Senior Data Engineer

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September 10

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Recharge

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SaaS • eCommerce • B2B

Recharge is a leading subscription management platform that empowers over 20,000 brands to drive revenue growth and retention through innovative and dynamic subscription solutions. By providing tools for building predictable revenue streams, understanding customer insights, and enhancing customer experiences, Recharge enables businesses to convert and retain subscribers effectively. The platform is compatible with major eCommerce platforms like Shopify and BigCommerce and offers robust analytics, easy subscription management, customizable portals, and growth tools such as upselling and cancellation prevention. Recharge is trusted for its reliable subscription management and its ability to help merchants scale and innovate their subscription and retention strategies. With a strong focus on growth, the platform manages subscriptions for over 100 million subscribers, processing billions of dollars in transactions.

501 - 1000 employees

Founded 2014

☁️ SaaS

🛍️ eCommerce

🤝 B2B

💰 $227M Series B on 2021-05

📋 Description

• 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. • Live by and champion our values: #day-one, #ownership, #empathy, #humility.

🎯 Requirements

• 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 • Experience with ML Operations is a plus.

🏖️ Benefits

• Medical, dental and vision plans • Retirement plan with employer contribution • Flexible Time Off • Paid Parental Leave • Monthly Remote Life and Merchant stipends