Senior Data Analytics Engineer (Customer Data) at KellyMitchell Group

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/GCPTransform raw and integrated customer data into analytics-ready datasets used for dashboards, reporting, segmentation, personalization, and downstream AI/ML applicationsDevelop and enrich customer behavior metrics, campaign analytics, and performance insights such as: ad engagement, lifecycle metrics, retentionPartner with Marketing, Sales, Product, and Data Science teams to translate business goals into metrics, features, and analytical data modelsBuild 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 needsWork across multiple cloud and vendor ecosystems such as: AWS/Azure/GCP; Hightouch or comparable CDP vendorsParticipate in the data ingestion and digestion phases, shaping integrated data into analytical layers for MarTech and BIContribute to and enforce data engineering standards, documentation, governance, and best practices across the organizationDesired Skills/Experience:6+ years of experience in Data Engineering, Analytics Engineering, or related fields, including data modeling experienceStrong Data Engineering fundamentals with the ability to design pipelines, optimize performance, and deliver real-time or near-real-time datasetsAbility to deeply understand data, identifying gaps, designing meaningful transformations, and creating metrics with clear business contextUnderstanding of how customer data moves through Customer Data Platforms (CDPs) and how to design pipelines that integrate with themExperience supporting Marketing, Customer Data, MarTech, CDP, segmentation, or personalization teams strongly preferredHands-on experience required with: Databricks, PySpark, Python, SQL, Building analytics datasets for dashboards/reporting and customer behavior analytics or campaign performance insightsExperience designing and implementing features that feed downstream AI or customer-facing applicationsBenefits:Medical, Dental, & Vision Insurance PlansEmployee-Owned Profit Sharing (ESOP)401K offeredThe 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.