1

Live In Data Platform Engineer Jobs in Miami, FL

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... Skilled in Data Lake platform administration, including workspace management and configuration ...

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... Skilled in Data Lake platform administration, including workspace management and configuration ...

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... Skilled in Data Lake platform administration, including workspace management and configuration ...

... platform, technology and tools implementation and adoption. * Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across ...

Data Lake Engineer

Doral, FL · On-site

$109K - $131K/yr

Job Title Data Lake Engineer Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... Skilled in Data Lake Platform administration, including workspace management, cluster optimization ...

Bachelor's or master's degree in data science, Statistics, Computer Science, Engineering, Business ... Familiarity with cloud data platforms such as Snowflake or BigQuery, data modeling, data quality ...

Data Engineer

Miami, FL

$120K - $180K/yr

... platform offerings. What you'll do: * Data Pipeline & Integration * Design, build, and maintain end ... Implement best practices in data modeling and visualization for operational efficiency. * Cloud ...

... in our warehouse, while also building and activating audiences through our customer data platform ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

... in our warehouse, while also building and activating audiences through our customer data platform ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

... in our warehouse, while also building and activating audiences through our customer data platform ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

... in our warehouse, while also building and activating audiences through our customer data platform ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

Data Lake Engineer with Security Clearance

Miami, FL · On-site

$109K - $131K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... Skilled in Data Lake platform administration, including workspace management and configuration ...

Azure/Databricks Infrastructure Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required:

Showing results 41-60

Live In Data Platform Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do live in data platform engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for live in data platform engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What are popular job titles related to Live In Data Platform Engineer jobs in Miami, FL?

For Live In Data Platform Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Live In Data Platform Engineer jobs in Miami, FL look for?

The top searched job categories for Live In Data Platform Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Live In Data Platform Engineer jobs?

Cities near Miami, FL with the most Live In Data Platform Engineer job openings:

Data Warehouse Architect

Octagon Talent

Fort Lauderdale, FL • Hybrid

Full-time

Re-posted 25 days ago


Job description

Octagon Talent Solutions is hiring a Data Warehouse Architect / Data Modeler in the Fort Lauderdale area to help shape our client company’s next-generation analytics foundation. In this hands-on role, you’ll architect a hybrid Databricks + Microsoft Fabric ecosystem, designing the data models that power decision-making, guiding lakehouse/warehouse structure, and partnering with data engineers to keep the platform scalable, trusted, and ready for an exciting future in the energy industry!


Responsibilities:


  • Own end-to-end data modeling for our client company’s modern data platform (conceptual, logical, and physical models)
  • Design scalable dimensional models (star/snowflake), canonical entities, and conformed dimensions to enable consistent reporting across domains
  • Partner with data engineers to implement models in a lakehouse context (Delta/Medallion patterns) across Databricks and Fabric
  • Define data contracts and modeling standards that improve consistency, quality, and downstream usability
  • Collaborate with stakeholders to translate requirements into clear data definitions, metrics, and model structures
  • Support pipeline design by providing modeling guidance for ingestion, transformation, and curated layers
  • Create and maintain documentation (data dictionaries, lineage, model diagrams) and ensure models remain understandable and maintainable
  • Contribute to performance and cost optimization (partitioning strategies, model design choices, query patterns)
  • Support modernization efforts as the company introduces Fabric components alongside existing Databricks investments
  • Collaborate on initiatives that enable agentic/AI use cases through clean, well-described data structures


Required Qualifications


  • 7+ years of experience in data modeling / data warehousing / analytics engineering (or equivalent)
  • Proven expertise in dimensional modeling and data warehouse best practices
  • Hands-on experience with Databricks and Delta Lake concepts
  • Experience with Microsoft Fabric (or strong readiness to operate in Fabric), including lakehouse/warehouse concepts
  • Experience building/maintaining models that support enterprise reporting and analytics
  • Strong SQL skills and ability to reason about query performance and warehouse design
  • Experience with orchestration and integration patterns using Azure Data Factory (ADF)
  • Ability to communicate clearly with technical and non-technical stakeholders (definitions, tradeoffs, and standards)


Preferred Qualifications


  • Experience in Azure-native data stacks (ADLS, ADF, Synapse, Purview, etc.)
  • Experience designing governance-oriented modeling standards (quality checks, naming conventions, metric definitions)
  • Experience with data observability and/or data quality tooling
  • Experience enabling self-service analytics and semantic layer practices
  • Familiarity with AI/ML data readiness and feature/curation patterns


Work Authorization

  • Must be a U.S. citizen or U.S. permanent resident (Green Card holder). No H-1B sponsorship is possible for this role.