Home › Companies › Tergarintl › Data Engineer
Data Engineer
Tergarintl · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Tergarintl |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Data |
| Location | ., MN, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-06-04 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Tergarintl. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in .. | Open |
| Department jobs | Active postings in Data. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Tergarintl |
| Source | 54cad863-b047-42e8-aa27-03fe670ffe2b |
| ATS provider | BambooHR |
Description
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: C andidates 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: June 30th, 2026, or until a suitable candidate is selected.
Full job record
| Job ID | f22b09fe992799081c8ceaebda7de87605b538d6 |
| Org ID | 04c3b90d-9db0-4d15-88fa-4253b180dae2 |
| Source ID | 54cad863-b047-42e8-aa27-03fe670ffe2b |
| Board ID | 54cad863-b047-42e8-aa27-03fe670ffe2b |
| Provider | bamboohr |
| Provider Job Key | 89 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | Data |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | MN |
| City | . |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://tergarintl.bamboohr.com/careers/89 |
| Apply URL | https://tergarintl.bamboohr.com/careers/89 |
| First Seen At | 2026-06-06 10:23:18Z |
| Last Seen At | 2026-06-06 10:23:18Z |
| Last Checked At | 2026-06-06 10:23:18Z |
| Last Changed At | 2026-06-06 10:23:18Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=tergarintl/date=2026-06-06/2026-06-06T10-23-17-782Z-e7e51ab53ac9494a6899c0b219cca3e9e574eaae112387dae47f7221c48210cd.json |
Event Fields
{
"content_hash": "0615ed78ffcdb8ccdfc013f9cb32abdf6468e30e9d03bddfbb0eef538f47f9aa",
"source_hash": "5b47e4435e2a9f60f0d809d4be3e7a024275456c881bb092920d8d17e14bbd1f",
"last_changed_at": "2026-06-06T10:23:18.359Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "., Minnesota, United States",
"city": ".",
"region": "MN",
"country": "United States",
"is_remote": true,
"confidence": 0.8
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T10:23:18.358Z",
"launch_scope": {
"reason": "bamboohr_production_catalog",
"included": true,
"location": {
"raw": "., Minnesota, United States",
"city": ".",
"region": "MN",
"country": "United States",
"is_remote": true,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": null,
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"list_job": {
"id": "89",
"isRemote": null,
"location": {
"city": null,
"state": null
},
"atsLocation": {
"city": ".",
"state": "Minnesota",
"country": "United States",
"province": null
},
"departmentId": "19011",
"locationType": "1",
"jobOpeningName": "Data Engineer",
"departmentLabel": "Data",
"employmentStatusLabel": "Full-time"
},
"detail_errors": [],
"detail_job_opening": {
"location": {
"city": null,
"state": null,
"postalCode": null,
"addressCountry": null
},
"datePosted": "2026-06-04",
"atsLocation": {
"city": ".",
"state": "Minnesota",
"country": "United States",
"countryId": "1"
},
"description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">About Tergar International:</span><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span><br></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Job Summary:</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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. </span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Key Responsibilities:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Develop, optimize, and maintain the data warehouse architecture, ensuring data integrity and availability.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored data solutions.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ensure high-quality data by implementing robust data validation, testing, and monitoring processes.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Implement and manage cloud-based data platforms and databases for large-scale data storage and processing.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Develop and maintain data models and database schemas to support analytics, reporting, and machine learning use cases.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Optimize and monitor performance of data pipelines and queries, ensuring timely delivery of data.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Implement and enforce data governance, security, and privacy practices in compliance with industry standards and regulations (e.g., GDPR, CCPA).</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Automate data collection, transformation, and delivery processes, enhancing efficiency and minimizing manual intervention.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Document data workflows, architectures, and processes for cross-functional teams and stakeholders.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Qualifications</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Linux (Bash)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">3+ years of experience in data engineering, ETL/ELT development, analytics engineering, or a related technical role.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong proficiency in Python, PySpark, and JavaScript.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Advanced SQL skills and hands-on experience with relational and analytical databases such as PostgreSQL, MySQL, or Amazon Redshift.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Practical experience working with AWS cloud services, including AWS Lambda, Glue Jobs, and Workflows.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience using version control systems such as Git and working with CI/CD pipelines for automated testing and deployment.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Solid understanding of data warehousing, data modeling, database design, and performance optimization best practices.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Familiarity with data governance, security, privacy, and compliance standards.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong problem-solving and analytical skills, with excellent attention to detail.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Clear communication skills and the ability to collaborate effectively with technical and non-technical team members.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Preferred Qualifications</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience working with CRM platforms, especially HubSpot, including familiarity with the HubSpot API.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Knowledge of Power BI</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience working with Docker</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience implementing and managing tracking and analytics tools such as Google Tag Manager, PostHog, or similar services.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Proficiency in Terraform-based infrastructure deployment and automation.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><span style=\"font-size: 12pt; font-weight: bold\">Location & Schedule:</span></span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><span style=\"font-size: 12pt; font-weight: bold\"><span style=\"font-size: 10pt; font-weight: bold\">Full-time Remote position: </span></span><span style=\"font-size: 12pt\"><span style=\"font-size: 10pt\">C</span><span style=\"font-size: 10pt\">andidates may be based anywhere in the Americas or similarly aligned time zones compatible with Argentina (UTC-3)</span></span></span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"><span style=\"font-size: 12pt\"><br></span></span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Compensation & Benefits:</span></p>\n<ul>\n<li><span style=\"font-size: 10pt\">Competitive salary commensurate with experience</span></li>\n<li><span style=\"font-size: 10pt; font-weight: bold\">200 hours of PTO</span><span style=\"font-size: 10pt\"><span> </span><span style=\"font-weight: bold\">annually</span></span></li>\n<li><span style=\"font-size: 10pt; font-weight: bold\">40 hours of Paid Retreat Time</span><span style=\"font-size: 10pt\"><span> </span>(PRT) annually</span></li>\n<li><span style=\"font-size: 10pt\">Professional development opportunities</span></li>\n<li><span style=\"font-size: 10pt\">Complimentary access to all Tergar meditation programs</span></li>\n<li><span style=\"font-size: 10pt\">Reduced fees for retreats with Mingyur Rinpoche</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Application Deadline: June 30th, 2026, or until a suitable candidate is selected. </span></p>",
"compensation": "$50,000 - $56,000/ year",
"departmentId": "19011",
"locationType": "1",
"seekPromoted": false,
"jobCategoryId": null,
"jobOpeningName": "Data Engineer",
"departmentLabel": "Data",
"jobOpeningStatus": "Open",
"minimumExperience": "Experienced",
"jobOpeningShareUrl": "https://tergarintl.bamboohr.com/careers/89",
"employmentStatusLabel": "Full-time"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/f22b09fe992799081c8ceaebda7de87605b538d6?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/04c3b90d-9db0-4d15-88fa-4253b180dae2JSONGET https://api.bluedoor.sh/job-postings/v1/sources/54cad863-b047-42e8-aa27-03fe670ffe2bJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/f22b09fe992799081c8ceaebda7de87605b538d6/eventsJSON