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Ai Data Engineer Jobs in Florida (NOW HIRING)

QUANTUM TECHNOLOGIES LLC

AI Data Engineer

Tallahassee, FL · On-site

$90/hr

AI Data Engineer Location: Tallahassee, FL, USA Duration: 12 Months + Extension Bill Rate: $90/hr on C2C Job Type: C2C/1099 Contract Client: To Be Discussed Later Work Authorization: US-Citizen, H-1B ...

Broward Health

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Broward Health is a healthcare organization focused on providing quality services, and they are seeking an AI Data Engineer. The role involves designing and maintaining data pipelines for AI model ...

BHC ISC

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Design build and maintain scalable data pipelines for the ingestion processing and transformation of large complex datasets used in AI model training and inference. Participate in the development and ...

Deloitte

Databricks Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Deloitte

Databricks Data Engineer II

Tampa, FL · On-site

$108K - $129K/yr

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

RELX

AI Data Analyst

Boca Raton, FL

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

Lennar Homes

Lead Data Engineer

Miami, FL · On-site

$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 ...

Rempli

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Data Engineer (AI-focused) We work with teams building data foundations for AI-and we're looking to connect with Data Engineers who can structure, move, and scale data for intelligent systems. If you ...

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All JobsAi Data Engineer JobsAi Data Engineer Jobs in Florida

Ai Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do ai data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for ai data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Data Engineer position, and why are they important?

To thrive as an AI Data Engineer, you need strong proficiency in programming (Python, SQL), data architecture, and machine learning fundamentals, typically supported by a degree in computer science, engineering, or a related field. Experience with big data tools (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and certifications like Google Professional Data Engineer are highly valuable. Excellent problem-solving skills, attention to detail, and effective team communication help distinguish top performers in this role. These abilities ensure the development of robust data pipelines and systems that power accurate AI solutions in a collaborative and rapidly-evolving environment.

What does an AI Data Engineer do?

An AI Data Engineer designs, builds, and manages data pipelines and infrastructure to support AI and machine learning models. They collect, process, and store large datasets, ensuring data is clean, structured, and accessible for AI applications. Their role involves working with big data tools, cloud platforms, and databases to optimize performance and scalability. Collaboration with data scientists and software engineers is essential to deploy and maintain AI solutions efficiently.

Which 3 jobs will survive AI?

AI Data Engineers will continue to be in demand as they design, implement, and maintain AI systems, requiring skills in data management, programming, and machine learning. Other roles likely to persist include cybersecurity specialists, who protect systems from evolving threats, and healthcare professionals, especially those involved in patient care and diagnostics, as these fields require human judgment and empathy. These jobs benefit from specialized skills, certifications, and the ability to adapt to technological advancements.

What are some common challenges an AI Data Engineer might face in their daily work?

AI Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and building scalable data pipelines to handle large volumes of information. Working closely with data scientists and software engineers requires strong collaboration and flexibility to adapt to shifting project requirements or algorithms changes. Keeping up with the latest developments in big data and machine learning tech stacks is also crucial. Overcoming these challenges provides a dynamic work environment and offers valuable learning and career growth opportunities.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research lead, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in machine learning, deep learning, data engineering, and experience with tools like TensorFlow or PyTorch, often combined with leadership responsibilities and a strong track record of innovation.

What does an AI data engineer do?

An AI data engineer designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning models. They work with large datasets, ensure data quality, and use tools like SQL, Python, and cloud platforms to enable efficient data processing and model training.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries like technology or finance.
What are the most commonly searched types of Ai Data Engineer jobs in Florida? The most popular types of Ai Data Engineer jobs in Florida are:
What are popular job titles related to Ai Data Engineer jobs in Florida? For Ai Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Ai Data Engineer jobs in Florida look for? The top searched job categories for Ai Data Engineer jobs in Florida are:
What cities in Florida are hiring for Ai Data Engineer jobs? Cities in Florida with the most Ai Data Engineer job openings:
Ai Data Engineer jobs near you
Infographic showing various Ai Data Engineer job openings in Florida as of July 2026, with employment types broken down into 69% Full Time, 22% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
AI Data Engineer

AI Data Engineer

QUANTUM TECHNOLOGIES LLC

Tallahassee, FL • On-site

$90/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AI Data Engineer

Location: Tallahassee, FL, USA

Duration: 12 Months + Extension

Bill Rate: $90/hr on C2C

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

  • Design, develop, and optimize scalable batch and real-time data pipelines using Apache Spark (PySpark/Spark SQL).
  • Write complex, high-performance SQL queries for data extraction, transformation, analytics, and reporting.
  • Build and maintain ETL/ELT pipelines to ingest, cleanse, transform, and integrate structured and unstructured data.
  • Prepare, curate, and validate datasets for Machine Learning and Generative AI applications.
  • Develop and optimize RAG (Retrieval-Augmented Generation) data pipelines using vector databases and document processing frameworks.
  • Integrate enterprise data with Large Language Models (LLMs) such as OpenAI GPT, Azure OpenAI, Claude, or Gemini.
  • Implement AI-powered data quality validation, anomaly detection, and automated monitoring solutions.
  • Perform data validation, testing, and quality assurance to ensure data accuracy, completeness, and consistency.
  • Optimize Spark jobs, SQL queries, and distributed processing for maximum performance and scalability.
  • Collaborate with Data Scientists, AI Engineers, Business Analysts, and Application Developers to support AI initiatives.
  • Monitor ETL workflows and AI data pipelines to ensure reliable and timely data delivery.
  • Maintain technical documentation for data architecture, AI pipelines, metadata, and data models.
  • Follow best practices for data governance, security, compliance, and AI model lifecycle management.
    Preferred Qualifications:
  • 5+ years of experience as a Data Engineer.
  • Strong hands-on experience with SQL and query optimization.
  • Extensive experience with Apache Spark (PySpark/Spark SQL).
  • Strong Python programming experience.
  • Experience building and maintaining scalable ETL/ELT pipelines.
  • Strong understanding of relational databases and data modeling.
  • Experience with Generative AI, LLMs, and AI-powered data engineering workflows.
  • Knowledge of RAG architecture, embeddings, vector databases (Pinecone, ChromaDB, FAISS, or Weaviate), and semantic search.
  • Experience with AI frameworks such as LangChain or LlamaIndex.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with data testing, validation, and quality assurance.
  • Strong analytical, troubleshooting, and communication skills.
  • Ability to work effectively in an onsite, collaborative environment.
  • Experience with Databricks.
  • Experience with Delta Lake, Apache Iceberg, or Apache Hudi.
  • Knowledge of Kafka, event-driven architectures, or streaming data pipelines.
  • Experience with Airflow or other workflow orchestration tools.
  • Experience with Docker and Kubernetes.
  • Familiarity with MLOps tools such as MLflow.
  • Experience implementing enterprise AI governance and responsible AI practices.

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