with biweekly or monthly payment frequency available at the contractor's choice.
• Initial four-month engagement with the possibility of extension to a year or longer based on performance and continued need.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed