AI Platform Data Engineer - AI-Driven Data Pipelines

Socket.dev; Hawthorne (CA); On-site; USD 101,000 - 160,000; Full time

Job summary

Ring's Analytics & Science team seeks a data engineer to build and maintain scalable data pipelines, curated AI-ready datasets, and AI-native platforms using an AI-first approach. You will partner with business stakeholders and data science teams to deliver well-modeled, easily discoverable data.

In this role you will lead AI-assisted stakeholder sessions, design curated datasets, and implement governance for data classification, PII, and lineage.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL and one or more query languages.
• Experience with scripting languages such as Python.

Responsibilities

• Build and maintain data pipelines with AI-assisted development.
• Create curated datasets for AI/ML consumption.
• Develop AI-native self-service data platforms and governance.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

Python

Big data

Tools

Hadoop

Hive

Spark

EMR

Informatica

SSIS

Job description

Ring's Analytics & Science team seeks a data engineer to build and maintain scalable data pipelines, curated AI-ready datasets, and AI-native platforms using an AI-first approach. You will partner with business stakeholders and data science teams to deliver well-modeled, easily discoverable data.

In this role you will lead AI-assisted stakeholder sessions, design curated datasets, and implement governance for data classification, PII, and lineage.