# Senior Data Engineer

**Company:** [Stream](https://hotfix.jobs/companies/stream)
**Location:** Boulder, CO
**Role:** Data Engineering
**Salary:** $150k – $180k/yr
**Experience:** 5+ years
**Skills:** Python, SQL, BigQuery, GCP, Sqlmesh, dbt, Dlthub, Terraform, Airflow, GitHub Actions, Data Modeling, Salesforce, Stripe, Posthog, Looker Studio
**Posted:** 2026-09-10

> Own and evolve Stream’s revenue operations data platform, including ingestion, transformation, modeling, infrastructure, reliability, and reverse ETL. The role requires 5+ years of production data platform experience, strong SQL and Python, cloud warehouse expertise, and modern ELT and infrastructure-as-code skills.

## Job Description

## Responsibilities
- Build and evolve ingestion pipelines using Python and dltHub into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other go-to-market systems.
- Design incremental loading, write dispositions, scheduling, and predictable source onboarding.
- Build SQLMesh transformation models and maintain accurate dimensional models for revenue waterfall, GTM funnel, marketing attribution, and product usage.
- Improve data quality and observability through freshness checks, reconciliation tests, and execution monitoring.
- Own BigQuery and supporting GCP infrastructure, including Terraform, IAM, service accounts, scheduled jobs, and deployment workflows.
- Deliver trusted datasets to Looker Studio, Google Sheets, and internal CRM systems; run reverse ETL into operational systems such as Salesforce.
- Shape engineering standards and architecture, review pipeline and model changes, and support analysts and engineers contributing to the platform.
- Respond to stale, incorrect, or delayed data and trace issues across pipelines, transformations, and upstream systems.

## Requirements
- 5+ years building and operating production data platforms.
- Expert SQL and strong Python skills.
- Experience designing incremental, idempotent, and well-tested pipelines.
- Strong experience with BigQuery or another modern cloud data warehouse.
- Experience with modern ELT tools such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte.
- Experience with orchestration and CI/CD, such as GitHub Actions or Airflow.
- Infrastructure-as-code experience with Terraform or an equivalent tool.
- Strong data modeling skills, including 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.
- Experience working with business stakeholders while maintaining engineering discipline.
- Deep GCP experience, including IAM, service accounts, and BigQuery cost optimization.

## Compensation and Benefits
- Colorado salary range: $150,000–$180,000 per year, plus stock options.
- Hybrid work with three days per week in the office.
- 19+ days of paid time off and 10 paid holidays.
- Health, dental, and vision coverage; 401(k) contribution plan with 4% match.
- Fitness stipend, learning and development budget, parental leave, company laptop, parking and transit benefits, and other office perks.

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