Senior AI-Ready Data Engineer (Remote-Flexible)

Your AI Department; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Your AI Department in the San Francisco Bay Area is seeking a Senior Data Engineer to architect scalable data platforms, design production pipelines, and enable AI readiness across complex data landscapes.

You will stitch ERP, CRM, spreadsheets, and inbox data, connect disparate systems, and build real-time data foundations that empower autonomous workflows and AI agents to reason with trustworthy data.

Qualifications

• 6+ years of experience in data engineering across enterprise environments.
• Proficiency in SQL, Python, and at least one modern data orchestration framework (Airflow, Dagster, Prefect).
• Deep experience with cloud data platforms (BigQuery, Snowflake, Redshift) and cloud infrastructure (GCP or AWS).
• Hands-on experience integrating data from ERP/SAP, Salesforce, NetSuite, and other systems.

Responsibilities

• Lead legibility and eligibility audits to assess AI readiness of client data.
• Stitch fragmented data environments connecting ERP, CRM, spreadsheets, and inbox data.
• Design and deploy production data pipelines (batch and streaming) across cloud environments.
• Eliminate PDF data bottlenecks by tracing data to source systems and building direct connections.
• Collaborate with AI Solutions Engineers to support agent-level reasoning on the data layer.

Skills

SQL

Python

Data orchestration (Airflow)

Data orchestration (Dagster)

Data orchestration (Prefect)

Real-time data pipelines

Enterprise data integration

Communication to executives

Tools

Airflow

Dagster

Prefect

BigQuery

Snowflake

Redshift

GCP

AWS

Salesforce

NetSuite

Job description

Your AI Department in the San Francisco Bay Area is seeking a Senior Data Engineer to architect scalable data platforms, design production pipelines, and enable AI readiness across complex data landscapes.

You will stitch ERP, CRM, spreadsheets, and inbox data, connect disparate systems, and build real-time data foundations that empower autonomous workflows and AI agents to reason with trustworthy data.