Senior Data Engineer (Remote/US) — Pipelines & ML Ops Lead

Coderio; Washington (District of Columbia); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Coderio is seeking a Senior Data Engineer in the United States (remote/hybrid) to design, build, and maintain scalable data pipelines across our cloud platform. You will enable data products, source data via batch and stream processing, and collaborate with Data Scientists to automate workflows and deploy resilient pipelines in production.

You will work with Python, PySpark, and SQL to optimize ETL/ELT processes, ensure data quality, and participate in MLOps practices, while contributing to a

Qualifications

• 5+ years of experience in Data Engineering.
• Mastery of Python and advanced SQL.
• Hands-on experience with AWS or GCP and PySpark.
• Proficiency with UNIX, Docker, Git, and CI/CD pipelines.

Responsibilities

• Design, build, and deploy scalable data pipelines for batch and streaming data ingestion into Data Lakes and Data Warehouses.
• Develop and optimize ETL/ELT pipelines using Python, PySpark, and SQL.
• Collaborate with Data Scientists and ML Engineers to build resilient pipelines and MLOps workflows.
• Monitor and optimize pipeline performance, costs, and storage across cloud platforms.
• Implement data quality frameworks and governance across datasets.
• Maintain CI/CD pipelines and document standards.

Skills

Python

SQL

PySpark

Data modeling

ETL/ELT

English communication

Tools

Docker

Git

CI/CD pipelines

Unix/Linux

Terraform

Job description

Coderio is seeking a Senior Data Engineer in the United States (remote/hybrid) to design, build, and maintain scalable data pipelines across our cloud platform. You will enable data products, source data via batch and stream processing, and collaborate with Data Scientists to automate workflows and deploy resilient pipelines in production.

You will work with Python, PySpark, and SQL to optimize ETL/ELT processes, ensure data quality, and participate in MLOps practices, while contributing to a