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Teleport

Senior Data Engineer

Teleport

. Build Teleport's internal data platform as the company's first Data Engineer .

Posted 9/25/2026full-timeRemote • United StatesSenior💰 $222,000 - $342,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and managing cloud data warehouses, data modeling, and data quality practices while collaborating effectively with cross-functional teams. Proficient in Python or Go for data integration and transformation, with a strong focus on handling sensitive data responsibly.

Highest-signal resume keywords
Data Engineering Function DevelopmentSQL ExpertiseCloud Data Warehouse ExperienceData Quality PracticesPython or Go Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLDimensional Data ModelingData Transformation with dbtCloud Data Warehouse (Redshift, Snowflake, BigQuery)Managed ELTAPIsObject StorageIncremental LoadingData ReconciliationInfrastructure as Code
Soft Skills
CollaborationIntellectual CuriositySound Judgment
Tools & Technologies
GitHubCI/CD
Industry Keywords
Data Quality ChecksAccess ControlData RetentionBusiness MetricsStartup Environment

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudPythonSQLGo

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Extensive health coverage
  • Annual expense budget
  • Rest and recovery policies that maximize your ability to recharge
  • Retirement savings plans
  • Professional development opportunities
  • Equity