Mid-Level Data Engineer Airflow Python

Build production-grade data workflows at Lyft using Airflow orchestration and Python backend programming. Support scalable systems in a collaborative environment.Lyft seeks experienced software engineers from varied disciplines for this mid-level data engineering work. You will apply Python, SQL, distributed systems, microservices, and database design knowledge. The work supports analytics, targeting, measurement, real-time ad serving, campaign management, and reporting use cases.Key Responsibilities:
Schedule and monitor reliable data workflows with AirflowDesign scalable data models for analytics and measurementWrite clean, maintainable, testable backend codeDevelop systems supporting real-time ad servingMaintain systems for campaign management and reportingRequirements:
Experience with orchestration frameworks such as AirflowProficiency in Python or another backend languageUnderstanding of distributed systems and microservicesKnowledge of SQL and NoSQL database designFamiliarity with CI/CD, observability, and code reviewsApply Airflow, Python, SQL, and scalable data modeling skills to Lyft’s real-time advertising systems.
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