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)
• Expert proficiency in 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