About Tergar International:
Tergar Meditation Community supports individuals, practice groups, and meditation communities around the world in learning to live with awareness, compassion, and wisdom. Grounded in the Tibetan Buddhist lineage of our guiding teacher, Yongey Mingyur Rinpoche, our online and in-person programs are accessible to people of all cultures and faiths and support a lifelong path toward applying these principles in everyday life.
Tergar International is a 501(c) (3) nonprofit organization that develops and delivers Tergar programs in partnership with our sister organization, Tergar Asia. Tergar International is based in the United States (Minneapolis / St. Paul, Minnesota), with a staff of nearly 70 employees and core contractors working in various locations worldwide.
Job Summary:
We are looking for a skilled and motivated Data Engineer to join our dynamic data team. The ideal candidate will have experience in designing, building, and maintaining scalable data pipelines and infrastructure, ensuring high data quality, and working collaboratively with various teams to support business intelligence and analytics initiatives.
Key Responsibilities:
- Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.
- Develop, optimize, and maintain the data warehouse architecture, ensuring data integrity and availability.
- Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored data solutions.
- Ensure high-quality data by implementing robust data validation, testing, and monitoring processes.
- Implement and manage cloud-based data platforms and databases for large-scale data storage and processing.
- Develop and maintain data models and database schemas to support analytics, reporting, and machine learning use cases.
- Optimize and monitor performance of data pipelines and queries, ensuring timely delivery of data.
- Implement and enforce data governance, security, and privacy practices in compliance with industry standards and regulations (e.g., GDPR, CCPA).
- Automate data collection, transformation, and delivery processes, enhancing efficiency and minimizing manual intervention.
- Document data workflows, architectures, and processes for cross-functional teams and stakeholders.
Qualifications
- Linux (Bash)
- 3+ years of experience in data engineering, ETL/ELT development, analytics engineering, or a related technical role.
- Strong proficiency in Python, PySpark, and JavaScript.
- Advanced SQL skills and hands-on experience with relational and analytical databases such as PostgreSQL, MySQL, or Amazon Redshift.
- Practical experience working with AWS cloud services, including AWS Lambda, Glue Jobs, and Workflows.
- Experience using version control systems such as Git and working with CI/CD pipelines for automated testing and deployment.
- Solid understanding of data warehousing, data modeling, database design, and performance optimization best practices.
- Familiarity with data governance, security, privacy, and compliance standards.
- Strong problem-solving and analytical skills, with excellent attention to detail.
- Clear communication skills and the ability to collaborate effectively with technical and non-technical team members.
Preferred Qualifications
- Experience working with CRM platforms, especially HubSpot, including familiarity with the HubSpot API.
- Knowledge of Power BI
- Experience working with Docker
- Experience implementing and managing tracking and analytics tools such as Google Tag Manager, PostHog, or similar services.
- Proficiency in Terraform-based infrastructure deployment and automation.
Location & Schedule:
- Full-time Remote position: Candidates may be based anywhere in the Americas or similarly aligned time zones compatible with Argentina (UTC-3)
Compensation & Benefits:
- Competitive salary commensurate with experience
- 200 hours of PTO annually
- 40 hours of Paid Retreat Time (PRT) annually
- Professional development opportunities
- Complimentary access to all Tergar meditation programs
- Reduced fees for retreats with Mingyur Rinpoche
Application Deadline: July 30th, 2026, or until a suitable candidate is selected.
Skills Required
- Linux (Bash)
- 3+ years of experience in data engineering, ETL/ELT development, analytics engineering, or related technical role
- Strong proficiency in Python
- Strong proficiency in PySpark
- Strong proficiency in JavaScript
- Advanced SQL skills
- Hands-on experience with PostgreSQL, MySQL, or Amazon Redshift
- Practical experience with AWS services (AWS Lambda, AWS Glue Jobs and Workflows)
- Experience using version control systems such as Git and working with CI/CD pipelines
- Solid understanding of data warehousing, data modeling, database design, and performance optimization best practices
- Familiarity with data governance, security, privacy, and compliance standards (e.g., GDPR, CCPA)
- Strong problem-solving and analytical skills, with excellent attention to detail
- Clear communication skills and ability to collaborate with technical and non-technical team members
- Experience working with CRM platforms, especially HubSpot (HubSpot API)
- Knowledge of Power BI
- Experience working with Docker
- Experience implementing and managing tracking and analytics tools such as Google Tag Manager or PostHog
- Proficiency in Terraform-based infrastructure deployment and automation
What We Do
Tergar International is a 501(c)(3) non-profit organization dedicated to making the ancient wisdom of meditation accessible to the modern world. Founded to promote the teachings of Yongey Mingyur Rinpoche, Tergar provides online and in-person meditation programs, Buddhist study courses, and mindfulness training to a global community. Their mission is to help individuals cultivate boundless awareness, compassion, and wisdom to enhance their quality of life.
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