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Associate Azure Databricks Jobs in Miami, FL (NOW HIRING)

RIT Solutions

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Azure Data Engineer Associate * Databricks Certified Data Engineer Associate or Professional Responsibilities: * Data Pipeline Development: * Create and manage scalable data pipelines to collect ...

RIT Solutions, Inc.

Azure Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

Azure Data Engineer Associate * Databricks Certified Data Engineer Associate or Professional Responsibilities: * Data Pipeline Development: * Create and manage scalable data pipelines to collect ...

Pwc

Data Engineer - Senior Associate

Miami, FL · On-site

$77K - $202K/yr

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data ...

Pwc

Data Engineer - Senior Associate

Miami, FL

$77K - $202K/yr

... Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required. • Strong programming skills in Python ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required. • Strong programming skills in Python ...

SOSi

Data Layer Engineer

Doral, FL · On-site

$105K - $127K/yr

Experience with tools such as such as Databricks Unity Catalog, Collibra, Alation, AWS Glue, or ... Azure Data Engineer Associate. Additional Information Work Environment * Normal office environment.

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All JobsAssociate Azure Databricks JobsAssociate Azure Databricks Jobs in Miami, FL

Associate Azure Databricks information

See Miami, FL salary details

$44K

$103.4K

$165K

How much do associate azure databricks jobs pay per year?

As of Jul 5, 2026, the average yearly pay for associate azure databricks in Miami, FL is $103,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $124,300.00 per year, depending on experience, location, and employer.

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Azure Databricks jobs in Miami, FL? The most popular types of Azure Databricks jobs in Miami, FL are:
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What cities near Miami, FL are hiring for Associate Azure Databricks jobs? Cities near Miami, FL with the most Associate Azure Databricks job openings:
Associate Azure Databricks jobs near you
Azure Data Engineer

Azure Data Engineer

RIT Solutions

Sunrise, FL • On-site

$109K - $131K/yr

Other

Posted 9 days ago

Job description

Senior Azure Data Analyst

A senior Azure Data Analyst with extensive experience working with the Azure Data suite listed below. The client would like to see certifications.

Candidates must have recent capital markets/trading and/or hedge fund experience and excellent communication skills. Hot & moving fast!! *** Candidate Must Have's on a resume and for submittal: 1. How many years working with: Azure Data Analyst 2. How many years working with: Azure Data Factory (ADF) 3. How many years working with: Azure Databricks

(highlighted expertise)

4. How many years working with: Logic Apps 5. How many years working with: Capital Markets/Hedge Funds Technical Skills:
  • Programming & Tools:
    • 10+ years of experience in SQL, Python..Net is a plus.
    • 5+ years of experience in Azure cloud services, including:
      • Azure SQL Server
      • Azure Data Factory (ADF)
      • Azure Databricks (highlighted expertise)
      • Azure Data Lake Storage (ADLS)
      • Azure Key Vault
      • Azure Functions
      • Logic Apps
  • 5+ years of experience in GIT and deploying code using CI/CD pipelines.
  • Certifications (Preferred):
    • Microsoft Certified: Azure Data Engineer Associate
    • Databricks Certified Data Engineer Associate or Professional

    • Responsibilities:

    1. Data Pipeline Development:
      • Create and manage scalable data pipelines to collect, process, and store large volumes of data from various sources.
    2. Data Integration:
      • Integrate data from multiple sources, ensuring consistency, quality, and reliability.
    3. Database Management:
      • Design, implement, and optimize database schemas and structures to support data storage and retrieval.
    4. ETL Processes:
      • Develop and maintain ETL (Extract, Transform, Load) processes to ensure accurate and efficient data movement between systems.
    5. Data Warehousing:
      • Build and maintain data warehouses to support business intelligence and analytics needs.
    6. Performance Optimization:
      • Optimize data processing and storage performance for efficient resource utilization and quick data retrieval.
    7. Documentation:
      • Create and maintain comprehensive documentation for data pipelines, ETL processes, and database schemas.
    8. Monitoring and Troubleshooting:
      • Monitor data pipelines and systems for performance and reliability, troubleshooting and resolving issues as they arise.
    9. Technology Evaluation:

    Apply