Staff Data Engineer - US

Teleport is the AI Infrastructure Identity Company, solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity. We make trusted computing simple, enabling freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, Doordash, and Elastic to secure infrastructure for an AI world.

About the role

We are looking for our first Data Engineer to build Teleport's internal data platform. You will design and own the pipelines and warehouse that turn raw data from across the company—including product usage, production costs, budgets, and sales—into data that any team can use to answer their own questions. You will work closely with teams across the company, including product, engineering, finance, and revenue, to understand their data needs and deliver reliable, well-modeled data they can depend on.

Responsibilities

• Design and build data pipelines that ingest data from a variety of internal sources into a central warehouse.
• Design data models and schemas that are performant, well-documented, and can evolve as our data and questions change.
• Build data quality checks and validation into every stage of the pipeline so that bad data fails loudly instead of quietly reaching downstream tables.
• Handle sensitive data responsibly, including access control, redaction, and retention policy for data containing customer or user information.
• Partner with stakeholders across the company to scope new data sources and analytical tables, and help them get self-serve access to the data they need.

Requirements

• Willingness to work collaboratively with Teleport's engineers on a coding challenge in SQL / Go as part of the interview process.
• Builder mentality and experience—you love building zero-to-one products.
• Expertise in data modeling and SQL.
• Extensive experience building data pipelines in Python or Go.
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift, or similar).
• Experience with pipeline orchestration or transformation tooling.
• Experience handling sensitive data responsibly, including access control and data retention practices.
• Intellectual curiosity and a willingness to master new technologies.
• Comfortable changing the area of focus and working directly with stakeholders across the company.
• No-ego mindset of collaboration, transparency, and seeking feedback from others.

Nice to Have

• Go is your language of choice.
• Mathematics or statistics background.
• Knowledge of Airflow, dbt, or similar tools.

Benefits

• Extensive health coverage.
• Annual expense budget.
• Rest and recovery policies that maximize your ability to recharge.
• Investment in your future with retirement savings plans.
• Professional development opportunities.

Pay

Compensation range: $222K - $342K.