EnIn Systems
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Engineer with 10+ years of IT experience, focusing on Azure data services. It requires strong skills in ADF, Databricks, and SQL. The contract is over 6 months, located onsite in the USA, and open to relocation candidates.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
February 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New Jersey, United States
-
🧠 - Skills detailed
#Data Science #Azure #PostgreSQL #Azure SQL #Azure DevOps #Azure Synapse Analytics #Python #Data Lake #Compliance #Azure Data Factory #PySpark #SQL (Structured Query Language) #Business Analysis #DevOps #ADLS (Azure Data Lake Storage) #"ETL (Extract #Transform #Load)" #Security #Microsoft Power BI #Spark (Apache Spark) #Cloud #SQL Server #Kafka (Apache Kafka) #Microsoft Azure #Snowflake #ADF (Azure Data Factory) #Data Modeling #Data Engineering #Synapse #Batch #Big Data #Azure cloud #Data Processing #Storage #Databricks #GIT #Leadership #BI (Business Intelligence) #Scala #Azure Databricks #Spark SQL #Data Quality #Data Pipeline
Role description
Job Title: Senior Azure Data Engineer
Experience: 10+ Years
Location: Open across USA (Relocation Candidates Only)
Job Summary
We are seeking a highly experienced Senior Azure Data Engineer with 10+ years of overall IT experience to design, build, and maintain scalable data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure data services, data warehousing, big data processing, and real-time data pipelines.
Key Responsibilities
Design and develop end-to-end data pipelines using Azure services.
Build and optimize ETL/ELT processes using Azure Data Factory (ADF).
Develop data processing solutions using Azure Databricks / Spark.
Implement and manage Azure Data Lake (ADLS Gen2) and Blob Storage.
Work with Azure Synapse Analytics for data warehousing and analytics.
Perform data modeling (Star/Snowflake schemas).
Ensure data quality, governance, security, and compliance.
Optimize performance, cost, and scalability of data platforms.
Collaborate with business analysts, data scientists, and stakeholders.
Migrate on-prem data systems to Azure cloud.
Provide technical leadership and mentor junior engineers.
Required Skills
10+ years of overall experience in Data Engineering / BI / Analytics.
6+ years of hands-on experience with Microsoft Azure.
Strong expertise in:
Azure Data Factory (ADF)
Azure Databricks (Spark, PySpark)
Azure Synapse Analytics
Azure Data Lake (ADLS Gen2)
Strong SQL skills (SQL Server / Azure SQL / PostgreSQL).
Experience with Python / PySpark.
Experience in building batch and real-time pipelines.
Good knowledge of CI/CD pipelines (Azure DevOps / Git).
Strong understanding of data warehousing concepts.
Nice to Have
Azure certifications (DP-203, AZ-305).
Experience with Power BI.
Experience with Kafka / Event Hub / Stream Analytics.
Experience in healthcare, finance, or retail domains.
Eligibility / Relocation
Must be open for full-time permanent role.
Must be willing to relocate and work onsite in the USA.
Valid work authorization: US Citizen, GC, H1B, H4 EAD, L2, TN, OPT (as applicable).
Keywords for Resume Search (Recruiter Use)
Azure Data Engineer, ADF, ADLS, Databricks, Synapse, PySpark, Spark SQL, Azure SQL, ETL, ELT, Big Data, Data Lake, Power BI, CI/CD, Azure DevOps, SQL Server, Python.
Job Title: Senior Azure Data Engineer
Experience: 10+ Years
Location: Open across USA (Relocation Candidates Only)
Job Summary
We are seeking a highly experienced Senior Azure Data Engineer with 10+ years of overall IT experience to design, build, and maintain scalable data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure data services, data warehousing, big data processing, and real-time data pipelines.
Key Responsibilities
Design and develop end-to-end data pipelines using Azure services.
Build and optimize ETL/ELT processes using Azure Data Factory (ADF).
Develop data processing solutions using Azure Databricks / Spark.
Implement and manage Azure Data Lake (ADLS Gen2) and Blob Storage.
Work with Azure Synapse Analytics for data warehousing and analytics.
Perform data modeling (Star/Snowflake schemas).
Ensure data quality, governance, security, and compliance.
Optimize performance, cost, and scalability of data platforms.
Collaborate with business analysts, data scientists, and stakeholders.
Migrate on-prem data systems to Azure cloud.
Provide technical leadership and mentor junior engineers.
Required Skills
10+ years of overall experience in Data Engineering / BI / Analytics.
6+ years of hands-on experience with Microsoft Azure.
Strong expertise in:
Azure Data Factory (ADF)
Azure Databricks (Spark, PySpark)
Azure Synapse Analytics
Azure Data Lake (ADLS Gen2)
Strong SQL skills (SQL Server / Azure SQL / PostgreSQL).
Experience with Python / PySpark.
Experience in building batch and real-time pipelines.
Good knowledge of CI/CD pipelines (Azure DevOps / Git).
Strong understanding of data warehousing concepts.
Nice to Have
Azure certifications (DP-203, AZ-305).
Experience with Power BI.
Experience with Kafka / Event Hub / Stream Analytics.
Experience in healthcare, finance, or retail domains.
Eligibility / Relocation
Must be open for full-time permanent role.
Must be willing to relocate and work onsite in the USA.
Valid work authorization: US Citizen, GC, H1B, H4 EAD, L2, TN, OPT (as applicable).
Keywords for Resume Search (Recruiter Use)
Azure Data Engineer, ADF, ADLS, Databricks, Synapse, PySpark, Spark SQL, Azure SQL, ETL, ELT, Big Data, Data Lake, Power BI, CI/CD, Azure DevOps, SQL Server, Python.
