Remote Data Engineer: AI Data Pipelines on GCP

Promevo; Cincinnati (OH); Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Bonus plan

Paid holidays

Medical Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Life Insurance & AD&D

401k with company match

Home office setup allowance

PTO 4 weeks

Training opportunities

Job summary

Promevo LLC is seeking a Data Engineer to design, build, and optimize enterprise data pipelines across client environments on Google Cloud. You will support AI-driven data engineering initiatives, including telemetry, agent analytics, and medallion data architectures.

Join Promevo to work on modern data platforms, responsible governance, and trusted data engineering practices, with strong compensation, benefits, and remote work options.

Qualifications

• Bachelor's degree or higher in a technical field.
• 4+ years of professional Data Engineer experience.
• Strong experience with Google Cloud Platform services.

Responsibilities

• Design, construct, and maintain scalable batch and streaming data pipelines on GCP (BigQuery, Dataflow, Dataproc).
• Build Agent Analytics telemetry and data models for AI workloads.
• Develop reusable data integration patterns and orchestration workflows (Airflow/Cloud Composer).

Skills

Data Engineering

GCP

SQL

Python

Looker Studio

Terraform

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Cloud Composer

Looker

Terraform

Job description

Promevo LLC is seeking a Data Engineer to design, build, and optimize enterprise data pipelines across client environments on Google Cloud. You will support AI-driven data engineering initiatives, including telemetry, agent analytics, and medallion data architectures.

Join Promevo to work on modern data platforms, responsible governance, and trusted data engineering practices, with strong compensation, benefits, and remote work options.