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Staff Data Engineer, Data Platform

San Francisco💼 Full-time💰 $182,000–$182,000🗓 2026-06-15 → 2026-07-31

Core

Building resilient, scalable data platforms and pipelines to collect and analyze large-scale datasets for product, engineering, data science, marketing, and finance teams.

Role type

Staff Data Engineer (Data Platform)

Builds

Modern, highly scalable data platform, workflow orchestration tooling, and data platform infrastructure.

Domain

Cloud data engineering, big data processing, data security

Deliverable

production ML models | infrastructure

Required skills

Software engineering, ETL frameworks, data pipeline orchestration (Airflow/Prefect/Dagster), cloud platforms (AWS/GCP/Azure), infrastructure as code (Terraform), container orchestration (Kubernetes), data security architectures, big data processing (Spark)

Preferred skills

Mentoring junior engineers

Technologies

Airflow, Prefect, Dagster, AWS, GCP, Azure, Terraform, Kubernetes, Spark

Responsibilities

Collaborate on data engineering roadmap, design and implement scalable data platform, define canonical data models, implement workflow orchestration tooling, build and improve data platform tools, mentor junior engineers, design and enforce data security architectures

Seniority

Staff, hands-on IC with mentorship

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