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Live In Data Platform Engineer Jobs in Miami, FL

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Qualifications * 6+ years of experience in data engineering, data platform development, or analytics engineering. * Background in Financial Services, consulting, or high-growth technology ...

Data Engineering Manager

Miami, FL · On-site

$120 - $160/hr

Qualifications * 8-12+ years of experience in data engineering, data platform development, or analytics engineering. * 3-5+ years of experience leading engineering teams. * Background in Financial ...

New

Qualifications * 8-12+ years of experience in data engineering, data platform development, or analytics engineering. * 3-5+ years of experience leading engineering teams. * Background in Financial ...

Tech Lead, Data & Inference Engineer

Miami, FL · On-site

$109K - $131K/yr

... in Applied AI, Machine Learning, and Data Science. They are seeking a Tech Lead, Data & Inference Engineer to design, develop, and scale a data platform that transforms diverse data sources into ...

Founding Platform Engineer

Miami, FL · On-site

$100 - $180/hr

... in the same week. You'll own: * Go and PostgreSQL systems that execute and track money movement ... Full-stack product work when the job calls for it--from the data model and API to the Next.js ...

Lead Elixir Platform Engineer

Miami, FL · Remote

$170K - $250K/yr

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in ... They're not just building APIs -- they're creating the data rails for the decentralized economy ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

This role sits at the intersection of data engineering and platform engineering -- you will be expected to think in architectures, not just pipelines. What You Will Do Data Platform & Pipeline ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

This role sits at the intersection of data engineering and platform engineering - you will be expected to think in architectures, not just pipelines. What You Will Do Data Platform & Pipeline ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... Platform Observability: Instrument data analytics platforms with robust metrics, alerting, and ...

... platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes. Qualifications Required: * Bachelor's degree in a STEM field (e.g., Computer Science ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... Platform Observability: Instrument data analytics platforms with robust metrics, alerting, and ...

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

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... platforms, preferably Databricks/Snowflake/Azure Synapse required. • Experience in DevOps ... data models and creating effective dashboards. • Demonstrated ability to translate complex ...

General Information

Miami, FL · On-site

$61 - $78.50/hr

Within Data Engineering we help customers build world-class products through effective use of ... As tools evolve and technologies emerge, we work to stay in front of innovations in data platform ...

Data Engineer

Hollywood, FL · On-site

$190K/yr

Recommend the right data platform and integration tools based on business needs, security, cost, maintainability, and the existing technology environment. 3. Data Engineering and Integration * Build ...

Showing results 21-40

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:

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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 / Business Intelligence Lead (Banking)

ITTConnect

Miami, FL • On-site

Full-time

Posted 6 days ago


Job description

ITTConnect is seeking a Data / Business Intelligence Platform Lead for a direct-hire full time position with a client that is a large financial institution.

Position is hybrid in Miami.

Our client is at a strategic moment in our data platform transformation, migrating from an on premise environment to a modern cloud native stack based on AWS, Databricks, and PySpark. They are seeking a hands-on, business-oriented data platform leader to lead a 10 people team in order to manage the bank's end-to-end data intelligence platform.

The successful candidate will coordinate the modernization of the current on-premises data environment while leading the design and implementation of a governed cloud data platform on Databricks and AWS. This is a strategic role for a professional who can connect architecture, governance, delivery execution, data quality, security, and AI adoption into a coherent enterprise data capability.

Key Responsibilities:

Cloud Data Platform and Migration
  • Coordinate the structuring of the Databricks environment on AWS, including development pipelines, operational controls, governance parameters, data quality monitoring, alerting, and platform observability.
  • Define and align target-state solutions for ingestion, orchestration, processing, monitoring, security, and lifecycle management in the Databricks ecosystem.
  • Lead the migration of on-premises data pipelines to Databricks, ensuring they are rebuilt as reusable, scalable, governed, and well-documented data products.
  • Partner with technology, security, infrastructure, compliance, and business stakeholders to ensure the cloud platform meets banking-grade operational, regulatory, and information security expectations.
Data Products, Governance, and Quality
  • Coordinate the definition, documentation, and dissemination of the data product concept across the Data team and the broader bank.
  • Establish the required governance, ownership, metadata, lineage, access, quality, monitoring, and lifecycle dimensions for data products.
  • Review and strengthen governance practices in the current data warehouse environment, including data access workflows, pipeline development standards, orchestration processes, and data domain definitions.
  • Define and document data quality dimensions, implement automated quality tests, and build end-to-end monitoring and alerting for critical data flows.

On-Premises Platform Modernization
  • Coordinate DataSecOps practices to establish end-to-end monitoring and alerting across infrastructure, development environments, orchestration layers, and data pipelines.
  • Lead the inventory, technical assessment, rationalization, and recommendation process for SQL Server environments, including whether to migrate, retain, consolidate, modernize, or decommission each server.
  • Drive improvements in operational reliability, documentation, development standards, and production support for the current SQL Server, Airflow, and dbt environment.
AI Enablement and Governance
  • Coordinate the establishment of AI governance practices, including principles, controls, accountability, observability, and risk management considerations.
  • Identify, prioritize, and coordinate AI initiatives that generate measurable business value on top of both the current on-premises environment and the future cloud data platform.
  • Support experimentation and delivery of AI-based use cases in collaboration with business, data, technology, compliance, and risk stakeholders.


Requirements
  • 15+ years of experience in IT.
  • Strong experience leading data platform, data engineering, analytics engineering, or data architecture initiatives in complex enterprise environments.
  • Practical understanding of Databricks, AWS data services, SQL Server, Airflow, dbt, data ingestion patterns, orchestration, monitoring, and platform operations.
  • Demonstrated ability to translate data governance, data quality, metadata, lineage, access control, and observability requirements into practical engineering standards.
  • Experience coordinating platform migrations or modernization initiatives from legacy or on-premises environments to cloud-based architectures.
  • Experience with Databricks Lakehouse architecture, Unity Catalog, data quality frameworks, CI/CD pipelines, and cloud-native monitoring practices.
  • Experience with AWS services commonly used in data platforms, such as S3, IAM, networking, security controls, monitoring, and infrastructure automation.
  • Familiarity with regulatory, security, and audit expectations in banking or financial services.
  • Highly desirable fluency in Portuguese and/or Spanish.