Job Description

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.

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