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We are seeking a Fullstack Data Engineer who can operate at the intersection of data engineering, fullstack development, and testing/automation. This role will focus on building internal automation tooling, validating data and ML workflows, and developing lightweight web interfaces or dashboards that help teams interact with data and model outputs more effectively. The ideal candidate is a versatile engineer who can seamlessly switch between CLI tooling, pipeline testing, backend glue code, and rapid visualization apps.
Job Responsibility
Develop CLI tools, scripts, and utilities to automate repetitive workflows across the data platform
Automate Databricks workflows, job deployments, environment provisioning, and MLOps operations using Databricks APIs, Terraform, Databricks SDK
Design and implement integration tests, end-to-end pipeline tests, validation frameworks for Databricks ETL/ELT pipelines and ML inference workflows
Improve reliability, observability, and overall engineering productivity across the data & ML team
Build quick internal applications using React, Streamlit, or similar frameworks to visualize data flows, provide model inference demos, enable operational or configuration controls
Develop internal productivity and monitoring dashboards
Apply best practices around spec-driven development, coding agents and automation patterns, CI/CD workflows for data/ML systems
Requirements
Experience with CLI tools, scripts, and utilities for automating data platform workflows
Experience with Databricks APIs, Terraform, Databricks SDK
Experience designing integration tests, end-to-end pipeline tests, validation frameworks for Databricks ETL/ELT pipelines and ML inference workflows
Experience building internal applications using React, Streamlit, or similar frameworks
Experience with spec-driven development, coding agents and automation patterns, CI/CD workflows for data/ML systems
Nice to have
Experience creating dashboards and visualizations using Databricks AI/BI or any modern BI tool (Power BI, Tableau, Looker, etc.)