Senior Data Engineer - Remote/Hybrid Cloud Pipelines

Coderio; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Coderio in the United States is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines and scalable infrastructure across our cloud platform. You will enable Data Products across their lifecycle—sourcing data via batch and stream processing and ensuring data quality.

Collaborate with Data Scientists and ML Engineers to automate workflows, optimize architecture, and deploy resilient pipelines in production while adhering to MLOps and DevOps practices.

Qualifications

• 5+ years of data engineering experience.
• Python and SQL mastery with performance tuning.
• Hands-on with AWS or GCP and PySpark.
• Unix/Linux, Docker, Git, and CI/CD.
• Strong English communication.

Responsibilities

• Design and deploy scalable data pipelines for batch and streaming data.
• Collaborate with ML/Data Science teams to support ML workflows.
• Monitor, troubleshoot, and optimize pipeline performance and costs.
• Ensure data quality and governance across data lakes and data warehouses.
• Document architectures and maintain CI/CD pipelines.

Skills

Data pipelines

Python

SQL

MLOps

English communication

Tools

AWS

GCP

Docker

Git

Terraform

Job description

Coderio in the United States is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines and scalable infrastructure across our cloud platform. You will enable Data Products across their lifecycle—sourcing data via batch and stream processing and ensuring data quality.

Collaborate with Data Scientists and ML Engineers to automate workflows, optimize architecture, and deploy resilient pipelines in production while adhering to MLOps and DevOps practices.