Azure Data Engineer - Full Remote - Contractor in USD

United States Digital Space LLC; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

United States Digital Space LLC is seeking a Remote Azure Data Engineer for an international organization in New York. You will design and implement data infrastructure, enabling standard data connectivity, storage, pipelining, and integration services within a hub-and-spoke model.

The role requires 5+ years in data warehousing, strong Azure Data Factory experience, and fluency in English. Candidates will work 4–5 hours daily during New York office hours and may be hired as employees or

Qualifications

• Bachelor or Master degree required.
• 5+ years of data warehouse architecture experience.
• 3+ years of Azure cloud experience.
• Proficiency with Azure Data Factory (ETL/ELT).
• Experience with Azure Storage/Data Lake/Data Warehouse.
• Experience with database architecture testing, debugging and test scripts.
• Working knowledge of Azure Synapse analytics.
• Strong coding experience in Python, Scala, or Java.
• Experience with Azure DevOps and Azure Purview is a plus.
• Fluent in English.

Responsibilities

• Collect large and complex data sets meeting business requirements.
• Design and optimize scalable data infrastructure and automate processes.
• Build data pipelines using Azure and SQL technologies.
• Develop analytical tools to derive actionable business insights.
• Collaborate with cloud, data governance, and information management teams to deploy data solutions.

Skills

Data warehouse design

Azure cloud experience

ETL/ELT development

Python/Scala/Java

English proficiency

Education

Bachelor or Master degree

Tools

Azure Data Factory

Azure Storage/Data Lake

Azure Synapse

Azure DevOps

Azure Purview

Job description

Category: IT Services

Location:

For an international organization in New York, we are urgently looking for a REMOTE Azure Data Engineer. As Azure Data Engineer, you are responsible for the design and implementation of a data infrastructure that provides standard data connectivity, storage, pipelining, and data integration services under a data hub and spoke architecture model

Candidates need to be able to work 4/5 hours per day in the normal office hours of New York, US. Example 9AM NY time equals 7:30PM. This role is open for employees and contractors

Tasks and responsibilities:

• Collecting large, complex sets of data that meet non-functional and functional business requirements;


• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes;


• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies;


• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition;


• Working with stakeholders including cloud infrastructure teams, data teams, governance, and information management officers, to collaboratively design, develop and deploy and support data solutions and related infrastructure;

Profile:

• Bachelor or Master degree;


• +5 years of relevant experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools;


• +3 years of experience with Azure Cloud portal;


• Proficiency in working with Azure Data Factory - Extraction, Transformation and Loading is required;


• Proficiency in working with Azure Storage/ Data Lake / Data Warehouse is required;


• Experience with Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools is required;


• Working knowledge of Azure Synapse analytics is required;


• Strong experience in coding languages like Python, Scala & Java is a plus;


• Experience with Azure DevOps and Azure Purview are a plus;


• Fluent in English;