Senior Data Engineer

New

KeeboCloud data infrastructure

Location: US - Remote; open to candidates living in the United States, Core hours align with US Eastern Time.Full-TimeSenior

SalaryThe base salary is $170,000 to $200,000 for US-based candidates, plus equity.

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Job Details

Have 5+ years of data engineering or software engineering experience.
Have experience at an early-stage startup from Seed through Series B.
Have deep experience building and scaling production batch and streaming data pipelines.
Have experience with orchestration tools such as Dagster, Airflow, or Temporal.
Have hands-on experience deploying, monitoring, and retraining machine learning models in production.
Have strong data modeling and architecture skills and a track record of maintaining data quality as volume grows.
Have deep experience with AI coding agents and examples of scaling their use across a team.
Be able to identify AI output that is wrong, incomplete, or risky, especially when it involves customer data.
Have expertise in SQL and Python.
Have experience with cloud platforms, workflow orchestration, containers, and automated deploy pipelines.
Communicate and collaborate clearly, especially in writing.

Design and build reliable data pipelines that process large volumes of customer warehouse data.
Build and run machine learning operations infrastructure for feature pipelines, training jobs, deployment, and monitoring.
Own data quality and data modeling for models and customer-facing features.
Use AI coding tools by writing clear specifications and context, running agents on parallel workstreams, and critically reviewing their output.
Build shared AI workflows, guardrails, and review standards.
Evaluate new tools and models and share useful ones with the team.
Write architecture documents explaining design choices and tradeoffs.
Understand customer needs and decide what is worth building.
Mentor engineers, including on effective use of AI coding tools.

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