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Analytics Engineer at Temporal Technologies - ApplyBlast

Analytics Engineer

Temporal Technologies

3 months ago

Onsite

Full Time

Senior

0 applicants

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About this role

The role focuses on building and maintaining a trusted domain layer for tem's AI-native energy transaction platform, turning raw data into structured models that power commercial, financial, risk, and operational decisions. The engineer will set standards for dbt models, integrate new data sources, and collaborate across product, engineering, and sales teams to ensure high‑quality, scalable analytics infrastructure.

Responsibilities

Set and raise analytics engineering standards across the organization
Own and maintain the context (semantic) layer for trusted data access
Build and evolve the domain model from raw data to business‑critical outputs
Expand analytics engineering reach by integrating new data sources and domains
Partner with engineers, product managers, and sales to translate needs into reliable models

Skills

About Temporal Technologies

temporal.io

Headquarters

Bellevue, Washington, United States

Company Size

51-200 employees

Founded

2019

View Profile

Temporal provides an open-source durable execution platform for building reliable, stateful, long-running applications and orchestrating microservices. It handles common distributed-systems complexity — retries, state persistence, timers, and error handling — so teams can ship features faster and make apps resilient to failures. Temporal is available as self-hosted software and a managed cloud service, with SDKs for popular languages and tooling for observability and scaling. Developers choose Temporal for its fault-tolerance, scalability, and improved developer productivity when implementing complex workflows.