Data Platform Engineer - Go/SQL (Remote-First)

Teleport

Seattle (WA)

Remote

USD 222,000 - 342,000

Full time

14 days+
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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 hiring its first Data Engineer to build and own Teleport's internal data platform. You will design data pipelines and a central warehouse to turn raw data from product usage, costs, budgets, and sales into trusted data for all teams.

You will collaborate with product, engineering, finance, and revenue to model data and deliver reliable datasets. This role emphasizes data governance, scalability, and security in a remote-first, globally distributed company.

Qualifications

  • Proficient in SQL and data modeling with emphasis on scalable pipelines.
  • Experience building data pipelines in Python or Go.
  • Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift).
  • Experience with orchestration/transformation tools like Airflow or dbt.
  • Ability to handle sensitive data with proper governance and retention practices.

Responsibilities

  • Design and build data pipelines ingesting data from internal sources into a central warehouse.
  • Design data models and schemas that are performant and evolvable.
  • Build data quality checks so bad data fails loudly downstream.
  • Handle sensitive data responsibly with access control and retention policies.
  • Partner with stakeholders to scope new data sources and provide self-serve access.

Skills

SQL
Go
Python
Data modeling
Data pipelines
Snowflake
BigQuery
Redshift
Data quality checks
Collaboration

Tools

Airflow
dbt
GitHub

Job description

Teleport is hiring its first Data Engineer to build and own Teleport's internal data platform. You will design data pipelines and a central warehouse to turn raw data from product usage, costs, budgets, and sales into trusted data for all teams.

You will collaborate with product, engineering, finance, and revenue to model data and deliver reliable datasets. This role emphasizes data governance, scalability, and security in a remote-first, globally distributed company.

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