Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights that drive definition and implementation of our business strategies. The Data Engineer opportunity is ideal for someone who is passionate about wrangling and building pipelines for multiple large sets of data from disparate sources to provide end to end data solutions, empowering the organization to meet key business objectives.

As a Senior Data Engineer, you will own and architect Recharge’s data landscape. You will combine product usage, behavioral, transactional, business systems, and third-party data into the analytics pipeline. You will work closely with our analytics and engineering teams to implement solutions to answer complex questions and drive business decisions.

What you'll do

• Live by and champion our values: #day-one, #ownership, #empathy, #humility.
• Hands-on leadership, influence, and development of all things data services.
• Develop modern data architectural approaches for business intelligence reporting and analytics, including that for machine learning models and data science, ensuring effectiveness, scalability, and reliability.
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts and scientists, business owners, and decisions makers.
• Complete current evaluation of new ETL software options, propose recommendations, and implement the solution.
• Facilitate data transformation, normalization, cleansing, aggregation, workflow management, and business rule application.
• Detect data quality issues, identify their root causes, implement fixes, and design data audits to capture issues.
• Distill technical requirements into the product development and operational process via continuous collaboration with product, engineering, and analytics team members.
• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.
• Use analytics to influence product development, surfacing data around product usage and customer behavior.
• ETL tool evaluation and implementation to prepare for scaling and efficiency.

What you'll bring

• Typically, 6+ years experience in a data engineering related role (Data Warehouse Developer, ETL Developer, Business Intelligence Analytics, Software Engineer) with a track record of manipulating, processing and extracting value from datasets
• Experience working with  a variety of ETL platforms (Matillion {preferred}, CloverETL, FiveTran, Stitch, DBT, Spark, AWS Glue, DataFlow)
• 3+ years of hands-on experience designing and building ETL pipelines for  ingesting, transforming and delivery of large amounts of data, from multiple sources into a Data Warehouse/Data Lake.
• Experience with a variety of data storage platforms (Snowflake {preferred}, Redshift, MySQL, Postgres, Oracle,  RDS)
• High level of proficiency in Python and SQL
• Deep understanding and application of modern data processing technology and real-time/low-latency data pipeline and ETL architectures
• Strong stakeholder interaction and influence experience at executive, business stakeholder, and engineering team levels
• Bachelor degree or equivalent experience

Engineering at Recharge

• Our values set our tone and pace! We make every day count as if it were Day One. Our collective success is driven by our individual Ownership. We communicate with care and Empathy. And we approach every task with a learner's open mind and Humility.
• We look for engineers who have strong coding fundamentals, are pragmatic about getting work done, focus on the customer, understand scale, are adaptable to growth and change, and are self-sufficient enough to thrive in a remote-work environment. Our Engineering Interview Process is designed to focus on these key attributes while giving candidates a candid view into what it’s like to work here.
• Our interview process begins with an informational conversation, followed by one-on-one interviews with cross-functional teammates, and concludes with meeting a technical leader. Teammate sessions include hands-on-keyboard technical assessments as well as reviews of relevant projects and career experience.
• Technical challenges make everyday a growth experience and leadership opportunity for teammates at all levels. We serve increasingly sophisticated e-commerce merchants who need new, flexible, feature-rich APIs. We process billions of dollars in recurring payments and we continually expand to support new e-commerce platforms, payment types, geographies, currencies, data capabilities, and advanced e-commerce workflows.
• Engineering culture at Recharge is inclusive and people focused. This focus is on our merchants, their shoppers, and our teammates. We move fast, deliver quality low-risk changes to production multiple times a day, and work with high trust and efficient collaboration.
• Our stack includes: Python, Flask, Redis, Docker, GCP, Terraform, SQLAlchemy and MySQL