

Oremda Infotech Inc
Azure Data Engineer/Power BI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer/Power BI Engineer with 7-9 years of experience, offering $85/hr for 12 months. Requires onsite work in NYC, strong Azure ETL and Power BI skills, and MTA PD or NYPD experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
680
-
🗓️ - Date
March 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Lexington, NY
-
🧠 - Skills detailed
#API (Application Programming Interface) #SQL Server #Azure ADLS (Azure Data Lake Storage) #ADLS (Azure Data Lake Storage) #Documentation #Terraform #Storage #DAX #Microsoft Power BI #REST (Representational State Transfer) #Scala #SQL (Structured Query Language) #Airflow #"ETL (Extract #Transform #Load)" #Data Architecture #SSIS (SQL Server Integration Services) #Databricks #Data Modeling #BI (Business Intelligence) #Data Engineering #Azure Synapse Analytics #Synapse #Oracle #Dimensional Data Models #DevOps #Spark (Apache Spark) #Deployment #Data Lake #Python #Azure Data Factory #.Net #Azure #C# #REST API #Azure Databricks #PySpark #ADF (Azure Data Factory) #Data Lineage #Data Warehouse #Data Pipeline #Security #Data Integration
Role description
Job Title: Azure Data Engineer/Power BI Engineer
Local candidate preferable.
Experience: 7-9 Yrs
Rate: 85/hr c2c
12 months – 37.5 hrs
420 Lexington Avenue NYC 10170
Note: preferred if candidate have MTA PD or NYPD experience.
Requires CMP10
The candidate must work onsite and will be subject to a Police Background Investigation. Hybrid work will be available after 3 months of exceptional performance determined by the manager (3 days onsite, 2 days remote). The primary work location will be at Jamaica station however visits to other MTA facilities in Manhattan will be required.
Position Summary -
We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills. They are required to have experience modernizing legacy Microsoft BI environments (including SSIS). This is not an SSIS-only role.
The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations.
This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions.
The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems. This requires architectural thinking and hands-on technical execution.
Core Responsibilities
• Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards.
• Design and implement modern ETL/ELT pipelines in Azure
• Assess and refactor existing SSIS packages as part of broader modernization efforts
• Architect Lakehouse / Medallion data models
• Develop optimized dimensional data models (star schema)
• Integrate data from SQL Server, Oracle, APIs, and security platforms
• Design and deploy enterprise Power BI dashboards
• Build paginated reports using Power BI Report Builder
• Optimize DAX and dataset performance
• Implement Row-Level Security (RLS)
• Support CI/CD and DevOps deployment processes
• Produce technical documentation and data lineage artifacts
• Engage directly with executive stakeholders
Required Technical Skills (Must-Have)
Data Engineering & Architecture
• Strong ETL/ELT design and optimization experience
• Advanced SQL (expert-level required)
• Python / PySpark
• Dimensional data modeling (star schema required)
• REST API integrations
Azure Data Stack
• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake Storage
Microsoft Data Platform
• Experience with SQL Server data warehouse environments
• Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions
Power BI
• Power BI Desktop (expert-level)
• Advanced DAX
• Executive dashboard development
• Paginated reports (Power BI Report Builder)
• Data Gateway configuration
• Incremental refresh
• Row-Level Security (RLS)
Nice to Have
• Microsoft Purview
• Terraform (Infrastructure-as-Code)
• Orchestration tools (Airflow or equivalent)
• Security systems data integration experience
• Experience with C# / .NET web application development (for integration with internal systems or APIs)
Experience Requirements
• 7+ years of hands-on data engineering / analytics delivery
• Demonstrated experience building production data pipelines in Azure
• Proven experience delivering executive-facing Power BI solutions
• Experience working in complex enterprise environments
Regards
Preeti Dixit
Preeti.dixit@oremda.com
205-509-6016
Job Title: Azure Data Engineer/Power BI Engineer
Local candidate preferable.
Experience: 7-9 Yrs
Rate: 85/hr c2c
12 months – 37.5 hrs
420 Lexington Avenue NYC 10170
Note: preferred if candidate have MTA PD or NYPD experience.
Requires CMP10
The candidate must work onsite and will be subject to a Police Background Investigation. Hybrid work will be available after 3 months of exceptional performance determined by the manager (3 days onsite, 2 days remote). The primary work location will be at Jamaica station however visits to other MTA facilities in Manhattan will be required.
Position Summary -
We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills. They are required to have experience modernizing legacy Microsoft BI environments (including SSIS). This is not an SSIS-only role.
The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations.
This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions.
The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems. This requires architectural thinking and hands-on technical execution.
Core Responsibilities
• Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards.
• Design and implement modern ETL/ELT pipelines in Azure
• Assess and refactor existing SSIS packages as part of broader modernization efforts
• Architect Lakehouse / Medallion data models
• Develop optimized dimensional data models (star schema)
• Integrate data from SQL Server, Oracle, APIs, and security platforms
• Design and deploy enterprise Power BI dashboards
• Build paginated reports using Power BI Report Builder
• Optimize DAX and dataset performance
• Implement Row-Level Security (RLS)
• Support CI/CD and DevOps deployment processes
• Produce technical documentation and data lineage artifacts
• Engage directly with executive stakeholders
Required Technical Skills (Must-Have)
Data Engineering & Architecture
• Strong ETL/ELT design and optimization experience
• Advanced SQL (expert-level required)
• Python / PySpark
• Dimensional data modeling (star schema required)
• REST API integrations
Azure Data Stack
• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake Storage
Microsoft Data Platform
• Experience with SQL Server data warehouse environments
• Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions
Power BI
• Power BI Desktop (expert-level)
• Advanced DAX
• Executive dashboard development
• Paginated reports (Power BI Report Builder)
• Data Gateway configuration
• Incremental refresh
• Row-Level Security (RLS)
Nice to Have
• Microsoft Purview
• Terraform (Infrastructure-as-Code)
• Orchestration tools (Airflow or equivalent)
• Security systems data integration experience
• Experience with C# / .NET web application development (for integration with internal systems or APIs)
Experience Requirements
• 7+ years of hands-on data engineering / analytics delivery
• Demonstrated experience building production data pipelines in Azure
• Proven experience delivering executive-facing Power BI solutions
• Experience working in complex enterprise environments
Regards
Preeti Dixit
Preeti.dixit@oremda.com
205-509-6016






