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.
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.

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 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

Remote (Worldwide)

Application window anticipated to close: 7/1/2026.
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Handwritten notes are welcome.
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Recharge is hiring a Senior Data Engineer