Senior Data Engineer

Stream•Boulder, CO

14d•$150,000 - $180,000•Hybrid

About The Position

The data platform in this role is what our go-to-market and product decisions run on. You'll own the pipelines, integrations, and central repository that bring Stream's data together, plus the models that turn it into something the business can trust. We're mid-migration to GCP, so there's real architecture to shape. Two things make this different from most data jobs. A Revenue Operations team owns the stakeholder relationships and the business questions, so your time goes into building durable systems instead of chasing requirements. And analytics translation is increasingly handled by AI, which is exactly why the engineering underneath it has to be right. Data modeling is the core of this role. It's a small team and a fast, unfinished environment. High drive, sometimes hectic. If you like owning a platform end to end, that's the appeal. This is a full-time job opening based in Boulder (3 days hybrid).

Requirements

5+ years building and operating production data platforms
Expert SQL and strong Python
Experience designing incremental, idempotent, well-tested pipelines
Solid experience with BigQuery or another modern cloud data warehouse
Experience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte
Experience with orchestration and CI/CD (GitHub Actions, Airflow, or equivalent)
Infrastructure-as-code experience with Terraform or a close equivalent
Strong data modeling skills: dimensional modeling, warehouse design, testing, and observability

Nice To Haves

Revenue Operations or GTM data experience
Salesforce and Stripe data modeling
Product analytics platforms such as PostHog
Marketing attribution and funnel analytics
MRR, expansion, contraction, churn, and revenue reconciliation logic
Working closely with business stakeholders while keeping engineering discipline
GCP depth, including IAM, service accounts, and BigQuery cost optimization

Responsibilities

Build and evolve the ingestion platform. Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems. Design incremental loading, write dispositions, and scheduling, and make onboarding a new source predictable and low-risk.
Build the transformation layer. SQLMesh models across our layered architecture, clean and well-tested dimensional models, and clear conventions for grain, naming, and audit. Keep the core business models accurate: revenue waterfall, GTM funnel, marketing attribution, and product usage.
Improve reliability. Expand data quality and observability, build freshness checks, reconciliation tests, and execution monitoring. Take point when data is stale, wrong, or late, and trace issues across pipelines, transformations, and upstream systems.
Own the platform infrastructure. BigQuery and supporting GCP, plus Terraform, IAM, service accounts, scheduled jobs, and deployment workflows, tuned for security, reliability, and cost.
Enable the business. Deliver trusted datasets to Looker Studio, Google Sheets, and our internal CRM, and run reverse ETL back into operational systems like Salesforce.
Raise the technical bar. Help shape engineering standards and architecture, review pipeline and model changes, and share context with the analysts and engineers who contribute to the platform.

Benefits

19+ days of paid time off plus 10 paid holidays
Hybrid work flexibility (3 days a week from the office)
Free health insurance for the employee and partial coverage for dependents (80% contribution coverage for health and 100% for dental and vision)
401k contribution plan with 4% match
Fitness stipend
Company equity
Dog-friendly office!
A Macbook Pro provided
A Learning and Development budget
Team lunches and plenty of snacks
RTD pass + free parking pass on Pearl Street
An office on Pearl Street in downtown Boulder
12 weeks paid parental leave for primary parents
The opportunity to attend or present to global conferences and meetups
The possibility to visit our office in Amsterdam