| Location | Austin, Texas |
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
Our client is a US-based EdTech company that connects with local communities to provide learners of every age group with vital life skills and financial literacy.
By bridging the gap between corporate entities and educational communities, our client fosters meaningful social impact alongside healthy work environments. Serving as an experienced advisor, their team provides targeted instruction in financial literacy, critical life skills, and regulatory compliance, cultivating lasting relationships between organizations and the populations they support.
For our client, we are looking for a Senior Data Engineer who combines strong technical expertise with ownership and sound engineering judgment.
This person should be able to design and build scalable, reliable data solutions while understanding the broader business objectives behind them.
They should be comfortable making architectural decisions, improving existing processes, identifying opportunities for automation, and driving technical initiatives from design through production.
The ideal candidate is collaborative, mentors other engineers through code reviews and technical guidance, and proactively identifies risks, performance improvements, and opportunities to modernize our client's data platform.
Own complex technical projects with minimal direction.
Design scalable, maintainable, and well-documented data pipelines and models.
At least 5 years of relevant experience, but ideally 7 or more.
Robust experience building and maintaining ELT pipelines using dbt.
Solid experience with Snowflake, including performance tuning and modern Snowflake capabilities.
Experience orchestrating data workflows using Apache Airflow or a similar orchestration platform.
Comfort creating reports and data visualizations in modern tools like Sigma, Tableau, or Power BI.
Strong understanding of dimensional modeling, data warehousing, and analytics engineering best practices.
Experience designing and preparing scalable, high-quality data foundations for AI/ML applications using Snowflake Cortex AI
Recruiter interview (30 min)
Technical Interview (45 min, including live coding)
15 min chat with our HR lead
Client Interview 1 (a conversation with the team's manager, 30 min)
Client Interview 2 (a conversation with the team's manager and a principal engineer, 30 min)
We strive to move efficiently from step to step to make the recruitment process as fast as possible.
Totally remote, full-time (40h/week)
Work hours - 8 hours a day, US Eastern time office hours
Independent contractor agreement, with an initial four-month duration, with the option to extend to a full year or longer based on performance and continued need.
Payment in USD, biweekly or monthly - your choice