Senior Data Engineer — Cloud ML & MLOps Platform Lead

Jobot; Austin (TX); On-site; USD 155,000 - 175,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Long-term stability

Job summary

A large, global organization is seeking a highly motivated Senior Data Engineer to lead the architecture and deployment of next-generation data-driven platforms. This role bridges Data Science and Production Engineering, ensuring reliable and scalable deployments in the cloud. Key responsibilities include designing data pipelines, developing APIs, and managing infrastructure using GKE. Candidates must have 5+ years of experience in Data Engineering, strong Python and SQL skills, and expertise in GCP technologies. Competitive salary offered.

Qualifications

• 5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering.
• Deep expertise in Python for application development, data processing, and automation.
• Proficient in SQL with experience in relational and analytical data design.

Responsibilities

• Design, build, and maintain robust data ingestion and transformation pipelines.
• Write clean, efficient Python code for automation and infrastructure tooling.
• Design, develop, and deploy high-performance Python APIs.

Skills

Python

SQL

Data orchestration tools (Dagster, Airflow)

Docker

Kubernetes

Tools

GKE

BigQuery

Flask

FastAPI

Job description

A large, global organization is seeking a highly motivated Senior Data Engineer to lead the architecture and deployment of next-generation data-driven platforms. This role bridges Data Science and Production Engineering, ensuring reliable and scalable deployments in the cloud. Key responsibilities include designing data pipelines, developing APIs, and managing infrastructure using GKE. Candidates must have 5+ years of experience in Data Engineering, strong Python and SQL skills, and expertise in GCP technologies. Competitive salary offered.