Senior Azure Data Engineer — Remote

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

Benefits offered by this job

Get paid, not played

Flexible withdrawal options

Predictable project hours

8-hour workdays

Flex days

24 flex days off/year

Career-accelerating positions

Long-term remote roles

Exclusive opportunities

Seamless contracting process

Job summary

Proxify is seeking a Senior Data Engineer with deep Azure expertise to join its remote-first network. You will design end-to-end data pipelines, model data warehouses, and enable robust reporting for clients.

Ideal candidates have 5+ years in data engineering, strong SQL skills, experience with Azure Data Factory, Data Lake, and governance. This role offers consistent monthly payments, flexible days off, and opportunities with cutting-edge companies worldwide.

Qualifications

• 5+ years in Data Engineering roles.
• Advanced SQL knowledge with complex queries and performance tuning.
• Strong Azure technology understanding: Azure SQL Database, Data Factory, etc.
• Proven ETL development, data integration, and pipeline orchestration.
• Data modeling principles and data warehouse architectures.
• Data governance, data quality, and data security best practices.

Responsibilities

• Design and develop end-to-end data pipelines using Azure Data Factory and SQL.
• Implement data models, DAX measures, and calculated columns to support reporting.
• Manage and optimize ETL workflows ensuring data quality and performance.
• Design and maintain data warehouses and dimensional models.
• Collaborate with analysts, developers, and stakeholders to translate requirements.
• Integrate data from SQL databases, cloud storage, APIs, and flat files.
• Ensure data governance, accuracy, and integrity across the BI ecosystem.

Skills

Advanced SQL

Azure SQL Database

Azure Data Factory

ETL development

Data modeling

Data governance

Tools

Azure Synapse Analytics

Power BI

Python

Azure DevOps

Job description

Proxify is seeking a Senior Data Engineer with deep Azure expertise to join its remote-first network. You will design end-to-end data pipelines, model data warehouses, and enable robust reporting for clients.

Ideal candidates have 5+ years in data engineering, strong SQL skills, experience with Azure Data Factory, Data Lake, and governance. This role offers consistent monthly payments, flexible days off, and opportunities with cutting-edge companies worldwide.