Data Engineer (Only W2)

Key Responsibilities:

•       Design, build, and operate scalable batch and real-time data pipelines in Databricks and related tooling to support audience, personalization, and measurement use cases.

•       Build and maintain data models, feature/attribute pipelines, and marketing data feeds to decisioning systems and measurement platforms.

•       Implement data-quality validation, monitoring, and change management so segments, flags, and attributes are accurate and trustworthy.

•       Deliver governed customer attributes and audiences to activation platforms (e.g., Hightouch, Salesforce Marketing Cloud) with clear ownership and documentation.

•       Partner with data science to productionize model features and with architecture to align on data contracts and identity resolution.

•       Support privacy and compliance requirements across all data flows.

•       Provide leadership-ready status, roadmap, and metrics reporting, and prepare decision memos that drive cross-team and leadership alignment.

Basic Qualifications:

• 3+ years of experience in a data engineering role required.
• Strong SQL and proficiency in a programming language for data engineering (e.g., Python or Scala).
• Hands-on experience with Databricks/Spark, data lake/warehouse design, and pipeline orchestration.
• Experience with real-time/streaming data (e.g., Kafka) and event-driven architectures.
• Experience with reverse-ETL/activation and identity resolution (e.g., Hightouch, LiveRamp/UID2) preferred.
• Understanding of data modeling, data quality, governance, and change management.
• Familiarity with marketing/customer data concepts (C360, RFM, LTV, loyalty) and compliant handling of PII.

Extra Credit:

•       Experience in a MarTech, digital marketing, personalization, CRM, or retail-media ecosystem.

•       Familiarity with platforms in our stack, e.g., Salesforce Marketing Cloud (SFMC), Databricks, Hightouch, Kafka, Contentstack / CMS & DAM, LiveRamp / UID2.

•       Retail or convenience-retail industry experience.