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Azure Data Bricks Engineer Jobs in Florida (NOW HIRING)

ReturnPro

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 ...

WatchGuard Technologies, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Azure Cloud Infrastructure ▸ Manage and optimise Azure Data Lake Storage Gen2 (ADLS) -- folder ... on data engineering best practices. ▸ Support CI/CD adoption for pipeline and dbt model ...

Pwc

Data Engineer - Manager

Jacksonville, FL · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Manager

Miami, FL · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Manager

Tampa, FL · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Manager

Orlando, FL · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

DPR Construction

Data Engineering Lead- Finance

Tampa, FL

$108K - $129K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

DPR Construction

Data Engineering Lead- Finance

Orlando, FL

$106K - $128K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

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All JobsAzure Data Bricks Engineer JobsAzure Data Bricks Engineer Jobs in Florida

Azure Data Bricks Engineer information

How does an Azure Data Bricks engineer typically collaborate with data scientists and business analysts within a project team?

Azure Data Bricks Engineers often work closely with data scientists and business analysts to design, build, and optimize scalable data pipelines and analytics solutions. They enable seamless data access, integrate various data sources, and ensure efficient data processing, which allows data scientists to focus on modeling and analysis. Regular collaboration involves participating in sprint planning, code reviews, and troubleshooting sessions to ensure the data infrastructure aligns with business requirements. Clear communication and cross-functional teamwork are essential for successful project delivery.

What are the key skills and qualifications needed to thrive as an Azure Data Bricks engineer, and why are they important?

To thrive as an Azure Data Bricks Engineer, you need a strong background in data engineering, distributed computing, and proficiency with languages like Python, SQL, and Scala, usually supported by a relevant degree or certification. Familiarity with Azure Data Bricks, Azure Data Lake, Spark, and integration with other Azure services is essential, as is knowledge of cloud security and DevOps practices. Strong problem-solving skills, attention to detail, and effective communication enable successful collaboration with cross-functional teams and stakeholders. These skills are vital for building scalable, reliable data solutions that drive business insights and value in cloud-based environments.

What is an Azure Data Bricks engineer?

An Azure Databricks Engineer is an IT professional who specializes in designing, developing, and maintaining data analytics solutions using Azure Databricks, a cloud-based Apache Spark platform provided by Microsoft Azure. They build data pipelines, integrate data from various sources, and enable advanced analytics and machine learning tasks. Their responsibilities often include optimizing performance, ensuring data security, and collaborating with data scientists and business analysts to deliver insights.

What is the difference between Azure Data Bricks Engineer vs Data Engineer?

AspectAzure Data Bricks EngineerData Engineer
Required CredentialsAzure certifications, SQL, SparkGeneral data management, SQL, Python, cloud certifications
Work EnvironmentAzure cloud platform, Data Bricks environmentVarious cloud platforms or on-premises data systems
Employer & Industry UsageTech, finance, healthcare using Azure cloudBroad industry, including tech, finance, retail
Common Search & ComparisonFocus on Azure Data Bricks-specific skillsBroader data pipeline and database management skills

Azure Data Bricks Engineers specialize in building data solutions on the Azure platform using Data Bricks, while Data Engineers have a broader role managing data pipelines across various platforms. Both roles require SQL and cloud knowledge, but Azure Data Bricks Engineers focus more on Spark and Azure-specific tools.

What are popular job titles related to Azure Data Bricks Engineer jobs in Florida? For Azure Data Bricks Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Azure Data Bricks Engineer jobs in Florida look for? The top searched job categories for Azure Data Bricks Engineer jobs in Florida are:
What cities in Florida are hiring for Azure Data Bricks Engineer jobs? Cities in Florida with the most Azure Data Bricks Engineer job openings:
Azure Data Bricks Engineer jobs near you
Infographic showing various Azure Data Bricks Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

ReturnPro

Aventura, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 26 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.

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