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Data Compute Jobs in Florida (NOW HIRING)

Deloitte

AI Data Engineer - Senior Consultant

Tampa, FL · Hybrid

$98K - $135K/yr

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... and scalable compute patterns. * 4+ years of experience with structured problem solving ...

Deloitte

AI Data Engineer - Senior Consultant

Miami, FL · Hybrid

$99K - $137K/yr

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... and scalable compute patterns. * 4+ years of experience with structured problem solving ...

Blackstone Medical Services

Bookkeeper

Tampa, FL

Obtain primary financial data for accounting records * Compute and record numerical data * Check the accuracy of business transactions * Perform data entry and administrative duties Qualifications:

Hut 8

Senior Network Engineer

Miami, FL · On-site

$99K - $136K/yr

The ideal candidate will possess deep experience with hyperscale or HPC networking, AI cluster deployments, data center operations, and advanced troubleshooting across compute, storage, and network ...

Int. Aircraft Marketing & Sales

Be Seen First

Quickbooks Bookkeeper

Sarasota, FL · On-site

$25 - $30/hr

Obtain primary financial data for entry to accounting records * Compute and record numerical data * Check the accuracy of financial transactions * Perform data entry and administrative duties ...

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Data Compute information

What are the key skills and qualifications needed to thrive in the Data Compute position, and why are they important?

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What are the typical daily responsibilities of someone in a Data Compute role?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.

What is a Data Compute job?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

What are popular job titles related to Data Compute jobs in Florida? For Data Compute jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Compute jobs in Florida look for? The top searched job categories for Data Compute jobs in Florida are:
Data Compute jobs near you
Technical Project Lead / Manager

Technical Project Lead / Manager

Accenture Federal Services

Tampa, FL • Hybrid

Other

Posted yesterday

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 427 rated business services

Job description

Overview

The Technical Project Lead / Manager will oversee the planning, delivery, and operational stability of cloud and onpremises environments supporting advanced AI/ML workloads and highperformance computing (HPC) systems. This role combines handson technical leadership with project management responsibilities, ensuring that infrastructure, networking, CI/CD pipelines, and GPUaccelerated compute environments meet mission and program objectives. The ideal candidate has strong experience with hybrid cloud architectures, HPC or GPUbased environments, DevSecOps/CICD automation, and Agile delivery frameworks. The Technical Project Lead will guide engineering teams, collaborate with stakeholders, and manage execution across multiple parallel workstreams.

Responsibilities

  • Lead the design, deployment, and optimization of cloud and onprem compute environments supporting AI/ML, MLOps, and HPC workloads.
  • Oversee GPUenabled compute clusters, HPC networking, and performance tuning.
  • Direct the implementation and maintenance of CI/CD pipelines supporting model training, model deployment, and dataintensive workflows.
  • Guide engineers on containerization, orchestration, system architecture, and infrastructure modernization.
  • Ensure systems comply with security, accessibility, and governance requirements (e.g., DevSecOps practices, hardened cloud/onprem environments).
  • Own endtoend delivery for infrastructure and engineering initiatives, including scope, schedule, risks, and dependencies.
  • Develop and maintain project roadmaps, resource plans, and technical execution milestones.
  • Drive a modified Agile delivery process tailored to the team's engineering workflows, ensuring consistent cadence and continuous improvement.
  • Coordinate crossfunctional contributors including cloud engineers, systems engineers, platform engineers, data engineers, and security professionals.
  • Monitor project health metrics and proactively escalate obstacles. Facilitate technical reviews, sprint planning, backlog refinement, and stakeholder briefings.
  • Work directly with leadership, engineering teams, and mission/program stakeholders to align technical priorities and delivery timelines.
  • Translate complex technical requirements into clear work packages and implementation strategies.
  • Maintain strong relationships across internal teams and external partners supporting cloud, network, and AI/ML projects.
  • Oversee operational readiness, system reliability, and performance of hybrid compute environments.
  • Guide teams in implementing best practices for monitoring, logging, fault tolerance, and capacity management.
  • Partner with security teams to ensure compliance, secure configuration, and continuous risk management.
  • Support troubleshooting of complex infrastructure, networking, or performance issues across GPU and HPC platforms.

Qualifications

  • 5 years of experience with any of the following knowledge:
    • Experience leading hybrid cloud and onpremises infrastructure projects (AWS or private cloud).
    • Strong background in systems engineering, cloud engineering, or HPC engineering.
    • Handson familiarity with GPUaccelerated compute, containerized workloads, Kubernetes, and clusterbased architectures.
    • Working knowledge of CI/CD pipelines and DevSecOps tooling.
  • Demonstrated ability to run Agile or hybridAgile delivery processes.
  • Experience managing crossfunctional engineering teams and coordinating technical efforts.
  • Ability to travel 25% of the time OCONUS

Preferred Qualifications

  • Experience supporting AI/ML platforms, MLOps workflows, or dataintensive systems.
  • Background with highspeed networking (InfiniBand, data plane acceleration, or HPC fabrics).

Clearance

  • An active TS/SI is required

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