Senior Data Engineer (Snowflake)

TL;DR

Senior Data Engineer (Snowflake): Design, implement, and maintain scalable data pipelines and dimensional data models using Snowflake with an accent on Medallion architecture (bronze/silver/gold) and reliable ETL/data integration workflows. Focus on building and transforming data for analytics while collaborating in an Agile environment with Jira and GitHub.

Location: Bulgaria, Georgia, Lithuania, Poland, Romania, Uzbekistan

Company

hirify.global provides a gateway to career opportunities and connects candidates with client roles in data engineering.

What you will do

• Design, implement, and maintain scalable data pipelines using Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and some Azure Data Factory.
• Build and maintain dimensional data models for analytics and reporting.
• Implement and manage Medallion architecture in Snowflake (bronze, silver, gold layers).
• Ensure reliable ETL processes, data transformations, and data integration workflows.
• Collaborate with teams using Jira for tracking and GitHub for code repository management.
• Improve data modeling practices and address weaknesses in dimensional modeling.

Requirements

• Hands-on experience with Snowflake, Coalesce.io, Airbyte, SQL Server/SSIS, and Azure Data Factory.
• Strong understanding of Medallion architecture and dimensional data modeling.
• Practical experience building ETL pipelines and transforming data for analytics.
• Familiarity with Jira and GitHub for collaborative development.
• Minimum 4-hour overlap with US Eastern Time.
• English: Intermediate/Upper-Intermediate.

Nice to have

• Exposure to Power BI.
• Experience with Salesforce data integration.
• Background in higher education / ed-tech domains.

Culture & Benefits

• Fully remote work.
• Agile team environment with modern data tooling.
• Collaboration with Jira and GitHub-based workflows.
• Opportunity to explore new technologies and improve data modeling practices.