Agentic Data Engineer

Quick Facts

• Role: Agentic Data Engineer

• Focus: Data foundations for context layers and agentic workflows

Description

Own end-to-end delivery of data pipelines and datasets that power agentic workflows and context layers across AWS ProServe, Frontier AI, and sales/delivery services. Build, test, deploy, and operate ETL/ELT processes and scalable data models that make structured and unstructured data queryable for AI agents. Partner with business and engineering teams to ship production datasets while ensuring correctness, data quality, and end-to-end data lineage.

Role Description / Responsibilities

• Design, build, test, deploy, and operate data pipelines

• Build and optimize ETL/ELT jobs producing foundational datasets for products and agentic workflows

• Model structured and unstructured data from external insights, internal data, and sales/delivery insights

• Design data structures, schemas, and contracts for downstream services and agents

• Build data-quality tooling (validation, reconciliation, anomaly detection, monitoring)

• Maintain operational excellence via data tests, monitoring, and runbooks

• Document data models, pipeline design notes, and runbooks

Requirements

• 3+ years of data engineering experience

• 1+ years developing and operating large-scale BI data structures using ETL/ELT

• 1+ years developing and operating large-scale BI data structures using data modeling

• Bachelor’s degree (or foreign equivalent) in a related technical field

• Experience writing and optimizing SQL queries with large-scale, complex datasets

Benefits

• Health insurance (medical, dental, vision, prescription)

• Basic Life & AD&D and option for Supplemental life plans

• EAP and mental health support

• Medical Advice Line

• Flexible Spending Accounts

• Adoption and surrogacy reimbursement

• 401(k) matching

• Paid time off

• Parental leave

• Sign-on payments and RSUs