Senior Data Analytics Engineer (Customer Data)

Job Summary: Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in remote. Duties: • Build, optimize, and maintain customer data pipelines in PySpark/Databricks to support CDP-driven use cases across AWS/Azure/GCP • Transform raw and integrated customer data into analytics-ready datasets used for dashboards, reporting, segmentation, personalization, and downstream AI/ML applications • Develop and enrich customer behavior metrics, campaign analytics, and performance insights such as: ad engagement, lifecycle metrics, retention • Partner with Marketing, Sales, Product, and Data Science teams to translate business goals into metrics, features, and analytical data models • Build datasets consumed by Power BI/Tableau dashboards (hands-on dashboard creation not required) • Ensure high cluster performance and pipeline optimization in Databricks, including troubleshooting skewed joins, sorting, partitioning, and real-time processing needs • Work across multiple cloud and vendor ecosystems such as: AWS/Azure/GCP; Hightouch or comparable CDP vendors • Participate in the data ingestion and digestion phases, shaping integrated data into analytical layers for MarTech and BI • Contribute to and enforce data engineering standards, documentation, governance, and best practices across the organization Desired Skills/Experience: • 6+ years of experience in Data Engineering, Analytics Engineering, or related fields, including data modeling experience • Strong Data Engineering fundamentals with the ability to design pipelines, optimize performance, and deliver real-time or near-real-time datasets • Ability to deeply understand data, identifying gaps, designing meaningful transformations, and creating metrics with clear business context • Understanding of how customer data moves through Customer Data Platforms (CDPs) and how to design pipelines that integrate with them • Experience supporting Marketing, Customer Data, MarTech, CDP, segmentation, or personalization teams strongly preferred • Hands-on experience required with: Databricks, PySpark, Python, SQL, Building analytics datasets for dashboards/reporting and customer behavior analytics or campaign performance insights • Experience designing and implementing features that feed downstream AI or customer-facing applications Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position starting at $150-160,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.