Senior Data Engineer - US

Teleport

• $130K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of data engineering experience in a startup environment
  • Strong SQL and analytics data modeling skills
  • Experience with dbt or similar SQL transformation workflows
  • Proficient with cloud data warehouses (Redshift, Snowflake, BigQuery)
  • Hands-on experience with data quality and reconciliation processes
  • Familiar with Python or Go for integrations
  • Effective communicator with stakeholders and cross-functional teams

Responsibilities

  • Design and maintain a cloud data warehouse and transformation workflows
  • Evaluate connectors and cloud services before custom software builds
  • Model data from multiple sources into coherent business metrics
  • Establish mappings for customer identities and billing entities
  • Collaborate with various departments to define key metrics
  • Implement data quality checks and documentation processes
  • Ensure data security through proper access controls

Benefits

  • Extensive health coverage
  • Annual expense budget for work-related activities
  • Rest and recovery policies to enhance work-life balance
  • Retirement savings plans to invest in your future
  • Professional development opportunities for career growth
Full Job Description
About the Role

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.

What You'll do
  • 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.
What We're Looking For
  • 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.


How We Hire

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.
  1. Zoom meeting with a Teleport recruiter. You'll learn about the company, our products, compensation philosophy, interview process, and key requirements.
  2. Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the data engineering challenge and answer your questions.
  3. Challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a Data Engineering Challengeusing 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.
  4. If your challenge solution meets our bar, you'll receive an offer to join Teleport.


The Benefits

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

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