Join our team as a Data Engineer responsible for building, maintaining, and optimizing data workflows to drive insights and decision-making in marketing and business operations. In the Marketing Data Engineering department, you will develop scalable data pipelines, enhance data quality, and collaborate with stakeholders to deliver high-impact data solutions. Your responsibilities include designing, building, and continuously optimizing ETL/ELT workflows that power our data landscape—from ingestion to delivery—with reliability and scale in mind. You will partner with cross-functional stakeholders to shape datasets that drive informed decisions, leading data modeling, migration planning, and optimization from conception to production. Proactively monitor, validate, and improve data integrity across our pipelines using modern tooling, so teams always trust what they're working with. Own the technical documentation, data specifications, and metadata that keep our datasets accessible and understandable—enabling self-service across the organization. Build and maintain robust integrations with marketing platforms—including LinkedIn, Google Ads, and Meta—bringing external signals into our pipelines and making them actionable for the business.

Join our team as a Data Engineer responsible for building, maintaining, and optimizing data workflows to drive insights and decision-making in marketing and business operations. In the Marketing Data Engineering department, you will develop scalable data pipelines, enhance data quality, and collaborate with stakeholders to deliver high-impact data solutions. Your responsibilities include designing, building, and continuously optimizing ETL/ELT workflows that power our data landscape—from ingestion to delivery—with reliability and scale in mind. You will partner with cross-functional stakeholders to shape datasets that drive informed decisions, leading data modeling, migration planning, and optimization from conception to production. Proactively monitor, validate, and improve data integrity across our pipelines using modern tooling, so teams always trust what they're working with. Own the technical documentation, data specifications, and metadata that keep our datasets accessible and understandable—enabling self-service across the organization. Build and maintain robust integrations with marketing platforms—including LinkedIn, Google Ads, and Meta—bringing external signals into our pipelines and making them actionable for the business.