Senior Snowflake Data Engineer - Remote Contract

DigitalXNode; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

DigitalXNode is seeking a senior Data Engineer with deep Snowflake expertise to design and own scalable data pipelines and enterprise data platforms. You will work across Snowflake SQL components, RBAC, and performance tuning while collaborating with technical and business teams to deliver reliable data solutions.

The role requires strong SQL, Python, and ETL/ELT skills, plus experience with Azure or AWS and orchestration tools like Airflow or Azure Data Factory.

Qualifications

• 7+ years of professional experience in Data Engineering or a related field.
• 5+ years of practical experience with the Snowflake platform, encompassing Snowflake SQL, Tasks, Streams, Warehouse management, RBAC, clustering techniques, and performance tuning.
• Strong expertise in SQL, modern ETL/ELT frameworks, and data pipeline development.
• Experience building and maintaining enterprise Data Lakes and/or Data Warehouses.
• Experience working with cloud platforms such as Microsoft Azure or Amazon Web Services (AWS).
• Proficiency in Python for data engineering.
• Familiarity with Azure Data Factory and Apache Airflow to support scalable data processing.
• Strong understanding of data modeling concepts and distributed data systems.
• Excellent communication and collaboration skills across cross-functional teams.
• Strong problem-solving abilities and critical thinking.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes on Snowflake.
• Develop and optimize Snowflake objects, including Snowflake SQL, Tasks, Streams, Warehouses, RBAC configurations, and clustering strategies.
• Build and maintain enterprise Data Lakes and/or Data Warehouses to support reporting and analytics.
• Work with cloud platforms such as Azure or AWS to support data ingestion, storage, and processing.
• Write production-grade Python code to support data engineering workflows.
• Use orchestration tools such as Azure Data Factory and/or Airflow to schedule and manage data pipelines.
• Apply data modeling and warehousing principles across distributed data systems.
• Own end-to-end solutions from requirements gathering through deployment with minimal oversight.
• Translate evolving business requirements into clear, structured technical solutions.
• Collaborate across technical and business teams and mentor junior engineers as needed.

Skills

Snowflake

SQL

Python

ETL/ELT

Data Warehouses

Data Lakes

Azure

AWS

Airflow

Data Modeling

Cloud Platforms

Communication

Education

Bachelor's degree in Computer Science, Engineering, Information Systems

Tools

Azure Data Factory

Apache Airflow

Databricks

Spark

Delta Lake

Job description

DigitalXNode is seeking a senior Data Engineer with deep Snowflake expertise to design and own scalable data pipelines and enterprise data platforms. You will work across Snowflake SQL components, RBAC, and performance tuning while collaborating with technical and business teams to deliver reliable data solutions.

The role requires strong SQL, Python, and ETL/ELT skills, plus experience with Azure or AWS and orchestration tools like Airflow or Azure Data Factory.