Staff Data Engineer - US
Indexed description
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the 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.
What You'll Do
- 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.
- Willingness to work collaboratively with Teleport's engineers on coding challenge in SQL / Go as part of the interview process.
- Builder mentality and experience — has built a data engineering function from scratch at a growing startup.
- Expertise in data modeling and SQL.
- Strong experience developing production code in Go.
- Expertise building data pipelines in Python or Go.
- Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift, or similar).
- Pipeline orchestration or transformation tooling hands-on experience.
- 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.
- Go is your language of choice.
- Mathematics or statistics background.
- Knowledge of Airflow, dbt, or similar tools.
For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout.
- Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements.
- Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the coding challenge and answer your questions.
- Coding challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a coding challenge in SQL / Go using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution.
- If your challenge solution meets our bar, you'll receive an offer to join Teleport.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- 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
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/
Compensation Range: $222K - $342K
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