Senior Data Engineer

ReCharge Payments; United States; Remote; USD 144,000 - 180,000; Full time

Job summary

Recharge Payments is seeking a Senior Data Engineer to join their centralized Data and Analytics team. This role involves building scalable data pipelines and infrastructure to support internal analytics and customer-facing data products. The ideal candidate will have extensive experience in data engineering, with a strong focus on data quality and consistency. Join a leading company recognized for its innovative subscription platform and work in a collaborative environment that values ownership and empathy.

Benefits

Medical, dental and vision plans

Retirement plan with employer contribution

Qualifications

• 5+ years experience in data engineering roles.
• Hands-on experience with data pipelines and models.
• Expert proficiency in SQL and ETL tools.

Responsibilities

• Build scalable data pipelines and infrastructure.
• Create automated monitoring and alerting processes.
• Design and optimize ETL processes for data integration.

Skills

Data pipeline building

Data modeling

Data warehousing

SQL

ETL processes

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Redshift

Airflow

Kubernetes

Docker

Job description

In a world where acquisition costs are skyrocketing, funding is scarce, and ecommerce merchants are forced to do more with less, the most innovative DTC brands understand that subscription strategy is business strategy.

Recharge is simplifying retention and growth for innovative ecommerce brands. As the #1 subscription platform, Recharge is dedicated to empowering brands to easily set up and manage subscriptions, create dynamic experiences at every customer touchpoint, and continuously evaluate business performance. Powering everything from no-code customer portals, personalized offers, and dynamic bundles, Recharge helps merchants seamlessly manage, grow, and delight their subscribers while reducing operating costs and churn. Today, Recharge powers more than 20,000 merchants serving 100 million subscribers, including brands such as Blueland, Hello Bello, LOLA, Chamberlain Coffee, and Bobbie—Recharge doesn’t just help you sell products, we help build buyer routines that last.

Recharge is recognized on the Technology Fast 500, awarded by Deloitte (3rd consecutive year), and is Great Place to Work Certified.

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 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.

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.
• 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.

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 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 of 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.
• Experience with ML Operations is a plus.

Compensation

Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes individual and team performance. Salary ranges are competitive and aligned with country-specific practices, with individual compensation determined by skills, qualifications, and experience. This does not include any equity or benefits that might be part of your total compensation package.

• Hiring range in the US: $144,000 - 180,000 USD
• Hiring range in Canada: $128,000 - 160,000 CAD

Application window anticipated to close 06/02/2025. Interested candidates are encouraged to apply promptly.

Benefits at a Glance:

• Medical, dental, and vision plans
• Retirement plan with employer contribution

Recharge Payments is an equal opportunity employer. We consider all qualified applicants without regard to protected veteran or disability status, race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy, or age. Workplace harassment is prohibited.

Transparency in Coverage

This link leads to Anthem Blue Cross machine-readable files, providing network negotiated rates, allowed amounts for OON items, services, and prescription drugs, and historical prices for network prescription drugs. The link also leads to Kaiser machine-readable files.

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