СШАSenior Data Engineer - US
3 нед. назад
222k–342k USD / годСШАSeniorRemote
data engineeringcloud data warehousedata modelingpipeline design
Build and own Teleport's internal data platform, including pipelines and data warehouse to support multiple company teams.
О компании
- 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, DoorDash, and Elastic to secure infrastructure for an AI world.
Обязанности
- 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.
Требования
- 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 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 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.
Условия
- 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 .com/legal/apply/job-applicant/
Другое
- 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 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.
- You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
- Remote-first and globally distributed, we're genuinely passionate about what we're building.