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Remote Cloud Data Engineer Jobs in Florida (NOW HIRING)

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Chewy

Database Engineer II

Plantation, FL · On-site +1

$102K - $189K/yr

The ideal candidate will bring strong experience in cloud infrastructure, database engineering, workflow orchestration, and data platform automation. This role will lead the migration of analytical ...

New

Clarkston Consulting

Data Architect

Tampa, FL · On-site +1

$60.25 - $77.50/hr

Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining ... Familiarity with cloud data platforms and process automation * Experience in using various data ...

Booz Allen Hamilton, Inc.

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245982 Location: Doral,FL,US Share job via: Share Data Lake Engineer ... Experience in cloud security, role-based access control (RBAC), and compliance with DoW data ...

Incubator Lab

Head of Data

Miami, FL · Remote

$15K - $18K/mo

You will run a multi-disciplinary department across data engineering, business intelligence, data ... Negotiate and optimize contracts with critical third-party tooling, cloud providers, and ...

Co-op Solutions

Data Architect - REMOTE

Tallahassee, FL · Remote

$110K - $143K/yr

Designs solutions for data lake, data lakehouse, data warehouses, and similar cloud data architectures. * Creates and maintains documentation related to data development best practices, enterprise ...

Accenture

IFS Cloud Functional Lead

Miami, FL · On-site +1

$53.25 - $71.25/hr

WHO WE ARE: We are Supply Chain & Engineering: We embed innovation, intelligence, and ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

New

Accenture

IFS Cloud Functional Lead

Tampa, FL · On-site +1

$52.75 - $70.50/hr

WHO WE ARE: We are Supply Chain & Engineering: We embed innovation, intelligence, and ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

New

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Remote Cloud Data Engineer information

How does a remote cloud data engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

What is a remote cloud data engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.
What are the most commonly searched types of Cloud Data Engineer jobs in Florida? The most popular types of Cloud Data Engineer jobs in Florida are:
What are popular job titles related to Remote Cloud Data Engineer jobs in Florida? For Remote Cloud Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Data Engineer jobs in Florida look for? The top searched job categories for Remote Cloud Data Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Cloud Data Engineer jobs? Cities in Florida with the most Remote Cloud Data Engineer job openings:
Remote Cloud Data Engineer jobs near you
Infographic showing various Remote Cloud Data Engineer job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 2% In-person, and 98% Remote job distribution.

Data Platform Engineer

Worth AI

Orlando, FL • On-site, Remote

$106K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.
As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.
You'll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.
Responsibilities
What you'll do:
  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements
    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or "data-as-a-service" offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders

Nice to Have
    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida
Benefits
    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources

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