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Staff Data Engineer, Data Platform

San Francisco, US💼 Full-time💰 $182,000–$182,000🗓 2026-09-25 → 2026-09-27

Core

Building resilient, scalable data platforms and pipelines to collect and analyze large-scale datasets for Product, Engineering, Data Science, Marketing, Customer Operations, and Finance teams.

Role type

Staff Data Engineer (Data Platform)

Builds

Modern, highly scalable and reliable data platform powering pipelines and workflow orchestration

Domain

Cloud data engineering, big data processing, data security

Deliverable

production ML models | product features | infrastructure

Required skills

Software engineering, ETL framework development, Data pipeline job orchestration (Airflow, Prefect, Dagster), Cloud platforms (AWS, GCP, Azure), Infrastructure as Code (Terraform), Kubernetes, Data security architectures

Preferred skills

Spark or other big data processing frameworks, AI integration in workflows

Responsibilities

Refine data engineering roadmap and drive execution, Design and implement scalable data platform, Define canonical data models across business domains, Implement and support workflow orchestration tooling, Build and improve data platform tools and infrastructure, Mentor and develop junior engineers, Design and enforce robust data security architectures

Seniority

Staff, hands-on IC with mentorship

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