Tech Stack

Description

You will own and evolve the pipelines, models, and infrastructure that power data-driven decisions across the business, partnering with analysts to turn raw data into reliable datasets. You'll design, build, and maintain ETL pipelines from sources like Salesforce and Stripe into Snowflake, and develop Airflow DAGs to ensure timely data delivery. This role involves monitoring data quality and contributing to platform improvements to support product development and business intelligence.

Requirements

• Experience in data engineering or software engineering
• A track record of building and maintaining production ETL pipelines from source systems to a queryable data warehouse
• Strong programming skills, including proficiency in Python and the ability to write clean, maintainable SQL
• Experience building well-documented data models and working with version control tools such as Git
• The ability to communicate clearly with cross-functional partners, including analysts, product managers, and other stakeholders
• Experience working with cloud-based data platforms
• A curious mindset and a desire to continuously learn and improve data systems

Responsibilities

• Design, build, and maintain ETL pipelines that extract data from sources like Salesforce, Stripe, Zendesk, Google Analytics, and the 7shifts core application into Snowflake
• Develop and maintain Airflow DAGs that orchestrate the full warehouse sync cycle, including extract, load, transform, and reverse ETL
• Write and review data transformation models, establish consistent patterns, and maintain clear documentation
• Partner with analytics engineers and data analysts to translate business questions into well-modeled datasets
• Monitor and maintain data quality by identifying and responding to schema changes, stale tables, and pipeline failures
• Contribute to improvements across the data platform, including CI/CD pipelines, Kubernetes-deployed services, and internal tooling