Senior Data Engineer

Along with submitting your application, we’d love to meet you in person Securing Trust in Clinical AI Agents . SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine. 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. 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. Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work. At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. Our culture is what drives us to do better for our teammates and customers. We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice. Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product Manage the complete data stack from ingestion through data consumption Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice BS/MS in Engineering, Computer Science, Mathematics, or related field ~7+ years in Data or Analytics Engineering ~ Data Engineering & Pipelines Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling) Expert in SQL and data modeling (relational, dimensional, semantic) Proven experience in data warehouse design, implementation, and maintenance (Snowflake) Hands-on with DBT for modular, testable transformations Familiar with ELT, schema-on-read, DAGs, and performance optimization Cloud & Infrastructure Experience with AWS (S3, RDS, Redshift, etc.) Familiar with Terraform, Docker, and containerized workflows (bonus) Skilled in handling structured, semi-structured (e.g., Experience building and supporting semantic layers for self-serve analytics Proficient with BI tools like Looker, Tableau, or Sisense Comfortable standardizing metrics and enabling trusted, consistent access to data Programming & Scripting Proficient in Python and Unix/Linux scripting Bonus Points AWS DevOps
- Terraform, Kubernetes, Docker Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries Real-time ETL
- Kafka streaming, AWS Kinesis Privatized Medical, Dental & Vision Coverage Work From Home stipend Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays Christmas Bonus ( 15-day aguinaldo ) A relocation bonus for candidates joining us from a different city Annual Bonus Tuition Reimbursement Please note that when you submit your resume or application materials to us for employment purposes in Mexico, your personal data will be processed in accordance with the Practicease S.
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C., Purposes: We collect your contact, academic, professional, and evalu