Consumer Reports is looking to create a fair and just marketplace for all by leveraging data and AI to drive personalized experiences, and is seeking a Software Engineer (Data and Personalization) to develop and optimize data-driven solutions and integrations.
Requirements
- Proficiency in SQL, Python, and PySpark, with experience building and optimizing scalable pipelines on Databricks.
- Working knowledge of AWS cloud services and Tableau.
- 5 years of hands-on experience working on projects involving customer data and analytics engineering, ideally with exposure to modern CDP, personalization and MarTech platforms (e.g., Segment, Braze, Optimizely)
- Familiarity with applying machine learning models, recommendation systems, or behavioral analytics to power real-time, hyper-personalized experiences.
- Experience working with CDPs to enable a 360-degree customer view that supports product and marketing initiatives.
- Strong computer science and engineering fundamentals
- Experience with data warehouses, lakehouses, and curated data marts
Responsibilities
- Build and optimize scalable data pipelines across lakehouses, data warehouses, and curated data marts, ensuring clean, high-quality data that serve diverse organizational needs.
- Connect customer data ecosystem with auxiliary platforms/tools that enable event/data collection, audience segmentation, campaign orchestration, customer engagement, and experimentation—ensuring seamless flow of data to power personalized consumer journeys.
- Deliver analytics-ready datasets and create dashboards in Tableau to measure personalization impact and inform decision-making
- Develop and optimize data-driven solutions and integrations that enable personalization, experimentation, and insights across CR's martech and digital ecosystem.
- Partner with product, marketing, analytics, data and technology teams to power data pipelines, experimentation, analytics and real-time personalization features.
- Contribute to building and scaling data solutions that directly shape CR's member experiences.
- Build and optimize scalable data pipelines to serve diverse organizational needs.
Other
- Bachelor's degree in a STEM field
- 5 years of relevant experience
- Ability to work in a hybrid environment, with preference for candidates in the tri-state area
- Commitment to fair, transparent pay and competitive, market-informed compensation
- Must be registered to do business in and can only hire from specific states and federal district
