Senior Data Platform Engineer: Scale AI & Data Pipelines

Rippling; San Francisco (CA); On-site; USD 168,000 - 280,000; Full time

Job summary

Rippling, based in San Francisco, is hiring a Senior Software Engineer to shape data and ML infrastructure, workflow orchestration, and data movement across warehouses and lakehouses. You will own end-to-end platform capabilities and collaborate with product, engineering, and data science teams to deliver reliable, scalable systems for analytics and AI workloads.

You will design and operate infrastructure for cost-effective data pipelines, ensure data security and observability, and lead

Qualifications

• 5+ years of software engineering experience building backend systems, distributed systems, infrastructure, or data platforms.
• A proven record of owning and delivering complex technical projects.
• Strong hands-on coding skills in a backend or systems language.
• Experience building integrations and data-access systems that move or expose data across platforms to downstream users and applications.

Responsibilities

• Design, build, and operate infrastructure for reliable, scalable, and cost-effective data, analytics, ML, and AI workflows.
• Build reusable workflow and integration capabilities that let teams independently move, process, and use data across platforms.
• Build data access and query capabilities that let analytics and agent workloads use data across warehouses, lakehouses, and operational systems.
• Lead projects from technical design through production operation, including incident response and long-term improvements.

Skills

Backend coding

Distributed systems

Data platforms

Cloud infra

Kubernetes

Tools

Snowflake

Databricks

StarRocks

Iceberg

Delta Lake

Spark

Glue

EMR

Dagster

Airflow

Prefect

AWS

Terraform

Kubernetes

MLflow

Job description

Rippling, based in San Francisco, is hiring a Senior Software Engineer to shape data and ML infrastructure, workflow orchestration, and data movement across warehouses and lakehouses. You will own end-to-end platform capabilities and collaborate with product, engineering, and data science teams to deliver reliable, scalable systems for analytics and AI workloads.

You will design and operate infrastructure for cost-effective data pipelines, ensure data security and observability, and lead