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URGENT HIRING: Senior Azure Data Engineer | 100% REMOTE
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Location:
100% Remote – U.S.
🕐
Schedule:
Eastern Time (EST) hours
⭐
Atlanta / Washington, DC / DMV candidates preferred, but location is NOT a major constraint
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Start:
Immediate
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Type:
Full-Time / Contract
We are looking for a
hands-on Senior Azure Data Engineer
to join a high-impact data engineering team supporting enterprise-scale data pipelines and modern Azure data platforms.
This is a
100% REMOTE opportunity
. Candidates can be located anywhere in the U.S., but must be comfortable working
Eastern Time (EST) hours
.
What You’ll Work On:
• Design and build complex data pipelines using
Azure Data Factory (ADF)
and
Azure Databricks
• Analyze and process
CSV, JSON, Parquet
and other data formats
• Build
Medallion Architecture (Bronze/Silver/Gold)
lakehouse pipelines
Build and maintain complex, multi-step ADF pipelines
• Use ADF to trigger and manage
Azure Databricks Jobs
, including parameters, monitoring, failures and retries
• Develop data transformation and validation logic using
Python, PySpark and Pandas
• Implement automated data quality checks using
Great Expectations
Troubleshoot, optimize, and tune production data pipelines
Work with SQL and cloud-based data engineering technologies
Core Requirements:
7+ years of Data Engineering experience with recent senior-level work
• Strong hands-on experience with
Azure Data Factory
• Strong experience with
Azure Databricks / Databricks Jobs
• Strong
Python, PySpark, and SQL
• Hands-on experience with
Great Expectations and Pandas
for data validation/data quality
Strong understanding of ETL/ELT, data pipelines, and cloud data engineering
Nice to Have:
Azure Data Engineer (DP-203) certification
Databricks certification
State or Federal Government project experience
Experience with AWS or GCP in addition to Azure
Experience with Lakehouse/Medallion architecture
Please apply through the LinkedIn application if your experience closely aligns with the requirements above.
Please note:
Due to the volume of applications, I may not be able to provide individual feedback to candidates whose profiles do not closely match the requirements. I appreciate your understanding and encourage you to apply only if your experience aligns with the role.
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