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Azure Data Factory Jobs in Florida (NOW HIRING)

Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Expertise in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

Familiarity with the Azure cloud ecosystem, specifically with data intensive components like Azure Synapse, CosmosDB, Data Factory, Databricks. * Robust knowledge of cloud storage aspects (ADLS gen2)

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The role will focus on converting manually executed SQL processes into scalable, scheduled workflows using Azure Data Factory (ADF) , ensuring reliable and efficient data delivery across critical ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Build, enhance, and maintain scalable data pipelines using Azure Data Factory * Develop, test, and optimize dbt models for Snowflake and Azurebased lakehouse workloads * Engineer ingestion ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Build, enhance, and maintain scalable data pipelines using Azure Data Factory * Develop, test, and optimize dbt models for Snowflake and Azurebased lakehouse workloads * Engineer ingestion ...

PCA Data Engineer

Orlando, FL

$106K - $128K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

PCA Data Engineer

Fort Lauderdale, FL

$109K - $131K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

PCA Data Engineer

Tampa, FL

$108K - $129K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

Azure Databricks Architect

Miami, FL · On-site

$60.75 - $79.25/hr

Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data Factory, and related Azure platform services. * Establish governance, security and code-quality standards for the platform.

Data Engineer with Security Clearance

Tampa, FL · On-site

$108K - $129K/yr

Build, enhance, and maintain scalable data pipelines using Azure Data Factory * Develop, test, and optimize dbt models for Snowflake and Azurebased lakehouse workloads * Engineer ingestion ...

ETL & Dashboard Developer

Tallahassee, FL · On-site

$48.50 - $63.50/hr

We are seeking an experienced ETL & Dashboard Developer to design, develop, and maintain data dashboards and ETL processes using Qlik Sense, SQL Server, SSIS, and Azure Data Factory . The role ...

Maintain Azure Data Factory pipelines and Power BI integrations to ensure timely and accurate analytics reporting * Architect for Scale: Review and improve Microsoft Data Fabric Architecture to ...

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Azure Data Factory information

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How much do azure data factory jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for azure data factory in Florida is $43.64, according to ZipRecruiter salary data. Most workers in this role earn between $39.52 and $49.04 per hour, depending on experience, location, and employer.

What is an Azure Data Factory job?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

Is ADF better than SSIS?

Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) are both data integration tools, but ADF is a cloud-based service optimized for large-scale, cloud-native data workflows, while SSIS is an on-premises tool suited for traditional ETL processes. For jobs involving cloud data movement, ADF offers better scalability and integration with Azure services, whereas SSIS is preferred for on-premises environments and complex transformations requiring local resources.

Is Azure Data Factory in demand?

Azure Data Factory is a highly in-demand data integration tool used by organizations to automate data workflows and manage data pipelines in cloud environments. Professionals with skills in Azure Data Factory, along with knowledge of cloud platforms and data engineering, are sought after as companies increasingly adopt cloud-based data solutions.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is ADF difficult to learn?

Azure Data Factory (ADF) is a data integration service that requires understanding of data workflows, pipelines, and cloud-based tools. While it has a learning curve for beginners, familiarity with SQL, data transformation concepts, and cloud environments can help accelerate the learning process. Many users find that with hands-on practice and official documentation, mastering ADF is achievable.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What is the salary in Azure Data Factory?

The salary for an Azure Data Factory professional varies based on experience, location, and role level, but typically ranges from $80,000 to $130,000 annually. Skilled professionals with certifications in Azure and data integration tools tend to earn higher salaries in this field.
What are the most commonly searched types of Azure Data Factory jobs in Florida? The most popular types of Azure Data Factory jobs in Florida are:
Infographic showing various Azure Data Factory job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,778 per year, or $43.6 per hour.
Azure Data Lead

Full-time

Re-posted 16 days ago


Job description

NAVA Software solutions is looking for a Azure Data Tech Lead
Details:
Position: Azure Data Tech Lead
Location: Remote
Duration: 1 year +
Minimum experience:
  • Azure Data Lake - 2 years
  • Azure Synapse Analytics - 3 years
  • SQL Server Data Warehouse - 8 years
  • Data Modeling - 5 years

Responsibilities
  • You are an expert in Azure Data Analytics having a thorough understanding of Azure Data Platform tools.
  • Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps.
  • Expertise in SQL Server DB, SQL Server Data Warehouse.
  • Collaborate with project stakeholders like database administrators, technical architects, business analysts, and product owners to determine project needs and plan development and implementation strategies.
  • To define, design, review, and explain Data Architecture requirements to all the project stakeholders.
  • Lead the migration of data from legacy systems to newly developed solution.
  • To create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects.
  • To design, develop and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics and provide solutions for Enterprise level Applications utilizing Azure Data Platform.
  • To implement data quality processes for use with BI solutions, data warehouses, etc.
  • Work on streamlining data flows and data models consistently.
  • Have a keen focus on improving and tuning data quality, accessibility, performance, and security needs.

Skills Required
  • Bachelor/ master's degree in the technology field (preference is computer science engineering, analytics).
  • Self-driven, and able to think holistically about the product roadmap.
  • Performing reviews of data Architecture and Designs.
  • Research new technologies and data modeling methods.
  • Creative in solving complex business problems.
  • Excellent written & verbal communication.
  • Proficient in capturing requirements, Architect and Design solutions for Azure Data Analytics, Data Lake, Data Warehousing, ETL Projects/Products
  • End-to-end implementation experience in at least ONE Project in Data Warehouse and Analytics using Azure Data platform tools.
  • Proficient in the tools: Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL DB, MS-SQL
  • Lead the solution implementation for Data Warehouse projects.
  • Create conceptual, logical, and physical data models for both relational and dimensional solutions.
  • Effectively managing large sets of data for performance, security, and data governance viewpoint.
  • Deep knowledge of a wide variety of database systems and data mining techniques.
  • Experience to build and test physical data models for a variety of use cases meeting performance and efficiency goals.
  • Excellent in Logical and Physical Data Modelling using data modeling tools like Erwin, Enterprise Architect, etc.
  • Certifications in Architecture, Analytics, Data Science, and Cloud will be added advantages.
  • Experience in Azure Functions.
  • Experience with implementing metadata-driven dynamic Azure pipelines is a plus.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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