Remote Senior Data Engineer: Cloud Data Pipelines & Azure

Everforth ECS; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Everforth ECS is seeking a Senior Data Engineer to lead advanced data integration and cloud solutions from a remote work setup, with emphasis on scalable ETL, data quality, and interoperability in Azure environments.

You will collaborate with data scientists and cloud architects to enable predictive modeling and real-time dashboards while ensuring governance and reproducibility across workflows.

Qualifications

• 5+ years developing and deploying advanced data pipelines and ML models.
• Proficient in Python and Pandas for data processing.
• Strong SQL skills with data from relational databases.

Responsibilities

• Develop production-grade ETL workflows using Python.
• Architect and manage Azure-based data solutions including Data Lake Storage and Azure SQL.
• Design and deploy workflow orchestration using Azure Data Factory or Foundry.
• Collaborate with data scientists, analysts, and cloud architects to deliver clean, reliable data for modeling and dashboards.
• Apply data governance, reproducibility, and auditability across workflows.
• Contribute to Agile team processes and continuous improvement.

Skills

Python

Pandas

PyTorch

scikit-learn

NumPy

SQL

Azure

Azure Data Factory

Foundry

Data Lake Storage

Azure SQL

API development

Data governance

Education

Master’s degree or PhD in CS/Data Science/Engineering

Tools

Azure Data Factory

Foundry

Job description

Everforth ECS is seeking a Senior Data Engineer to lead advanced data integration and cloud solutions from a remote work setup, with emphasis on scalable ETL, data quality, and interoperability in Azure environments.

You will collaborate with data scientists and cloud architects to enable predictive modeling and real-time dashboards while ensuring governance and reproducibility across workflows.