Senior Data Engineer – Remote US | Cloud Pipelines

Coderio; Miami (FL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Coderio is hiring a Senior Data Engineer in the US to design and maintain scalable data pipelines across cloud platforms. You will source data via batch and stream processing, optimize data architectures, and ensure data quality as part of cross-functional teams with Data Scientists and ML Engineers.

You will work in a remote-friendly environment with a hybrid/US-based arrangement, contributing to resilient data workflows and production-grade data infrastructure.

Qualifications

• 5+ years of experience in Data Engineering.
• Strong Python and SQL with performance tuning.
• Hands-on AWS or GCP and data warehousing experience.
• Unix/Linux, Docker, Git, and CI/CD proficiency.
• Fluent English communication and collaboration with teams.

Responsibilities

• Design, build, and deploy scalable batch/stream pipelines.
• Develop ETL/ELT processes for Data Lakes/Warehouses.
• Collaborate with Data Scientists and ML Engineers on pipelines.
• Monitor performance, optimize queries, and manage resources.
• Ensure data quality, governance, and CI/CD standards.

Skills

Python

PySpark

SQL

Data modeling

Data warehousing

ETL/ELT

MLOps

CI/CD

Docker

Unix/Linux

Git

English communication

Tools

AWS

GCP

BigQuery

Databricks

Airflow/Orchestration

Docker

Terraform

Job description

Coderio is hiring a Senior Data Engineer in the US to design and maintain scalable data pipelines across cloud platforms. You will source data via batch and stream processing, optimize data architectures, and ensure data quality as part of cross-functional teams with Data Scientists and ML Engineers.

You will work in a remote-friendly environment with a hybrid/US-based arrangement, contributing to resilient data workflows and production-grade data infrastructure.