Senior Data Engineer (Google Cloud, AI/ML, and Generative AI)

torentify • United State

Remote

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AI Summary

Design, build, and optimize enterprise-grade data pipelines and AI infrastructure on Google Cloud Platform (GCP). Focus on BigQuery analytics, agent observability, and modernizing legacy pipelines with AI-driven automation while ensuring data governance, security, and cost governance. Collaborate with cross-functional teams to implement scalable solutions for AI agents and LLM grounding.

Key Highlights

Design and maintain scalable batch and streaming data pipelines on GCP using BigQuery, Dataflow, Dataproc, and Pub/Sub

Develop AI/ML data integrations and observability frameworks for agent telemetry, latency, and error tracking

Enforce data governance, security, and cost governance with Dataplex, IAM, and FinOps best practices

Key Responsibilities

Design, build, and maintain scalable batch and streaming data pipelines on GCP using BigQuery, Dataflow, Dataproc, and Pub/Sub

Implement BigQuery analytics using raw, processed, and curated medallion architecture layers for agent interaction telemetry and error tracking

Develop data integrations between enterprise repositories, including BigQuery and external storage, for AI agents and LLM grounding

Configure agent observability integrations with BigQuery, Cloud Logging, and Cloud Monitoring to support operational dashboards and SLOs

Implement billing export views, cost allocation tagging, and chargeback-ready BigQuery datasets for AI agent workloads

Apply data governance, IAM, VPC Service Controls, and Sensitive Data Protection policies in coordination with security frameworks

Support replay validation jobs and model/version regression testing in BigQuery to verify model accuracy and compliance

Use AI-driven automation to modernize legacy data pipelines and maintain semantic layers across BigQuery and LookML

Collaborate with cloud architects, principal managers, and client technical leads during implementation and knowledge transfer

Prepare technical documentation, runbooks, and developer playbooks for client engineering teams

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Technical Skills Required

Google Cloud Platform (GCP) BigQuery Python

Benefits & Perks

14 paid holidays and 4 weeks of paid time off

Medical, dental, and vision insurance with 100% company-paid premiums

Safe Harbor 401(k) plan with 100% match on first 3% of contributions and 50% on next 2%

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Nice to Have

Experience with BigQuery ML and Vertex AI integration

Proficiency in Terraform for provisioning data pipelines and IAM roles

Google Certified Professional Data Engineer or Machine Learning Engineer certification

Job Description

About the Company

Promevo, LLC was founded in 2001 in Cincinnati, Ohio, by specialists in systems integration, application development, and systems administration. The company is a Google Premier Partner for Google Workspace, Google Cloud, and Google Chrome, helping businesses improve their technology infrastructure and digital operations.

Promevo provides technical support, implementation, consulting, migrations, custom application development, and deployment services. Its SaaS platform, gPanel, gives administrators a centralized interface for managing users, data, settings, and security. The company also supports organizations adopting AI and modern cloud technologies.

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