Senior Analytics Engineer, Marketing Sciences

Role Overview

We are looking for a Senior Data Engineer to lead the evolution of our Marketing Sciences data ecosystem. In this role, you will be the technical architect of the infrastructure that powers our growth engine—from performance marketing attribution to the productionalization of predictive models.

What You Will Do

You will bridge the gap between core data engineering and high-impact growth initiatives. While our Data Science team focuses on R&D, you will ensure the high-fidelity customer signals required for Next Best Action (NBA) frameworks, Predictive Lifetime Value (pLTV) models, and Demand Modeling are accurate, scalable, and readily available for the Growth Analytics team.

Why It Might Be a Fit

Desired Skills & Experience include Modern Data Stack, Programming & Scripting, Marketing Data Savvy, Segment, Strategic Architecture, and Collaboration.

Requirements

• Expert proficiency in Snowflake and DBT for creating modular, testable transformations that support complex growth analytics.
• Proficient in Python and SQL, with an ‘early adopter’ mindset toward leveraging modern coding environments and automation to accelerate output.
• Proven experience handling semi-structured API data (JSON) from marketing sources and managing the complete lifecycle from ingestion to consumption.
• Expertise in designing, implementing, and managing Segment event pipelines.
• Ability to lead a technical vision with a holistic view of how data engineering impacts business-critical metrics like LTV, CAC, and ROAS.
• Experience working in an Agile (SCRUM/Kanban) environment, partnering closely with Analysts, Data Scientists, and Marketing Stakeholders.

Benefits

• Medical, dental, vision, life & disability insurance
• 401(k) plan with company match
• Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
• Mental health resources
• Paid parental leave & Backup Care
• Tuition reimbursement
• Employee Resource Groups (ERGs)