Senior Data/ML Engineer — Databricks Forecasting Platform | Remote

Hiring company: Toptal Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for a Senior Data/ML Engineer to refactor, operationalize, and improve an existing time series forecasting platform that's already live and driving real business value. This is not a greenfield build — the focus is modernizing a Databricks-based forecasting system that's been maintained primarily by a single developer for years. You'll reduce technical debt, strengthen testing and observability, and raise the engineering bar on a system the business already depends on. If you'd rather bring discipline and maturity to an existing production system than start from a blank slate, this is built for that. What You'll Do • Review the current forecasting platform architecture and identify areas for improvement • Refactor existing Databricks, Python, and PySpark implementations • Move business logic out of Databricks notebooks and into reusable Python modules or packages • Improve separation of concerns between orchestration and core business logic • Establish stronger engineering standards and help define what "good" looks like for the platform • Implement or improve automated testing practices and validation mechanisms for forecasting workflows • Build or improve monitoring and observability, increasing visibility into how predictions are generated • Help monitor model behavior and operational health over time • Improve reliability of scheduled training workflows, reducing manual intervention on failure • Improve failure handling, retries, and overall workflow resilience • Maintain and extend existing forecasting capabilities as needed What You Bring • Strong professional experience with Databricks, including workspaces, notebooks, scheduled workflows, and CI/CD processes • Strong Python engineering experience, including designing reusable modules or packages • Strong PySpark experience with production data pipelines or distributed data processing • Experience refactoring production code and improving maintainability • Familiarity with time series forecasting concepts and workflows • Ability to understand and work effectively within an existing, unfamiliar codebase • Experience improving software quality, testing strategy, and engineering standards • Experience implementing automated testing practices • Experience improving monitoring, observability, or operational visibility for production systems • Strong judgment around technical debt, refactoring priorities, and maintainable architecture • Ability to work with existing systems rather than only building from scratch Why This Role • Real production impact: Improve a system the business already relies on, not a proof-of-concept • Engineering maturity focus: Bring testing, observability, and maintainability to a platform that's outgrown its current state • Meaningful ownership: Help define engineering standards for the forecasting platform going forward • Flexible location: Preference for Toronto or St. Louis, but open to remote consultants globally with North American working-hours overlap How to Apply Ready to bring engineering rigor to a production forecasting platform? Apply through Toptal here: https://www.toptal.com/talent/apply To apply: https://weworkremotely.com/remote-jobs/toptal-senior-data-ml-engineer-databricks-forecasting-platform-remote