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Remote Aws Data Engineer Jobs in Florida (NOW HIRING)

Luxury Coastal Vacations

Lead Data Engineer

Destin, FL

$93K - $122K/yr

Description The Lead Data Engineer owns Awayday's ingestion and pipeline layer end to end, from ... Implement the scoped, time-boxed contractor access model in Snowflake and AWS (roles as code, just ...

Kemper

Data Quality Engineer

Jacksonville, FL · Remote

$106K - $127K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Building data quality solutions in AWS cloud environments * Python-based automation and testing ...

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

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · Remote

$94K - $112K/yr

Develop technical documentation and knowledge base articles to help customers and AWS engineers ... Experience with agile development methodologies such as Scrum or Kanban #LI-DM2 #LI-Remote About ...

Total Performance Consulting

Data Engineer

Florida City, FL · Remote

$105K - $126K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

Data Meaning

Lead Data Architect

Boca Raton, FL · Remote

$190/hr

Remote, US based Position type: Full Time Employee Compensation: $190.000 (base + bonus) Job ... The position will work closely with the client's engineering teams and internal Data Meaning ...

L3HHCM20

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Data Engineer with experience in managing enterprise-level data life cycle processes. This role ...

L3HHCM20

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Data Engineer with experience in managing enterprise-level data life cycle processes. This role ...

L3HHCM20

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

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 ...

L3HHCM20

Principal, Data Engineer

Tallahassee, FL · On-site +1

$153K - $284K/yr

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 ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Suncoast Credit Union

Senior Data Engineer

Tampa, FL · Remote

$86K - $115K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Data Engineer designs, evaluates, and tests data infrastructures. This role is in charge of creating solutions that fits the ...

YO AI Labs

AI/ML Engineer - Remote

Miami, FL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI ...

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All JobsAws Data Engineer JobsRemote Aws Data Engineer JobsRemote Aws Data Engineer Jobs in Florida

Remote Aws Data Engineer information

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

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

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

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

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

What are the most commonly searched types of Aws Data Engineer jobs in Florida?

The most popular types of Aws Data Engineer jobs in Florida are:

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

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

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

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

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

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

Remote Aws Data Engineer jobs near you
Infographic showing various Remote Aws Data Engineer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Lead Data Engineer

Luxury Coastal Vacations

Destin, FL

$93K - $122K/yr

Full-time

Re-posted 4 days ago

Job description

Description
The Lead Data Engineer owns Awayday's ingestion and pipeline layer end to end, from each source system through to the landing and staging layers in Snowflake that every domain builds on. It is a foundational mandate. You will build and run the pipelines that bring each source system into the warehouse, direct the offshore engineering team that builds alongside you, and hold the ingestion layer to a standard of reliability the rest of the team can depend on as the company continues to grow.
This is the engineering counterpart to our analysts. Where they own the models and metrics a business domain depends on, you own the data getting there reliably, on schedule, and to a standard the rest of the team can build on top of. The ideal candidate is a seasoned, hands-on data engineer, someone who pairs deep command of SQL, Python, and cloud-warehouse ingestion with the judgment to set standards and the leadership to bring an offshore team along.
The core of the role is building and running the ingestion pipelines, steering the offshore pod's delivery through its tech lead, and owning pipeline reliability. It also underpins our AI initiatives, since the governed data this seat lands and stages is the foundation our agentic assistant retrieves from.
Requirements
Key Responsibilities:
Pipeline Ownership and Ingestion
  • Build and maintain the ingestion pipelines that stage every source system feeding the warehouse, spanning our property-management systems and our market, revenue, operations, and web data.
  • Bring net-new source systems online end to end: API and file-drop ingestion, landing and staging layers, schema-drift handling, and the load strategies that keep them production-grade.
  • Own pipeline performance and cost, from orchestration efficiency to the cost-efficiency of the ingestion tier.
  • Stay accountable for the reliability and health of the ingestion layer, not only for shipping new pipelines.

Engineering Team Leadership
  • Set sprint direction, priorities, and delivery expectations with the offshore tech lead, who assigns work, runs QC and pull-request sign-off, and manages the pod day to day.
  • Maintain the technical bar on changes that touch shared ingestion standards or architecture, with the pod running peer review on the rest.
  • Grow the pod toward owned outcomes measured against a scorecard, rather than billed hours.
  • Coach and mentor the team's engineers, growing the team's capability and the quality of its output over time.

Reliability and Operations
  • Direct the offshore pod's response to the production bug queue and pipeline incidents, prioritizing and unblocking as needed.
  • Establish and run a SEV1 to SEV3 severity scale, incident response, and a monthly reliability report that separates inherited debt from new defects.
  • Uphold the debt-paydown capacity the operating model reserves, so reliability improves as the estate grows.

Standards, Governance, and Platform
  • Enforce the technical data contract each new source meets at ingestion (schema, types, freshness, and quality) to the standard the function lead sets.
  • Keep CI gates on every merge and hold the ingestion coding standards the pod builds to.
  • Implement the scoped, time-boxed contractor access model in Snowflake and AWS (roles as code, just-in-time elevation) to the governance standard set with IT Security.

Automation and Leverage
  • Generalize and automate new-shop onboarding for our property-management systems, so a new source type needs an engineer once and a new shop within an existing type is a config row and a checklist.
  • Decouple acquisition-driven brand growth from engineering headcount through repeatable, config-driven onboarding.

AI and RAG Enablement
  • Contribute to the team's AI and RAG initiatives: build and maintain the governed data and retrieval plumbing our agentic assistant depends on.

Qualifications:
  • 6+ years in data engineering, with demonstrated ownership of production ingestion and ELT pipelines at scale.
  • Expert SQL and strong Python for data engineering.
  • Deep hands-on experience with a cloud data warehouse for high-volume landing and staging, Snowflake strongly preferred.
  • Workflow orchestration in production, using Apache Airflow, AWS MWAA, or an equivalent.
  • API- and file-based ingestion (REST APIs, S3), incremental loads, schema-drift handling, and data-quality testing.
  • CI/CD for data pipelines and disciplined code review.
  • Experience leading engineers or delivering through a team, setting technical direction and standards others build to.
  • Powerful written and verbal communication skills to align an offshore team across time zones and to translate technical tradeoffs for non-technical stakeholders.
  • Practical, hands-on experience applying AI tools to real work, including LLM-assisted workflows and retrieval-augmented generation (RAG). You know how to structure prompts and context and ground models on trusted data sources. Deep AI-engineering theory is not required, only fluency putting these tools to work.

Preferred Qualifications:
  • Infrastructure as code (Terraform) and cloud security or RBAC design.
  • AWS data services beyond MWAA, such as S3, Glue, and Lambda.
  • Experience building metadata-driven or config-driven pipeline frameworks.
  • Openness to an evolving data stack, including evaluating orchestration, ingestion, or warehouse tooling beyond our current set as the platform matures.
  • Demonstrated leadership of offshore or distributed delivery teams, setting direction and standards and delivering through a tech lead.

Key Attributes:
  • Ownership mindset. Takes a system from raw source to reliable production and stays accountable for it.
  • Raises problems and improvements unprompted, rather than waiting for direction.
  • Sets the technical standard and mentors; holding said standard without becoming a bottleneck.
  • Calm and methodical under pressure.
  • An innate sense of curiosity and desire to help others.

Apply