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Senior Data EngineerComcage LLC DBA Oodle • San Francisco, California, United States
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Senior Data Engineer

Comcage LLC DBA Oodle
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Postuler Maintenant

À propos

About the Opportunity Daybreak AI is building next-generation supply chain intelligence for the world's most complex manufacturing and logistics operations. Our Data Engineers are the backbone of that mission — designing, building, and operating the data infrastructure that powers our AI products.
As a Senior Data Engineer on our India engineering team, you will own the design and delivery of scalable, reliable data pipelines that process real-world supply chain data at scale. You will work closely with Data Science, DevOps, and Customer Success teams to deploy and evolve our core platform — and your hands‑on experience with production data will directly shape product decisions.
This is a high‑ownership role. You will be expected to solve ambiguous problems, mentor junior engineers, and contribute to the technical direction of the team.
What You'll Do
Design, build, and maintain production‑grade data pipelines handling large‑scale supply chain datasets
Own end‑to‑end data modeling, warehousing architecture, and pipeline reliability across multiple customer environments
Collaborate with Data Science, DevOps, Infrastructure, and Customer Success teams to deliver and iterate on product deployments
Debug complex pipeline failures and performance bottlenecks across distributed systems
Drive improvements to engineering practices, tooling, and deployment automation
Mentor and support junior data engineers, fostering technical growth within the team
Contribute to Daybreak's culture of continuous learning and operational excellence
Must Have
5+ years of experience in data engineering, with demonstrated ownership of production pipelines
Strong proficiency in Python for data engineering workloads
Advanced SQL skills across multiple databases (PostgreSQL and others)
Hands‑on experience with pipeline orchestration tools such as Apache Airflow or Dagster
Experience working with distributed data systems — Spark, Hive, or HDFS
Solid understanding of containers and Docker in a development/deployment context
Strong debugging skills and systematic approach to resolving data quality issues
Bachelor's or advanced degree in Computer Science, Engineering, or a related field
Ability to thrive in a fast‑paced, evolving environment and pick up new technologies quickly
Helpful to have
Cloud experience, preferably AWS (S3, EMR, or equivalent services)
Experience processing large‑scale time series data
Familiarity with Kubernetes for containerized workloads
Understanding of ML model lifecycle and MLOps pipelines
Experience working in interdisciplinary teams across engineering and data science
About Daybreak AI
Daybreak AI is an AI‑first supply chain technology company backed by TPG Growth and Dell Technologies Capital. Our mission is to eliminate waste in the world's most complex supply chains through intelligent, enterprise‑grade AI software. We are a diverse, intellectually curious team that values collaboration, first‑principles thinking, and real‑world impact.
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  • San Francisco, California, United States

Compétences linguistiques

  • English
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