Senior Data Platform Engineer (Remote)

Teleport; United States; Remote; USD 222,000 - 342,000; Full time

Benefits offered by this job

Extensive health coverage

Annual expense budget

Rest and recovery policies

Retirement savings plans

Professional development opportunities

Job summary

Teleport is seeking its first Data Engineer to build Teleport's internal data platform. You will design and own pipelines and a data warehouse turning raw company data into usable analytics.

You’ll collaborate with product, engineering, finance, and revenue to understand needs and deliver reliable, well-modeled data across teams. You will design a low-maintenance cloud warehouse, evaluate connectors and services, and model data for ARR, adoption, and gross margin, while ensuring data quality and

Qualifications

• Experience designing and operating a cloud data warehouse and transformation workflow.
• Strong SQL and dimensional/analytical data-modeling expertise.
• Production experience with dbt or an equivalent SQL transformation workflow.

Responsibilities

• Design and operate a low-maintenance cloud data warehouse and transformation workflow.
• Model data from CRM, contracts, finance, billing, product usage, and cloud infrastructure into coherent business entities and metrics.
• Establish canonical customer identity and mappings between accounts, tenants, billing entities, and other identifiers.

Skills

SQL

Data modeling

dbt

Cloud data warehouse

Python

Go

CI/CD

Infrastructure as code

Data quality

Access control

Stakeholder collaboration

Tools

dbt

Redshift

Snowflake

BigQuery

GitHub

Job description

Teleport is seeking its first Data Engineer to build Teleport's internal data platform. You will design and own pipelines and a data warehouse turning raw company data into usable analytics.

You’ll collaborate with product, engineering, finance, and revenue to understand needs and deliver reliable, well-modeled data across teams. You will design a low-maintenance cloud warehouse, evaluate connectors and services, and model data for ARR, adoption, and gross margin, while ensuring data quality and