Note: The job is a remote job and is open to candidates in USA. Recharge is a subscription platform that helps brands build customer retention and grow their subscription businesses. The Senior Data Engineer will build scalable data models, pipelines, and infrastructure for internal analytics and customer-facing data products, while enabling trusted metrics through AI/LLM tools and improving data quality and warehouse performance.
Responsibilities
- 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
- Build next-generation analytics by delivering trusted data and metrics via AI/LLM tools (e.g., Claude), including a governed semantic layer and MCP-based interfaces for internal and external users
- 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
Skills
- 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, BigQuery, MySQL, Postgres, 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
Benefits
- Medical, dental and vision plans
- Retirement plan with employer contribution
- Flexible Time Off
- Paid Parental Leave
- Monthly Remote Life and Merchant stipends
Company Overview
Company H1B Sponsorship