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Data Engineer Data Bricks Jobs in Florida (NOW HIRING)

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

... Bricks, Spark, and Data Explorer. * 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases. * Practical experience in Python and at least 1 of the following programming ...

Data Engineer

Juno Beach, FL · On-site

$111.90K - $134.40K/yr

Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data pipelines and feature engineering workflows * Work with SQL and/or cloud-based data ...

Data Engineer

Orlando, FL · On-site

$107K - $128.50K/yr

ABOUT VAXCARE Are you looking for a data engineering role that can meaningfully impact the physical health of the United States' population for the next 20 years? Do you want to write software that ...

Data Engineer

Tampa, FL

$108.20K - $129.90K/yr

As a Data Engineer , you'll design and deliver scalable, analyticsready data solutions that support reporting, insights, and decisionmaking across the organization. You'll partner closely with ...

Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Data Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AI™ Population Health Platform.

Data Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

Data Engineer Location: Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company ...

Data Engineer

Orlando, FL · On-site

$106.90K - $128.40K/yr

Data Engineer Location: Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month contract Role Overview We are seeking a Data Engineer to support the Finance and BI teams by automating ...

Data Engineer

Pompano Beach, FL · On-site

$76K - $85K/yr

Data Engineer Department: Technology and Data Strategy Position Location: Remote Reports to: Data and Analytics Director Position Summary: The Data Engineer builds and maintains the data ...

Data Engineer

West Palm Beach, FL · On-site

$110.80K - $133K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Miami, FL · On-site

$109.50K - $131.50K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Miami, FL

$109.50K - $131.50K/yr

Data Engineer Location: Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company ...

Data Engineer Location: Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company ...

Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

As a Data Engineer , you'll design and deliver scalable, analytics-ready data solutions that support reporting, insights, and decision-making across the organization. You'll partner closely with ...

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Data Engineer Data Bricks information

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Databricks, and why are they important?

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.

What are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What are popular job titles related to Data Engineer Data Bricks jobs in Florida? For Data Engineer Data Bricks jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Bricks jobs in Florida look for? The top searched job categories for Data Engineer Data Bricks jobs in Florida are:
What cities in Florida are hiring for Data Engineer Data Bricks jobs? Cities in Florida with the most Data Engineer Data Bricks job openings:
Infographic showing various Data Engineer Data Bricks job openings in Florida as of May 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 17% Physical, and 83% Hybrid job distribution.
Azure Cloud Data Engineer

Azure Cloud Data Engineer

ARC Group

Weston, FL • Remote

$108.90K - $130.80K/yr

Full-time

Posted 11 days ago


Job description

AZURE DATA ENGINEER (REMOTE)
ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C).
The Azure Data Engineer is 100% remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform.
This is a fantastic opportunity to join a well-respected global leader in the supply chain / logistics space and allows for tremendous career growth potential. The company provides competitive salary, bonus, benefits, and room to grow.
AZURE DATA ENGINEER SUMMARY
  • You will be responsible for expanding and optimizing our Azure Data Lake, as well as optimizing the data flow and collection for cross-functional teams.
  • Building data pipelines as well as processing (transforming, aggregating, wrangling) data.
  • Optimizing data systems and building them from the ground up. In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure that the optimal data delivery is consistent throughout ongoing projects.
  • In addition to the development of data solutions, you are accountable for the customer's Azure support experience driving resolution of complex critical problems from problem identification to full resolution, you will own and manage the customer/user experience and supporting key customer projects on Azure.
  • Your day-to-day job will be about providing both technical expertise and about being an excellent communicator and a service oriented professional. You will debug, troubleshoot, correct code, and help resolve business user's issues.
REQUIREMENTS/SKILLS:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics
  • 6+ years of experience of IT platform implementation in a highly technical and analytical role.
  • 2 to 4 years of recent professional experience with Data Management technologies
  • 2 years Azure Data Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks, Spark, and Data Explorer.
  • 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases.
  • Practical experience in Python and at least 1 of the following programming languages: Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++.
  • Experience building data ingestion pipelines for a cloud, with data consumable by business intelligence solutions (e. g. PowerBI) and/or data scientists.
  • 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)
  • Expertise in cloud security aspects
  • Routine command of observability approaches for the clouds: logging, monitoring, tracing.

Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.
ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed.
ARC Group is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.