Senior Data Engineer

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $148k - $185k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Logo of Recharge

Recharge

501 - 1000 employees

Founded 2014

☁️ SaaS

🛍️ eCommerce

🤝 B2B

💰 $227M Series B on 2021-06

SaaS • eCommerce • B2B

Recharge is a subscription commerce platform that helps e-commerce brands build, run, and scale subscription programs. Focused heavily on Shopify merchants, Recharge provides subscription management, customer portals, churn prevention, upsell/cross-sell, bundles, loyalty and referral programs, analytics, AI-powered Concierge SMS, and extensible APIs/SDKs. The company offers enterprise solutions and hands-on partnership and claims large scale metrics (e. g. , powering a major share of Shopify subscriptions, 100M subscribers, 20,000 brands served, and $1B+ processed per month).

📋 Description

• Build data pipeline, ELT and infrastructure solutions for internal data analytics/science and external customer-facing data products • Create automated monitoring, auditing and alerting processes to ensure data quality and consistency • Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual, logical and physical data models • Deliver trusted data and metrics via AI/LLM tools such as Claude, including a governed semantic layer and MCP-based interfaces • Improve data warehouse operations, monitoring and performance • Communicate with analysts, developers, business users and executives • Redesign and optimize data processes using AI, including LLM-assisted development, automated documentation and issue resolution • Champion Recharge’s values: #day-one, #ownership, #empathy and #humility

🎯 Requirements

• Typically, 5+ years experience in a data engineering related role • 3+ years of hands-on experience designing and building data pipelines and models for ingesting, transforming and delivering large amounts of data • Experience with data warehouse, data lake and enterprise data management platforms including Snowflake, BigQuery, MySQL, Postgres, RDS, AWS and GCP • Experience building data pipelines, models and infrastructure for external, customer-facing analytics applications • Solid grasp of data warehousing methodologies such as Kimball and Inmon • Experience with ETL tools including FiveTran, dbt and Python • Experience with workflow orchestration engines such as Airflow and Cloud Composer • Hands-on experience with Kubernetes and 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

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