Who you are

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions
• 3+ years of hands-on experience designing and building data pipelines and models to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake
• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle, RDS, AWS, GCP)
• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications
• Solid grasp to data warehousing methodologies like Kimball and Inmon
• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)
• Experience with workflow orchestration management engines such as Airflow & Cloud Composer
• Hands on experience with Data Infra tools like Kubernetes, Docker
• Expert proficiency in SQL
• Strong Python proficiency

What the job involves

• The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers
• As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products
• Your work will empower data analysts to derive deeper strategic insights from our data, and will enable developers to build applications that surface data insights directly to our merchants
• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products
• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse
• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives
• Redesign and optimize existing data processes using AI (e.g., LLM-assisted development, automated documentation, issue resolution) to improve team productivity and enhance data quality across the data warehouse
• Live by and champion our values: #day-one, #ownership, #empathy, #humility

The application process

• Application window anticipated to close: 6/1/2025. If you’re interested in this opportunity, please submit an application as soon as possible

Benefits

• Equity packages
• 401(k) offering
• 100% coverage for medical, dental, vision, and life insurance for you and your dependents
• $700/mo remote-life stipend
• Monthly stipend to cover health and wellness
• Coworking space
• Subscription products
• Unlimited paid time off
• 16 weeks of paid parental leave to eligible team members
• Team & company retreats: We value making in-person connections. Past locations include San Diego, Vail, Seattle & Orlando