Remote Azure Data Engineer: Build Scalable Data Pipelines

RiseMe; New York (NY); Remote; USD 120,000 - 160,000; Full time

Job summary

Socket.dev is seeking an Azure Data Engineer to design and implement a data infrastructure supporting standard data connectivity, storage, pipelining, and integration in a hub-and-spoke model. The role requires 5+ years of data warehousing and ETL experience and strong Azure data services skills.

The candidate will work 4/5 hours daily within New York office hours, with options for remote work for both employees and contractors, and will collaborate with cloud, governance, and data teams to

Qualifications

• Bachelor's or Master's degree in a related field.
• 5+ years of data warehouse architecture and ETL/ELT experience.
• 3+ years of experience with Azure Cloud portal.
• Proficiency with Azure Data Factory for ETL/ELT tasks.
• Experience with Azure Storage/Data Lake/Data Warehouse.
• Fluent in English.

Responsibilities

• Collecting large, complex data sets meeting business requirements.
• Designing internal processes to improve scalability and automate tasks.
• Building infrastructure for ETL/ELT with Azure and SQL technologies.
• Developing analytical tools to extract insights from data pipelines.
• Collaborating with cloud, governance, and data teams to deploy data solutions.

Skills

Data warehousing

ETL/ELT design

Python/Scala/Java

Stakeholder collaboration

Analytical thinking

Education

Bachelor's degree

Master's degree

Tools

Azure Data Factory

Azure Storage/Data Lake/Data Warehouse

Azure Synapse

Azure DevOps

Azure Purview

SQL

Python

Scala

Java

Job description

Socket.dev is seeking an Azure Data Engineer to design and implement a data infrastructure supporting standard data connectivity, storage, pipelining, and integration in a hub-and-spoke model. The role requires 5+ years of data warehousing and ETL experience and strong Azure data services skills.

The candidate will work 4/5 hours daily within New York office hours, with options for remote work for both employees and contractors, and will collaborate with cloud, governance, and data teams to