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Data Engineer Ml Jobs in Florida (NOW HIRING)

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse ... Enable analytics, reporting, and AI/ML use cases through well-structured, business-friendly data ...

Carnival Corporation & plc

Engineer, AI/ML

Miami, FL · On-site

$150 - $200/hr

In this role, you will be a part of our Corporate Data & AI strategy team to develop production ... Position Summary The AI / ML Engineer is responsible for designing, developing, deploying, and ...

Holland America Group

Engineer, AI/ML

Miami, FL · On-site

In this role, you will be a part of our Corporate Data & AI strategy team to develop production ... Position Summary The AI / ML Engineer is responsible for designing, developing, deploying, and ...

CARNIVAL CRUISE LINES

Engineer, AI/ML

Miami, FL · On-site

$150 - $200/hr

In this role, you will be a part of our Corporate Data & AI strategy team to develop production ... Position Summary The AI / ML Engineer is responsible for designing, developing, deploying, and ...

Carnival Corporation

Engineer, AI/ML

Miami, FL · On-site

In this role, you will be a part of our Corporate Data & AI strategy team to develop production ... Position Summary The AI / ML Engineer is responsible for designing, developing, deploying, and ...

Jj

Staff Data Engineer

Palm Beach Gardens, FL · On-site

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Mooresville ... Partner with Product Owners, Supply Chain teams, data governance, AI and ML groups, and IT partners ...

Holland America Group

Engineer, AI/ML

Miami, FL · On-site

In this role, you will be a part of our Corporate Data & AI strategy team to develop production ... Position Summary The AI / ML Engineer is responsible for designing, developing, deploying, and ...

The Walt Disney Company

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Lead Data Engineer Req ID: 10155437 About The Role & Team Do you want to lead the development of ... Experience using AI, ML, or automation to remove meaningful manual work from data pipeline or data ...

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... AI/ML Integration: Collaborate with data science teams to design and optimize data layers ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... AI/ML Integration: Collaborate with data science teams to design and optimize data layers ...

Virtusa

Data engineer

Tampa, FL · On-site

$108K - $129K/yr

Architect and implement scalable AI/ML workflows, managing the end-to-end lifecycle of models from ... Build robust data integration pipelines to connect AI models with enterprise data sources ...

Material Bank

Staff Data Engineer

Boca Raton, FL

Strong data foundations are core to this role. * 5+ years of experience in data engineering, AI/ML engineering, or related fields, including recent hands on experience building and shipping LLM ...

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Showing results 21-40

All JobsData Engineer Ml JobsData Engineer Ml Jobs in Florida

Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer Ml jobs in Florida?

For Data Engineer Ml jobs in Florida, the most frequently searched job titles are:

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

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

What cities in Florida are hiring for Data Engineer Ml jobs?

Cities in Florida with the most Data Engineer Ml job openings:

Data Engineer Ml jobs near you
Infographic showing various Data Engineer Ml job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Engineer (BI)

Bridgeway Benefit Technologies

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Re-posted 8 days ago

Key responsibilities

  • Design, develop, and maintain semantic data models, metrics layers, and certified datasets for reporting and self-service analytics.

  • Develop, maintain, and optimize dashboards and reports in Sigma, Power BI, and Databricks dashboards, enabling data exploration for business users.

  • Collaborate with stakeholders to gather requirements, define success measures, and translate them into technical data products.

Job description

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse infrastructure and the semantic models, dashboards, and reporting that sit on top of it. This role involves working closely with analysts, engineers, and business stakeholders to shape our data architecture, build secure and efficient data pipelines and curated data models, and turn data into self-service analytics and insight across the organization. The ideal candidate will have a strong background in data engineering, dimensional and semantic data modeling, business intelligence tooling, and ELT processes, along with a passion for making data accessible and actionable.

This is a remote position with occasional travel. Preference given to East Coast candidates.

Key Responsibilities:

  • Design and maintain semantic data models, metrics layers, and certified datasets that provide a consistent, business-friendly source of truth for reporting and self-service analytics.
  • Define, standardize, and govern KPIs, calculation logic, and a shared metric glossary so that metrics are consistent and trusted across dashboards and self-service analytics.
  • Develop, maintain, and optimize dashboards and reports in Sigma (primary), with some Power BI and native Databricks dashboards/AI-BI Genie , and enable business users to explore data through governed self-service analytics.
  • Define and maintain Sigma workspace standards (workbook templates, certified datasets, RLS configuration, naming/governance conventions) in the development instance for promotion across tenant environments, in partnership with Platform Engineering, for tenant-level administration.
  • Collaborate with the Architecture team on data quality, testing, and observability; own triage and resolution of BI-layer/dashboard issues.
  • Drive BI adoption by training and supporting business users, monitoring dashboard usage, and identifying underused or redundant assets for redesign, training, or deprecation.
  • Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
  • Gather reporting and analytics requirements from business stakeholders, define success measures, and translate them into technical specifications and well-structured data products.
  • Enable analytics, reporting, and AI/ML use cases through well-structured, business-friendly data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving.
  • Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
  • Build and maintain production dashboards and workbooks in Sigma, ensuring reliability and performance for business users.
  • Implement row-level security and Entra ID-based access controls to govern and secure data access within the BI/data platform.
  • Collaborate and communicate proactively with engineering, analytics, and business stakeholders, influencing priorities and driving alignment across teams.

Requirements:

  • 3+ years of hands-on data engineering and/or business intelligence experience required.   
  • Experience in Databricks, including DAB and Materialized Views.
  • 3+ years designing semantic/dimensional data models and building dashboards and reports in a modern BI platform including hands-on experience with a metrics or semantic layer required.
  • 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required.
  • Azure DevOps; GitHub CoPilot knowledge is a plus.
  • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
  • Experience dealing with HIPAA compliant data sets is a plus.