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Remote Ai Data Engineer Jobs in Florida (NOW HIRING)

$284K/yr

  • Medical

  • Retirement

  • PTO

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... and AI team is seeking a Data Architect with experience in managing enterprise-level data life ...

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

  • Medical

  • Retirement

  • PTO

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... and AI team is seeking a Data Architect with experience in managing enterprise-level data life ...

Principal, Data Engineer

Tallahassee, FL · On-site +1

$153K - $284K/yr

  • Medical

  • Retirement

  • PTO

Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... and AI team is seeking a Data Architect with experience in managing enterprise-level data life ...

Showing results 21-40

Remote Ai Data Engineer information

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

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 job categories do people searching Remote Ai Data Engineer jobs in Florida look for?

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

What cities in Florida are hiring for Remote Ai Data Engineer jobs?

Cities in Florida with the most Remote Ai Data Engineer job openings:

Principal, Data Engineer

L3HHCM20

On-site, Remote

$284K/yr

Full-time

Medical, Retirement, PTO

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


Job description

Job Title: Principal, Data Engineer 

Job Code: 41066

Job Location: Melbourne, FL; or Remote Opportunity 

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Architect with experience in managing enterprise-level data life cycle processes. This individual will play a critical role in shaping our data architecture, ensuring the integrity, scalability, and efficiency of our systems. This includes overseeing data ETL/ELT pipelines, ensuring adherence to data and architectural standards, maintaining data frameworks, and ensuring data consolidation in our ontology or semantic layer. The selected individual will partner closely with development teams to design, review, and implement high quality data solutions within Palantir Foundry.

This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company’s data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor’s Degree and minimum 12 years prior Palantir experience or Graduate Degree and a minimum of 10 years of prior Palantir experience In lieu of degree, minimum 16 years of prior Palantir experience
  • 5+ years of experience as a data architect or in a senior data engineering role, ideally supporting enterprise-scale data and analytics platforms
  • 4+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
  • 5+ Years of overall Data Integration experience in Palantir Foundry or similar data integration tools

Preferred Additional Skills:

  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL 
  • Experience architecting Palantir Foundry platforms to enable Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration 
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst  
  • Demonstrated understanding of how Foundry\'s Ontology, operational workflows, and governed data assets enable AI-driven business and manufacturing solutions
  • Familiarity with SDLC processes and architecture review or data governance board processes
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $153,000-$284,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $133,000-$247,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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