Senior Data Engineer

Customer.io is a platform used by over 7,500 companies to send automated communications. They are seeking a Senior Data Engineer to enhance their internal analytics and data platform, focusing on building reliable data pipelines and collaborating with data teams.

Responsibilities:

• Build and evolve our semantic layer — design, document, and optimize dbt models that enable trusted business metrics and self-service analytics
• Develop and maintain ETL/orchestration pipelines (e.g., Fivetran, Stitch, dbt Cloud, Airflow) to ensure reliable and scalable data flow
• Partner with data analysts, scientists, and business stakeholders to enable high-quality data access and experimentation
• Improve model performance, maintain documentation and data governance, and drive continuous improvements in reliability and cost efficiency
• Contribute to an AI- and analytics-ready data stack through clean modeling, validation, and best practices

Requirements:

• 3–5 years of hands-on experience as a Data Engineer or Analytics Engineer in a fast-paced environment
• Advanced proficiency with SQL, dbt, and Python
• Experience with Snowflake (or similar cloud data warehouses)
• Familiarity with ETL/orchestration tools like Fivetran, Stitch, or Airflow
• Comfortable collaborating with analytics and data science teams on shared modeling and enablement goals
• A problem-solver who balances pragmatism with technical rigor
• Based in the Americas, remote-friendly
• Experience with GCP nice to have
• Terraform experience a plus