Senior Data Engineer

Senior Data EngineerWe'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. By enabling accessible insights—from no-show trends to client engagement—you'll give practitioners the tools to make smarter, faster decisions about how they manage care.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.ResponsibilitiesPartner 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 platformsLead technical vision and architecture with holistic point of view on both short-term and long-term horizonsWork with analytics to create company wide alignment through standardized metrics across the companyWork with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metricsEnable external use cases like customer-facing dashboard, self-serve analytics, and next best action in productManage the complete data stack from ingestion through data consumptionBuild tools to increase transparency in reporting company wide business outcomesWork with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWSHelp define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practiceDesired Skills & ExperienceEducation & Experience BS/MS in Engineering, Computer Science, Mathematics, or related field7+ years in Data or Analytics EngineeringStrong problem-solving and communication skills; comfortable in fast-paced, cross-functional environmentsData 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 transformationsExperience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, KafkaFamiliar with ELT, schema-on-read, DAGs, and performance optimizationCloud & Infrastructure Experience with AWS (S3, RDS, Redshift, etc.)Familiar with Terraform, Docker, and containerized workflows (bonus)Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)Analytics & Enablement Experience building and supporting semantic layers for self-serve analyticsProficient with BI tools like Looker, Tableau, or SisenseComfortable standardizing metrics and enabling trusted, consistent access to dataProgramming & Scripting Proficient in Python and Unix/Linux scriptingComfortable working with APIs (e.g., using curl)BenefitsPrivatized Medical, Dental & Vision CoverageSupplemental health and wellness benefit - Modern Health and VivawellWork From Home stipendFlexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid HolidaysChristmas Bonus (15-day aguinaldo)Monthly meal/grocery voucher via Si Vale cardCatered LunchA relocation bonus for candidates joining us from a different cityAnnual BonusTuition ReimbursementSaving FundsEmployee Resource Groups (ERGs)