Negotiable
Outside
Remote
USA
Summary: The Azure Data Engineer role focuses on designing and implementing end-to-end data solutions using Azure technologies, particularly Azure Synapse and Spark. The position requires extensive experience in data engineering, with a strong emphasis on building scalable data pipelines and ensuring data quality and compliance. The ideal candidate should possess over 12 years of relevant experience, including significant time spent working with Azure. Strong communication and collaboration skills are essential for success in a remote work environment.
Key Responsibilities:
- Design and implement end-to-end data solutions using Azure Synapse and Spark
- Build scalable and efficient data pipelines across various data sources
- Collaborate with cross-functional teams for integration, performance tuning, and deployment
- Ensure data quality, security, and compliance across the platform
- Use App Insights and analytics to improve data reliability and performance (if applicable)
Key Skills:
- Azure Platform Expertise, including Azure Synapse Analytics and Apache Spark (on Azure)
- Azure Data Warehousing Solutions
- Azure Web Services Integration
- Strong hands-on experience with SQL Server
- Basic Networking Concepts
- Strong Data Engineering Skills
- Data ingestion, transformation, and orchestration
- Optimizing large-scale data pipelines
- Proven hands-on expertise in modern data architecture
- Self-driven and excellent communicator
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Azure Data Engineer
Location: Remote
Job Type: Contract
Experience: 12+ Years
Required Skills & Experience:
Azure Platform Expertise, including:
Azure Synapse Analytics
Apache Spark (on Azure)
Azure Data Warehousing Solutions
Azure Web Services Integration
SQL Server (Strong hands-on experience)
Basic Networking Concepts
Strong Data Engineering Skills
Data ingestion, transformation, and orchestration
Optimizing large-scale data pipelines
Value-Add Skills (Nice to Have):
Azure Data Analytics
Azure Application Insights
Role Expectations:
Design and implement end-to-end data solutions using Azure Synapse and Spark
Build scalable and efficient data pipelines across various data sources
Collaborate with cross-functional teams for integration, performance tuning, and deployment
Ensure data quality, security, and compliance across the platform
Use App Insights and analytics to improve data reliability and performance (if applicable)
Ideal Candidate:
12+ years of relevant experience in data engineering with at least 4-5 years on Azure
Proven hands-on expertise in Synapse, Spark, SQL, and modern data architecture
Self-driven, excellent communicator, and collaborative in remote environments