Remote Forward-Deployed Data Platform Engineer

Trida AI; Seattle (WA); Remote; USD 124,000 - 179,000; Part time

Job summary

Trida AI deploys Forward Deployed Engineers inside enterprise customer teams to design, build, and ship production AI systems — agents, retrieval, and data integrations — and to leave behind systems the customer can operate themselves. Travel to customer sites up to 40% may be required depending on the engagement.

What You'll Do includes building data connectors, ingestion and ETL pipelines, and data integrations between warehouses, APIs and AI platforms; designing data models for usable data by

Qualifications

• Deep data-engineering experience: pipelines, warehousing, APIs; Python and SQL, Spark/PySpark a plus.
• Experience with cloud data platforms on AWS, Azure or GCP.
• Delivered in customer data environments under real security and access constraints.

Responsibilities

• Build data connectors, ingestion and ETL pipelines, and integrations between customer warehouses, internal APIs and AI platforms.
• Design data models and representations that make enterprise data usable by agents and retrieval systems.
• Own reliability, provenance, lineage and access controls on data flows.
• Work inside customer data environments, including messy, legacy and partially documented systems.

Skills

Python

SQL

Spark/PySpark

Job description

Trida AI deploys Forward Deployed Engineers inside enterprise customer teams to design, build, and ship production AI systems — agents, retrieval, and data integrations — and to leave behind systems the customer can operate themselves. Travel to customer sites up to 40% may be required depending on the engagement.

What You'll Do includes building data connectors, ingestion and ETL pipelines, and data integrations between warehouses, APIs and AI platforms; designing data models for usable data by