Senior Data Engineer at Recharge

Offer summary

Qualifications:

5+ years of experience in a data engineering role with a focus on building scalable data pipelines and platforms., 3+ years of hands-on experience with data pipeline design and building models for large data ingestion and transformation., Proficiency in SQL and strong skills in Python, with experience in ETL tools and data warehousing methodologies., Familiarity with data management platforms like Snowflake, Redshift, and workflow orchestration tools such as Airflow..

Key responsabilities:

Build and maintain data pipelines and infrastructure for internal analytics and customer-facing data products.

Create automated processes for monitoring and ensuring data quality and consistency.

Collaborate with teams to implement data strategies and develop data models.

Continuously improve the performance and operations of the data warehouse.

Job description

Who we are

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 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.

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
$144,000 - 180,000 USD
Hiring range in Canada
$128,000 - 160,000 CAD

Application window anticipated to close 06/02/2025. If you’re interested in this opportunity, please submit an application as soon as possible.

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

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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.

Transparency in Coverage

This link leads to the Anthem Blue Cross machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes network negotiated rates for all items and services; allowed amounts for OON items, services and prescription drugs; and negotiated rates and historical prices for network prescription drugs (delayed). EIN 80-6245138. This link leads to the Kaiser machine-readable files.

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