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Weekend Ai Data Engineer Jobs in Florida (NOW HIRING)

AI Data Engineer

Tallahassee, FL ยท 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 ...

AI Data Engineer

Fort Lauderdale, FL ยท 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 ...

AI Data Engineer

Fort Lauderdale, FL ยท 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 ...

Databricks Data Engineer II

Miami, FL ยท 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 ...

Databricks Data Engineer II

Tampa, FL ยท 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 ...

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 ...

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 ...

Lead Data Engineer

Miami, FL ยท 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 ...

Data Engineer (AI-focused)

Miami, FL ยท 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 ...

AI & Data AVP, Financial Services-Insurance

Miami, FL ยท On-site

$109K - $131K/yr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

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Weekend Ai Data Engineer information

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI research director or senior data scientist, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What engineer makes $500,000 a year?

Senior data engineers, especially those with expertise in AI, machine learning, and cloud platforms, can earn $500,000 or more annually in high-demand industries. Achieving this level typically requires extensive experience, advanced skills, and often leadership responsibilities or specialized certifications.

Do data engineers work on weekends?

Data engineers, including those working as weekend AI data engineers, typically follow a standard workweek but may work on weekends if project deadlines, system maintenance, or urgent issues require it. Flexibility in scheduling can vary depending on the employer and specific job responsibilities, especially in roles involving real-time data processing or 24/7 systems. However, many data engineering roles are primarily Monday through Friday with occasional weekend work.

Which 3 jobs will survive AI?

For a Weekend AI Data Engineer, roles that require complex problem-solving, creativity, and human judgment are most likely to survive AI automation. These include jobs like data scientists, AI specialists, and cybersecurity analysts, which involve designing, managing, and securing AI systems. Skills in critical thinking, domain expertise, and adaptability will remain valuable in these fields.
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 Weekend Ai Data Engineer jobs in Florida? For Weekend Ai Data Engineer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Weekend Ai Data Engineer jobs? Cities in Florida with the most Weekend Ai Data Engineer job openings:
AI Data Engineer

AI Data Engineer

QUANTUM TECHNOLOGIES LLC

Tallahassee, FL โ€ข On-site

$90/hr

Other

Posted 3 days ago


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.