Senior Analytics Engineer, Marketing Sciences

About this role

<p><span style="color: #123333;"><strong>About Us</strong></span></p> <p><span style="color: #000000;">At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.&nbsp;</span></p> <p>&nbsp;</p> <p><span style="color: #000000;">More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.&nbsp;</span></p> <p>&nbsp;</p> <p><span style="color: #000000;">Award-winning and people-first, SimplePractice is shaping the future of health tech. In 2026, we were recognized by BuiltIn as a Best Remote Company to Work For, Software Guru's Best Places to Code, Becker Healthcare Telehealth Companies to Know, and we won a MedTech Breakthrough Award for Best Practice Management Solution Provider.</span></p> <p><br><span style="color: #123333;"><strong>The Role</strong></span></p> <p><span style="color: #000000;">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.</span></p> <p>&nbsp;</p> <p><span style="color: #000000;">You will bridge the gap between core data engineering and high-impact growth initiatives. While our Data Science team focuses on R&amp;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.</span></p> <p><br><span style="color: #123333;"><strong>Responsibilities</strong></span></p> <ul> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Growth Data Pipeline Architecture:</strong> Build and maintain scalable systems to ingest data from a wide range of sources, specifically focusing on marketing platforms (Google Ads, Meta), CRM data, and event streams.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Predictive Model Enablement:</strong> Partner with the Growth Analytics team to move predictive models (like pLTV and Churn risk) from research into production-ready data environments.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Attribution &amp; Demand Modeling:</strong> Architect the technical pipelines for Demand Models and LTV:CAC reporting, ensuring company-wide alignment through standardized metrics.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Experimental Infrastructure:</strong> Support the design and execution of A/B tests and causal inference models by ensuring clean, reliable experiment logging and cohort assignment.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>MarTech Integration:</strong> Work closely with the MarTech team to optimize our stack and ensure "Source of Truth" consistency across platforms like Iterable, Hubspot, Gong, Segment and more</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Reverse ETL &amp; Activation:</strong> Enable "Next Best Action" use cases by syncing data warehouse insights back into product and marketing tools for real-time customer interventions.</span></li> </ul> <p><br><span style="color: #123333;"><strong>Desired Skills &amp; Experience</strong></span></p> <ul> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Modern Data Stack:</strong> Expert proficiency in Snowflake and DBT for creating modular, testable transformations that support complex growth analytics.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Programming &amp; Scripting:</strong> Proficient in Python and SQL, with an "early adopter" mindset toward leveraging modern coding environments and automation to accelerate output.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Marketing Data Savvy:</strong> Proven experience handling semi-structured API data (JSON) from marketing sources and managing the complete lifecycle from ingestion to consumption.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Segment:</strong> Expertise in designing, implementing, and managing Segment event pipelines.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Strategic Architecture:</strong> Ability to lead a technical vision with a holistic view of how data engineering impacts business-critical metrics like LTV, CAC, and ROAS.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>Collaboration:</strong> Experience working in an Agile (SCRUM/Kanban) environment, partnering closely with Analysts, Data Scientists, and Marketing Stakeholders.</span></li> </ul> <p><br><span style="color: #123333;"><strong>Bonus Points</strong></span></p> <ul> <li style="color: #000000 !important;"><span style="color: #000000;">Experience with Reverse ETL tools (e.g., Census, Hightouch).</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Familiarity with Real-time ETL (Kafka streaming, AWS Kinesis).</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">AWS DevOps experience (Terraform, Kubernetes, Docker)</span></li> </ul> <p><br><span style="color: #123333;"><strong>Benefits</strong></span></p> <p><span style="color: #123333;">We offer a competitive benefits program including:</span></p> <