Senior Data Engineer
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Job Description
Senior Data Engineer building Teleport's internal data platform for AI infrastructure identity security. Designing warehouses, pipelines, and trusted business metrics across the company.
Responsibilities:
- Build Teleport's internal data platform as the company's first Data Engineer
- 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 CRM, contracts, finance, billing, product usage, and cloud infrastructure data into coherent business entities and metrics
- Establish canonical customer identity and mappings across accounts, tenants, billing entities, and source-specific identifiers
- Partner with Finance, Revenue, Product, and Engineering to define ARR, adoption, infrastructure cost, and gross margin
- Build data-quality checks, reconciliation, documentation, lineage, and observable failure behavior
- Protect customer and employee information through access control, minimization, redaction, and retention practices
- Manage warehouse performance and cost while keeping the platform understandable and operable by a small team
- Use Python or Go for integrations not safely or economically handled by managed or warehouse-native capabilities
- Collaborate with Teleport engineers on a take-home Data Engineering Challenge using GitHub over approximately two weeks
Requirements:
- Willingness to collaborate with Teleport's engineers on the Data Engineering Challenge
- 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
- 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 willingness to master new technologies
- Comfortable changing the area of focus and working directly with stakeholders across the company
- Progressive, hands-on Data Engineering experience is required, with the required amount not specified
- Ability to work in the US
- Ability to travel to Oakland, CA for onboarding week and occasionally for team events
- Consent to background, education, and employment verification
Benefits:
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Retirement savings plans
- Professional development opportunities
- Equity
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