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Sr Azure Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Aventura, FL

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of ... AWS S3, Azure Data Lake, Google BigQuery, and Snowflake. · Manage data lakes to facilitate ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of ... AWS S3, Azure Data Lake, Google BigQuery, and Snowflake. • Manage data lakes to facilitate ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer ...

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer ...

Data Engineer - Senior Manager

Miami, FL · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer ...

Senior Associate, Data Architect Job Code : 43047 Job Location : Multiple (Rochester, NY, Melbourne ... Experience with Microsoft Fabric, Azure Data Factory, or Azure Blob Storage for data engineering ...

Data Solutions Engineer

Orlando, FL · On-site

$106K - $128K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

Senior Data Engineer

Tampa, FL · Remote

$86K - $115K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Data Engineer designs ... Utilize Azure Data Factory to create pipelines that create, move, and transform data amongst the ...

Senior Data Engineer

Tampa, FL · On-site

$86K - $115K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Data Engineer designs ... Utilize Azure Data Factory to create pipelines that create, move, and transform data amongst the ...

Showing results 41-60

Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

What job categories do people searching Sr Azure Data Engineer jobs in Florida look for?

The top searched job categories for Sr Azure Data Engineer jobs in Florida are:

What cities in Florida are hiring for Sr Azure Data Engineer jobs?

Cities in Florida with the most Sr Azure Data Engineer job openings:

Infographic showing various Sr Azure Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

$109K - $131K/yr

Full-time

Re-posted 24 days ago


Job description

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.

Primary Responsibilities/Essential Functions

This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.

Key Responsibilities

Data Architecture and Engineering

· Design and implement scalable data pipelines for data ingestion, transformation, and storage.

· Architect and optimize data lakes and data warehouses to support analytics and reporting needs.

· Develop robust ETL processes to integrate structured and unstructured data from diverse sources.

· Ensure high data quality through cleaning, validation, and transformation techniques.

Cloud and Big Data Solutions

· Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.

· Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.

· Manage data lakes to facilitate efficient data access and processing for downstream applications.

Database and Data Warehousing

· Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.

· Lead database architecture efforts, including schema design, query optimization, and performance tuning.

· Oversee the design and management of data warehouses, ensuring reliability, scalability, and security.

Software Development and Automation

· Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.

· Implement scripting automation using Bash and PowerShell to streamline workflows.

· Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.

Collaboration and Leadership

· Act as a technical leader, providing guidance on best practices.

· Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.

· Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.

· Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.

Required:

· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

· 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.

· Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).

· Deep understanding of big data tools (Hadoop, Spark) and ETL processes.

· Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).

· Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.

· Experience designing and managing data warehouses for performance and scalability.

· Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.

Preferred

· Strong experience in software architecture, design patterns, and code optimization.

· Expertise in Python-based pipelines and ETL frameworks.

· Experience with Azure Data Services and Databricks.

· Excellent problem-solving, analytical, and communication skills.

· Experience working in agile environments and collaborating with diverse teams.