Senior Marketing Data Engineer — Growth Analytics

SimplePractice; United States; On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) match

Flexible Time Off

Wellbeing days

Paid holidays

Summer Fridays

Mental health resources

Parental leave

Backup Care

ERGs

Job summary

SimplePractice is seeking a Senior Data Engineer to lead the evolution of our Marketing Sciences data ecosystem and power our growth engine. You will architect scalable data pipelines across marketing platforms, CRM data, and event streams, enabling reliable signals for NBA, pLTV, and demand modeling.

Collaborating with the Growth Analytics team, Data Scientists, and Analysts, you will ensure high-fidelity data, clean experiment logging, and seamless integration with MarTech tools to drive

Qualifications

• Experience building growth analytics data pipelines across marketing platforms, CRM data and event streams.
• Ability to productionize predictive models (pLTV, churn) and move them to production-ready environments.
• Experience with attribution and demand modeling, and standardizing metrics across the organization.

Responsibilities

• Growth Data Pipeline Architecture: Build and maintain scalable systems to ingest data from a wide range of sources, focusing on marketing platforms (Google Ads, Meta), CRM data, and event streams.
• Predictive Model Enablement: Partner with Growth Analytics to move predictive models from research to production-ready data environments.
• Attribution & Demand Modeling: Architect pipelines for Demand Models and LTV:CAC reporting with standardized metrics.
• Experimental Infrastructure: Support design and execution of A/B tests and causal inference with clean logging and cohort assignments.
• MarTech Integration: Collaborate with MarTech to optimize the stack and ensure Source of Truth across Iterable, HubSpot, Gong, Segment, etc.
• Reverse ETL & Activation: Enable Next Best Action by syncing warehouse insights to product and marketing tools for real-time interventions.

Skills

Modern Data Stack

Snowflake

DBT

Python

SQL

Marketing Data

Segment

Agile SCRUM

Collaboration

Tools

Iterable

HubSpot

Gong

Segment

Census

Hightouch

Kafka

AWS Kinesis

Job description

SimplePractice is seeking a Senior Data Engineer to lead the evolution of our Marketing Sciences data ecosystem and power our growth engine. You will architect scalable data pipelines across marketing platforms, CRM data, and event streams, enabling reliable signals for NBA, pLTV, and demand modeling.

Collaborating with the Growth Analytics team, Data Scientists, and Analysts, you will ensure high-fidelity data, clean experiment logging, and seamless integration with MarTech tools to drive