PEOPLE FORCE CONSULTING INC
Sr. Azure Data Engineer with Strong SQL and Databricks Experience
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Azure Data Engineer with strong SQL and Databricks experience, offering a 6+ month contract in Chicago, IL (Hybrid). Requires 8+ years in database development, advanced T-SQL, and expertise in Azure SQL and Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 2, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Database Security #Data Transformations #Data Architecture #Azure SQL Database #Spark SQL #Databricks #Security #Data Processing #Dimensional Modelling #Scala #Slowly Changing Dimensions #BI (Business Intelligence) #Azure cloud #Leadership #SQL (Structured Query Language) #Spark (Apache Spark) #Azure SQL #Code Reviews #Data Integrity #Azure #Cloud #Delta Lake #"ETL (Extract #Transform #Load)" #Dimensional Data Models #Databases #PySpark #Apache Spark #SQL Queries #Indexing #Datasets #Data Engineering #SQL Server
Role description
Seeking a Azure Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms
Role - Sr. Azure Data Engineer with strong SQL and Databricks experience
Interview process - Inperson ONLY
Experience: - 8+ Years
Location: - Chicago, IL (Hybrid 3 days Work from Office)
Duration: - 6+ months contract
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Roles And Responsibilities
Database Development & Optimization: Design, develop, and maintain complex SQL Server and Azure SQL databases.
Write and optimize advanced T-SQL queries, stored procedures, functions, and views.
Perform query tuning, indexing strategies, and performance optimization for large-scale datasets.
Implement best practices for database security, data integrity, and reliability.
Cloud & Data Platform: Develop and manage data solutions in Azure SQL Database.
Work with Databricks (Apache Spark) to support data transformations, analytics, and largescale data processing.
Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark/SQL where applicable.
Support cloud-based data architectures and hybrid data environments.
Data Modelling & Warehousing: Design and maintain relational and dimensional data models.
Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.
Support ETL/ELT processes and collaborate with data engineering teams.
Collaboration & Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.
Provide guidance and mentoring to junior developers.
Participate in code reviews and enforce database development standards.
Troubleshoot production issues and provide root cause analysis.
Mandatory Skills
10+ years of experience as a Database Developer or similar role.
Strong expertise in SQL Server and Azure SQL.
Advanced proficiency in T-SQL, including performance tuning and query optimization.
Hands-on experience with Databricks and Apache Spark.
Solid understanding of data warehousing concepts, dimensional modelling, and SCD.
Experience working in Azure cloud environments.
Strong analytical, problem-solving, and communication skills.
Seeking a Azure Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms
Role - Sr. Azure Data Engineer with strong SQL and Databricks experience
Interview process - Inperson ONLY
Experience: - 8+ Years
Location: - Chicago, IL (Hybrid 3 days Work from Office)
Duration: - 6+ months contract
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Roles And Responsibilities
Database Development & Optimization: Design, develop, and maintain complex SQL Server and Azure SQL databases.
Write and optimize advanced T-SQL queries, stored procedures, functions, and views.
Perform query tuning, indexing strategies, and performance optimization for large-scale datasets.
Implement best practices for database security, data integrity, and reliability.
Cloud & Data Platform: Develop and manage data solutions in Azure SQL Database.
Work with Databricks (Apache Spark) to support data transformations, analytics, and largescale data processing.
Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark/SQL where applicable.
Support cloud-based data architectures and hybrid data environments.
Data Modelling & Warehousing: Design and maintain relational and dimensional data models.
Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.
Support ETL/ELT processes and collaborate with data engineering teams.
Collaboration & Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.
Provide guidance and mentoring to junior developers.
Participate in code reviews and enforce database development standards.
Troubleshoot production issues and provide root cause analysis.
Mandatory Skills
10+ years of experience as a Database Developer or similar role.
Strong expertise in SQL Server and Azure SQL.
Advanced proficiency in T-SQL, including performance tuning and query optimization.
Hands-on experience with Databricks and Apache Spark.
Solid understanding of data warehousing concepts, dimensional modelling, and SCD.
Experience working in Azure cloud environments.
Strong analytical, problem-solving, and communication skills.
