Senior Data Engineer

Details

Teleport is the AI Infrastructure Identity Company, providing cryptographically secured identity for humans, machines, workloads, and AI agents. The company is remote-first and globally distributed.

Responsibilities

• 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.

Requirements

• Willingness to collaborate with Teleport engineers on a 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 BigQuery.
• 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-versus-buy decisions, operational simplicity, and managing scope in a startup environment.
• Intellectual curiosity and willingness to master new technologies.
• Comfort changing the area of focus and working directly with stakeholders across the company.
• A collaborative, transparent, no-ego mindset and willingness to seek feedback.

Hiring Process

The hiring process includes a recruiter meeting, a hiring manager meeting, collaboration on a data engineering challenge using GitHub and Slack, and a final review of the challenge solution. The challenge usually takes about two weeks.

Benefits

• Extensive health coverage
• Annual expense budget
• Rest and recovery policies
• Retirement savings plans
• Professional development opportunities
• Equity offer

Teleport is an equal opportunity employer.