Recharge is the subscription platform for the world’s fastest-growing and most innovative brands. Shopify’s premier subscription solution, Recharge is on a mission to build the future of commerce around customer retention.
Known for its relentless product innovation and focus on ease of use, Recharge helps merchants deliver seamless customer experiences that drive customer retention and revenue growth. The Recharge platform leverages data from over 100 million shoppers to help brands more successfully set up, manage, and grow their subscription businesses.
Recharge is a hands-on partner to over 20,000 brands globally — including quip, Dr. Squatch, Blueland, Estrid, Oats Overnight, Bobbie, and more.
Learn more at: getrecharge.com
Overview
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 models 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 build end-to-end interfaces and integrations that surface data and metric insights directly to our merchants.
What you’ll do
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.
What you’ll bring
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
Compensation
Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.
Hiring range in the US
$148,000 USD - $185,000 USDHiring range in Canada
$108,000 CAD - $136,000 CAD
Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email recruiting@getrecharge.com before your interview—we’ll arrange an approved solution.
Benefits at a Glance
Medical, dental and vision plans
Retirement plan with employer contribution
Flexible Time Off
Paid Parental Leave
Monthly Remote Life and Merchant stipends
Recharge | Instagram | Twitter | Facebook
Recharge Payments is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Recharge Payments prohibits any form of workplace harassment.
5+ years data engineering experience building scalable ELT/ETL pipelines, data warehouses/lakes (Snowflake preferred), strong SQL and Python, experience with orchestration, containerization, and customer-facing data products.
Key Responsibilities
- building pipelines
- monitoring quality
- designing models
Skills & Tools
Snowflake, Redshift, databricks, MySQL, Postgres, Oracle, RDS, AWS, GCP, FiveTran, dbt, Python, Airflow, Cloud Composer, Kubernetes, Docker, SQL
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States or Canada
- Salary: USD 148,000 – 185,000 / year
- Languages: English
Benefits
- 401k matching
- Generous paid time off
- Retirement plan
- Generous parental leave
About Recharge
A subscription commerce platform that helps merchants manage and grow recurring revenue and customer retention. — Industry: Information Technology