Senior Data Engineer — Remote US | Scalable Pipelines

Coderio; Los Angeles (CA); Híbrido; USD 140.000 - 180.000; Jornada completa

Descripción de la vacante

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. In this role, you will enable Data Products throughout their lifecycle—sourcing data via batch and stream processing, optimizing data architecture, and ensuring data quality.

You will collaborate with Data Scientists and ML Engineers to automate workflows and deploy resilient data pipelines in production.

Formación

• 5+ years in data engineering designing and running large-scale data systems.
• Proficient in Python and advanced SQL for performance tuning.
• Hands-on with AWS or GCP data tooling and modern data processing.
• Experience collaborating with data scientists and ML engineers on data pipelines and models.

Responsabilidades

• Design, build, and deploy scalable data pipelines for batch and streaming data into Data Lakes and Data Warehouses.
• ETL/ELT processing: optimize pipelines using Python, PySpark, and advanced SQL.
• Collaborate with ML & Data Science teams to build resilient pipelines and automate MLOps workflows.
• Monitor, troubleshoot, and optimize pipeline performance and storage resources across cloud platforms.
• Implement data quality frameworks and governance across raw and curated datasets.
• Apply DevOps best practices, maintain CI/CD pipelines, and document architectures.

Conocimientos

Python

PySpark

SQL

Data Modeling

Data Warehousing

ETL/ELT

Batch Processing

Streaming

MLOps

Herramientas

Docker

Terraform

Git

CI/CD

UNIX/Linux

AWS

GCP

Descripción del empleo

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. In this role, you will enable Data Products throughout their lifecycle—sourcing data via batch and stream processing, optimizing data architecture, and ensuring data quality.

You will collaborate with Data Scientists and ML Engineers to automate workflows and deploy resilient data pipelines in production.