Data Platform Engineer

Design, build, and maintain scalable ETL/ELT pipelines and data integration workflows.

• Ingest, transform, and manage data from APIs, third-party platforms, event-tracking systems, and internal applications.

• Maintain and optimize cloud data platforms and data warehouses, including BigQuery, Snowflake, or similar technologies.

• Develop and manage data models, transformations, and datasets that support analytics, reporting, and AI/ML initiatives.

• Monitor data quality, pipeline performance, and system reliability; troubleshoot data issues and integration failures.

• Implement and validate event tracking and analytics instrumentation across web and mobile experiences.

• Translate business requirements and retail/eCommerce KPIs into scalable data models, SQL logic, and reporting solutions.

• Partner with Product, Engineering, Sales, and business stakeholders to define metrics, reporting requirements, and data strategies.

• Build and maintain Tableau dashboards and reporting solutions that enable data-driven decision-making.

• Contribute to data architecture, platform scalability, and long-term data strategy.

5+ years of experience in Data Engineering, Analytics Engineering, or a related field.

• Strong SQL expertise with experience building and optimizing complex queries, transformations, and data models.

• Experience building and maintaining ETL/ELT pipelines and data integration workflows.

• Proficiency in Python for data engineering and automation.

• Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.

• Experience working with AWS and/or Google Cloud Platform.

• Experience implementing and validating event tracking, analytics instrumentation, and customer behavior data collection.

• Strong understanding of retail and eCommerce KPIs, including conversion, AOV, revenue, engagement, and funnel performance.

• Ability to translate business requirements and KPI definitions into scalable data models, SQL logic, and reporting solutions.

• Experience with Tableau, including dashboard development, KPI reporting, and business-facing analytics

Nice to Have Skills & Experience

Experience supporting AI/ML platforms and data science workflows.

• Experience with streaming technologies such as Kafka or Pub/Sub.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.