Data Engineer

TeamSnap is a sports and communication platform dedicated to enhancing youth sports experiences. They are looking for a Data Engineer to own their data extraction and orchestration infrastructure, building reliable pipelines to support analytics and business operations across the company.

Responsibilities:

• 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

Requirements:

• 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
• 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)