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Data Engineer


Job Description

TeamSnap is looking for a Data Engineer to own our data extraction and orchestration infrastructure. You'll work alongside our Staff Data Engineer to build reliable, maintainable pipelines that power analytics and business operations across the company.

 This is a hands-on implementation role. You’ll implement new data infrastructure to replace legacy systems, architect solutions with the team, and build the orchestration layer that keeps data flowing reliably. If you enjoy making messy data problems clean and building infrastructure that others can trust, this is the role.



What You'll Do:
  •   Build and maintain data extraction pipelines from various sources into BigQuery
  •   Refactor and modernize existing extraction systems 
  •   Implement monitoring and alerting for pipeline health
  • Help design and implement our orchestration platform (tooling TBD as a team)
  • Build scheduling, dependency management, and failure recovery into our data workflows
  • Create visibility into pipeline status for the broader team and business
  • Maintain and optimize our BigQuery data warehouse
  • Support DBT model development and deployment workflows
  • Implement CI/CD for data infrastructure changes
  • Support SOC 2 compliance requirements for data systems
  • Implement security controls and access management in BigQuery
  • Document data flows and maintain data catalogs


  • What We're Looking For:
  • 3+ years data engineering experience building extraction pipelines
  • Strong SQL skills and experience with modern data warehouses (BigQuery, Snowflake, or Redshift)
  • Experience with data orchestration tools (Airflow, Dagster, Prefect, or similar)
  • Google Cloud experience (BigQuery, Cloud SQL, Pub/Sub, Cloud Storage) (AWS / Azure is ok too)
  • CI/CD and containerization experience (Docker
  • Ability to communicate clearly with technical and non-technical stakeholders
  • Experience with DBT
  • Fivetran or similar managed ingestion tools
  • Background in compliance/governance work (SOC 2, data privacy)
  • Experience cleaning up legacy data systems


  • Our Stack:
  • Warehouse: BigQuery
  • Transformation: DBT, DBT Cloud
  • Ingestion: Fivetran, Datastream
  • Infrastructure: Google Cloud (Pub/Sub, Cloud Storage, CloudSQL), Databricks
  • BI/Analytics: Omni, Amplitude
  • Reverse ETL: Hightouch
  • Monitoring: Datadog


  • Bonus Points:
  • You're a parent, coach, or participant in recreational sports
  • You've used TeamSnap (sign up for a free trial to see what we're about)