Senior Data/ML Engineer - Databricks Forecasting Platform | Remote - Remote-Stelle

Toptal sucht Senior Data/ML Engineer - Databricks Forecasting Platform | Remote: Senior-Niveau, das Unternehmen erwartet also, dass Sie die Entscheidungen selbst treffen. Die Stelle liegt im Bereich IT und Programmierung und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Die wichtigsten in der Anzeige genannten Werkzeuge sind: Machine Learning, Python. Der Lebenslauf sollte konkrete Beispiele genau dieser Fähigkeiten zeigen.

Das Unternehmen hat keine Zahl veröffentlicht, das klärt sich im Gespräch. Das Unternehmen verlangt eine Überschneidung der Arbeitszeiten mit dem Team, was einen vorab abgestimmten Plan braucht.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.

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