Senior Data Engineer

Stream
Boulder
Workplace: HybridFull timeUSD 150,000 - 180,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Ownership","Attention to detail"]

Own a small end-to-end data platform that powers Stream’s go-to-market and product decisions. Build ingestion pipelines and integrate GTM systems into BigQuery, then develop SQLMesh transformation models and reliable, observable data for core revenue and analytics metrics. During a GCP migration, manage infrastructure with Terraform and enable trusted datasets for Looker Studio, Sheets, and internal CRM—plus reverse ETL back into systems like Salesforce.

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FursaFursa
Stream
Stream
6 days ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 5 days ago

Job Summary

Own a small end-to-end data platform that powers Stream’s go-to-market and product decisions. Build ingestion pipelines and integrate GTM systems into BigQuery, then develop SQLMesh transformation models and reliable, observable data for core revenue and analytics metrics. During a GCP migration, manage infrastructure with Terraform and enable trusted datasets for Looker Studio, Sheets, and internal CRM—plus reverse ETL back into systems like Salesforce.
Location: Boulder
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and evolve ingestion pipelines into BigQuery, including incremental loading, scheduling, and low-risk onboarding for new sources.
  • •Develop transformation models with SQLMesh to keep business metrics accurate (revenue waterfall, GTM funnel, attribution, product usage).
  • •Improve reliability with data quality/observability, freshness checks, reconciliation tests, and execution monitoring.
  • •Own the data platform infrastructure on GCP, using Terraform, IAM, service accounts, and deployment workflows.
  • •Enable the business by delivering trusted datasets to BI tools and running reverse ETL back into operational systems like Salesforce.

Pay and Benefits

Salary: USD 150,000 - 180,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityGym MembershipPaid LeaveLearning BudgetEquipment Provided

Key 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 (SQLMesh, dbt, dltHub, Fivetran, or Airbyte) and orchestration/CI/CD (GitHub Actions, Airflow, or equivalent).
Experience:5+ yearsRevenue operationsGTMCloud dataData warehousing
Skills:OwnershipAttention to detail
Tech Stack:PythonDltHubDltBigQueryGCPSalesforceStripePostgresPostHogSQLSQLMeshTerraformIAMService accountsLooker StudioGoogle SheetsInternal CRMReverse ETLGitHub ActionsAirflow

Company Brief

Stream
Provides scalable APIs and SDKs for building activity feeds, chat, and messaging features in web and mobile applications, enabling developers to add social and real-time experiences quickly.
Industry: API Platforms
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series B
Headquarters: Amsterdam, Netherlands
Founded: 2014
WebsiteLinkedIn