Senior Data Engineer
Core
Design and scale data pipelines and ML infrastructure for an AI platform that optimizes cloud data warehouses.
Role type
Senior Data Engineer (ML Ops focus)
Builds
Data pipelines, ML operations infrastructure (training, deployment, monitoring), and shared AI workflows.
Domain
Cloud data platforms (Snowflake/Databricks) and Machine Learning Operations
Deliverable
production ML models
Required skills
Data pipeline orchestration (Dagster, Airflow, Temporal), ML Ops (deployment, monitoring, retraining), SQL, Python, Cloud platforms, Containers, Automated deploy pipelines, Data modeling, Architecture design, AI coding agents usage, Critical review of AI output
Preferred skills
Snowflake or Databricks, Time-series forecasting, Regression, Anomaly detection, Reinforcement learning, AI agents/Model Context Protocol, Query optimization, Java/Go/JavaScript
Responsibilities
Design and build reliable data pipelines for large volumes; Build and run ML ops infrastructure; Own data quality and modeling; Use AI coding tools to write specs and review output; Build shared AI workflows and guardrails; Evaluate new tools and models; Write architecture docs; Mentor engineers on AI tools
Seniority
Senior, hands-on IC
