Senior Data Engineer

Don't wait for the future of infrastructure. Be part of it.

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, Door Dash, and Elastic to secure infrastructure for an AI world.

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.

• Design and operate a low-maintenance cloud data warehouse and transformation workflow.
• Evaluate managed connectors, source exports, and native cloud services before building custom ingestion software.
• 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 source-specific identifiers.
• Partner with Finance, Revenue, Product, and Engineering to define concepts such as ARR, adoption, infrastructure cost, and gross margin.
• Build data quality checks, reconciliation, documentation, lineage, and observable failure behavior into the system.
• Protect customer and employee information through appropriate access control, minimization, redaction, and retention practices.
• Manage warehouse performance and cost, and keep the platform understandable and operable by a small team.
• Use Python or Go for integrations that cannot be handled safely and economically by managed or warehouse-native capabilities.

• Willingness to work collaboratively with Teleport's engineers on Data Engineering Challenge to design and build an analytics warehouse for a fictional business.
• Builder mentality; experience building a data engineering function from scratch at a growing startup is highly desirable.
• Strong SQL and dimensional or analytical data-modeling expertise.
• Experience translating ambiguous stakeholder questions into documented, testable business definitions.
• Production experience with dbt or an equivalent SQL transformation workflow.
• Experience with a cloud data warehouse such as Redshift, Snowflake, or Big Query.
• Experience with managed ELT, APIs, object storage, incremental loading, and source schema evolution.
• Strong data-quality and reconciliation practices, including explaining how published numbers relate to their sources.
• Experience handling sensitive data, access control, and retention responsibly.
• Practical experience with Python or Go, CI/CD, infrastructure as code, and cloud operations.
• Sound judgment about build vs. buy decisions, operational simplicity, and managing scope in a startup environment.
• 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.

Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do.

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 data engineering challenge and answer your questions.
• Challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a Data Engineering Challenge using Git Hub. 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…