Senior Analytics Engineer at Temporal

Confirmed open

Temporal seeks a US-remote analytics engineer to build shared data models, governed metrics and reusable analytical products for product, finance and go-to-market teams.

Temporal

Location: Remote
Advertised region: United States (Remote)
Employment: FULL_TIME
Work arrangement: remote
Technologies: Python, SQL

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Role overview

This role builds the common analytics layer between source data and the tools used across Temporal. It reports to the Director of Data Engineering and Analytics and is listed as United States remote.

Responsibilities

Create canonical entities, shared dimensions, metric definitions and data marts so teams and agents can answer questions consistently.
Set standards for keys, history, lineage and quality controls; develop contribution checks and a process to certify or retire shared metrics and dashboards.

Qualifications

Advanced SQL and working Python, experience with transformation frameworks such as dbt or SQLMesh, and data-mart design.
Knowledge of semantic layers, governed metrics, Git, code review, tests and CI/CD. Lakehouse systems such as S3, Athena and Iceberg are helpful.

Technology in this role

Python: Advanced SQL and working Python, experience with transformation frameworks such as dbt or SQLMesh, and data-mart design.

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-22

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