Senior Data Engineer, Centerfield

• 5 or more years of experience in data engineering, analytics engineering, or business intelligence
• Strong SQL and Python skills
• Hands-on experience with BigQuery, including query optimization, partitioning, and clustering
• Experience working with modern data stacks, including dbt and an orchestration tool such as Dagster or Airflow
• Strong understanding of data modeling, incremental processing, and ETL best practices
• Ability to clearly explain data concepts to non-technical stakeholders
• Self-directed, organized, and comfortable owning systems independently in a remote environment

Desirable

• We’re looking for a full-time data expert to own our data pipelines, warehouse, reporting, and analytics. This person will be responsible for building a reliable data foundation and turning raw data into clear, actionable insights that support decisions across marketing, operations, and finance
• This is a hands-on individual contributor role for someone who is comfortable working end-to-end, from ingestion and modeling to BigQuery performance and stakeholder-facing reporting
• Build and maintain data pipelines from MySQL and external sources into BigQuery
• Own CDC ingestion using Google Cloud Datastream and API or batch ingestion with dlt
• Design and manage BigQuery tables with proper partitioning and clustering to ensure performant, cost efficient queries
• Build and maintain transformations and analytics models in dbt using staging, intermediate, and mart layers
• Orchestrate scheduled and incremental pipelines using Dagster
• Develop and maintain dashboards and automated reports used by marketing, operations, and finance
• Partner with stakeholders to define KPIs and translate business questions into data insights
• Ensure data quality, reliability, and consistency across the analytics stack
• Support forecasting, budgeting, and performance analysis with trusted data

• Interviews will take place after resumes have been screened for minimum requirements