Home › Companies › Atyeti › Principal Data Engineer
Principal Data Engineer
Atyeti · Princeton, New Jersey, 08540, United States · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Atyeti |
| Title | Principal Data Engineer |
| Normalized title | - |
| Department / team | IT Delivery |
| Location | Princeton, United States |
| Work model | - |
| Employment type | W2 Benefits |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2024-05-24 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Atyeti. | 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 Princeton. | Open |
| Department jobs | Active postings in IT Delivery. | 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 | Atyeti |
| Source | 91486cd5-0b9c-4e27-b03b-26722ab8e68d |
| ATS provider | BambooHR |
Description
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
Designs data integrations and data quality framework.
Designs and evaluates open source and vendor tools for data lineage.
Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Full job record
| Job ID | f62ce8bcbadc81df6176c999998a291015a66815 |
| Org ID | 82c5d1df-83ba-43a5-94fd-61dac080b929 |
| Source ID | 91486cd5-0b9c-4e27-b03b-26722ab8e68d |
| Board ID | 91486cd5-0b9c-4e27-b03b-26722ab8e68d |
| Provider | bamboohr |
| Provider Job Key | 577 |
| Title | Principal Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Princeton, New Jersey, 08540, United States |
| Department | IT Delivery |
| Team | — |
| Employment Type | W2 - Benefits |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | — |
| City | Princeton |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://atyeti.bamboohr.com/careers/577 |
| Apply URL | https://atyeti.bamboohr.com/careers/577 |
| First Seen At | 2026-05-30 05:59:39Z |
| Last Seen At | 2026-06-19 10:04:47Z |
| Last Checked At | 2026-06-19 10:04:47Z |
| Last Changed At | 2026-05-30 05:59:39Z |
| Inactive At | — |
| Source Posted At | 2024-05-24 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=atyeti/date=2026-06-19/2026-06-19T10-04-43-912Z-01b228be5f205b78080d1f756329234b124042f47930450f1ac9c6e58d30ec48.json |
Event Fields
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"description": "<ul>\n<li>Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.</li>\n<li>Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.</li>\n<li>Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.</li>\n<li>Writes unit/integration tests, contributes to engineering wiki, and documents work.</li>\n<li>Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.</li>\n<li>Works closely with a team of frontend and backend engineers, product managers, and analysts.</li>\n<li>Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.</li>\n<li>Designs data integrations and data quality framework.</li>\n<li>Designs and evaluates open source and vendor tools for data lineage.</li>\n<li>Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.</li>\n</ul>",
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