Are you passionate about data, real-time pipelines, and high-impact decision-making? Do you want to build and scale a cutting-edge data platform that transforms how we handle marketing, customer engagement, and personalization? Our MarTech Data Engineering team bridges the gap between marketing, data, and business strategy, handling high-volume data from various sources, including digital advertising platforms, internal customer insights, and real-time event streams. We're looking for a Data Engineer to help us build scalable data solutions that power advanced marketing analytics, customer segmentation, and real-time personalization. What You'll Do Design and Develop Data Pipelines: Build and optimize ETL/ELT processes and data pipelines handling 100M+ changes daily. Enable Personalization & Decision Making: Power marketing strategies and customer engagement tools by integrating data from Google Ads, Meta Ads, TikTok, Twitter, and other platforms. Model Data for Insights & Reporting: Design clean, structured data models in Snowflake (or similar analytical databases) that fuel campaign analytics, LTV models, and budget optimization. Collaborate Across Teams: Work with data analysts, product managers, and marketing teams to translate business needs into scalable data solutions. Experiment & Innovate: Introduce new technologies and influence data architecture decisions to push the boundaries of MarTech innovation. What We're Looking For Must-Have Skills Strong experience with ETL, batch, and data pipelines Good experience in Python, SQL, and/or Scala Experience with Snowflake, BigQuery, or similar analytical databases Ability to design and implement report-ready data layers for analytics & BI teams Ability to work with marketing and product teams to translate business requirements into data solutions Bonus Points If You Have Experience with Airflow or other orchestration tools Familiarity with Kafka, Spark, or real-time data processing Knowledge of LTV modeling, marketing attribution, and customer segmentation Exposure to machine learning pipelines for marketing analytics Why Join Us? Work on a high-scale, cutting-edge data platform Direct impact on marketing strategy, customer engagement, and revenue growth A collaborative, cross-functional environment with data, product, and marketing teams Opportunities to introduce new technologies and shape data architecture Solve complex, high-volume data challenges in a fast-paced, innovative industry If you're excited about working at the intersection of data, technology, and marketing—and want to push the boundaries of MarTech innovation—we'd love to hear from you!