Engineer ML-ready datasets and manage Feature Stores to support the Data Science team
Operationalize ML workflows, integrating with services like Snowflake Cortex, Databricks AI, or AWS Bedrock
Mentor junior engineers in coding best practices, SQL optimization, and Python development
Collaborate closely with Product and ML teams to translate architectural designs into functional code
Build scalable, reliable, and secure data systems that support real business outcomes
Operate with urgency, ownership, and strong engineering discipline
Think beyond individual pipelines to improve platform quality, observability, and long-term maintainability
Help Dynatron turn trusted data into smarter products, better decisions, and stronger customer outcomes and follow through reliably
Partner effectively across technical and business teams
Opportunity to build and scale the data foundation of a growing, AI-enabled SaaS company
High-impact role supporting real-time analytics, machine learning, enterprise reporting, and product innovation
Close partnership across Data, Product, Engineering, Analytics, and business leadership
Values-driven culture built on accountability, urgency, and delivering measurable results
Remote-first environment offering flexibility, autonomy, and trust