Senior Data Engineer — Remote Data Pipelines (US)

OpenKrill; United States; Hybrid; USD 120,000 - 170,000; Full time

Job summary

Coderio based in the US is seeking a Senior Data Engineer to design and maintain robust data pipelines and scalable infrastructure across our cloud platform. You will enable data products by sourcing data through batch and stream processing and collaborating with data scientists.

Join a remote-first team that values autonomy, clear communication, and technical excellence. You will contribute to production-grade data workflows and governance while shaping our data architectures and best practices.

Qualifications

• 5+ years of experience in Data Engineering.
• Mastery of Python and advanced SQL.
• Experience with AWS or GCP and PySpark.
• Experience with UNIX environments, Docker, Git, and CI/CD.
• Strong English communication skills.

Responsibilities

• Design, build, and deploy scalable data pipelines for batch and streaming data.
• Optimize pipeline performance and monitor data quality.
• Collaborate with Data Scientists and ML Engineers on ML workflows.
• Ensure governance and data quality across data lakes and warehouses.
• Document architectures and standards.

Skills

Python

SQL (advanced)

PySpark

Data Engineering

English Communication

Tools

Docker

Terraform

CI/CD

Git

UNIX/Linux

Job description

Coderio based in the US is seeking a Senior Data Engineer to design and maintain robust data pipelines and scalable infrastructure across our cloud platform. You will enable data products by sourcing data through batch and stream processing and collaborating with data scientists.

Join a remote-first team that values autonomy, clear communication, and technical excellence. You will contribute to production-grade data workflows and governance while shaping our data architectures and best practices.