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JOB DESCRIPTIONS
Responsibilities
Build the data platforms and pipelines that make AI systems possible, reliable, current, and reachable.
Design data architecture for reporting, automation, and agentic AI.
Implement operational data pipelines with observability and quality checks built in.
Partner with AI engineers to make the right data available, safely.
Minimum Qualifications
3+ years in data engineering, with strong SQL and Python.
Experience with modern warehouses/lakes (e.g. Snowflake, Databricks, BigQuery).
Experience building and orchestrating production pipelines.
A pragmatic, reliability-first mindset.
Preferred Qualifications
Experience with streaming and real-time data.
Familiarity with cloud platforms (AWS, Azure, or GCP).
Exposure to data governance and access control.
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APPLICATION