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Ibm Data Engineer Jobs in Florida (NOW HIRING)

Agile Enterprise Solutions

Data Modelling

Tampa, FL · On-site

... Healthcare, Engineering, Manufacturing, Logistics etc. We are with you every step of the way ... IBM BDW data model Ability to communicate strategies and processes around data modeling and ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... Experience analyzing IBM Mainframe environments (COBOL, JCL, DB2) . * Strong analytical ...

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Ibm Data Engineer information

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$33.3K

$96.9K

$132.6K

How much do ibm data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ibm data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What is an IBM data engineer?

An IBM Data Engineer is responsible for designing, building, and managing data pipelines and architectures to support data-driven decision-making. They work with data integration, ETL processes, cloud platforms, and big data technologies to ensure efficient data flow. IBM Data Engineers collaborate with data scientists, analysts, and business stakeholders to optimize data accessibility and performance. Their role often involves using IBM technologies such as IBM Cloud, Db2, and Watson Studio to implement scalable data solutions. Strong skills in SQL, Python, and data modeling are essential for success in this role.

What does an IBM data engineer do?

As an IBM Data Engineer, your daily responsibilities often include designing and building data pipelines, integrating data from various sources, and ensuring the reliability and quality of data architecture. You may work closely with data scientists, analysts, and business stakeholders to understand requirements and optimize data workflows. Regular tasks involve maintaining and troubleshooting ETL processes, performing data validation, and documenting solutions. Collaboration within agile teams is common, and staying updated on IBM technologies and best practices is critical for ongoing success.

What are the key skills and qualifications needed to thrive as an IBM data engineer?

To thrive as an IBM Data Engineer, you need strong proficiency in data modeling, ETL processes, and SQL or Python programming, typically supported by a bachelor’s degree in computer science, engineering, or a related field. Expertise with IBM data tools like IBM DataStage, IBM Cloud Pak for Data, and knowledge of big data platforms such as Hadoop or Spark, along with relevant IBM certifications, are highly valuable. Effective problem-solving abilities, attention to detail, and collaboration skills help you excel in cross-functional teams and adapt to evolving project needs. These skills and qualities are essential for designing robust data pipelines and delivering reliable, enterprise-level data solutions.

Are IBM Data Engineers still in demand?

IBM Data Engineers are in demand as organizations continue to prioritize data management, analytics, and cloud integration. Skills in SQL, Python, and cloud platforms like IBM Cloud or AWS enhance job prospects in this field.
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Ibm Data Engineer jobs near you
Infographic showing various Ibm Data Engineer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Enterprise Cloud Engineer/Unix/GCP/Hybrid

Motion Recruitment

Boca Raton, FL • On-site

$52.75 - $70.50/hr

Other

Re-posted 15 days ago

Job description

Florida based contract-to-hire opportunity with an enterprise-scale organization operating a large, complex hybrid infrastructure environment spanning on-prem data centers and GCP. This is a hands-on platform engineering role focused on GCP (primarily Google Compute Engine), VMware virtualization, IBM Power Systems, and Linux-based workloads across a multi-platform architecture. The contract is structured as contract-to-hire with a 6-month initial term and up to 10% travel expected.
They need someone who can do more than keep the lights on. You will be translating architectural designs into production-ready infrastructure, driving automation across provisioning and configuration, and leading migrations between on-prem and cloud environments. If you are a platform engineer who thrives in hybrid, multi-platform environments and wants a path to a permanent seat at an enterprise with real infrastructure scale, this is worth a conversation.
Contract Duration: 6 months, contract-to-hire
Required Skills & Experience
  • 5-8+ years of experience in infrastructure engineering, cloud engineering, or platform operations
  • Hands-on experience with Google Cloud Platform (GCP), specifically Google Compute Engine (GCE)
  • Advanced experience with VMware technologies including vSphere, vCenter, and HCX for large-scale migrations
  • Hands-on experience with IBM Power Systems (Power Series) and PowerVM
  • Strong Linux administration skills across multiple distributions (RHEL, Ubuntu, SUSE)
  • Ability to implement automation across provisioning, patching, configuration management, and operational workflows
Desired Skills & Experience
  • RHEL, Unix, or cloud certifications (AWS, Azure, or GCP)
  • Exposure to multi-cloud strategies and cloud-to-cloud migrations
  • Ability to mentor junior engineers and drive engineering standards across a team
What You Will Be Doing
Tech Breakdown
  • 40% Google Cloud Platform (GCE, cloud-native infrastructure)
  • 25% VMware virtualization (vSphere, vCenter, HCX migrations)
  • 20% Linux OS engineering and lifecycle management
  • 15% IBM Power Systems and AIX workloads
Daily Responsibilities
  • 70% Hands On
  • 15% Team Collaboration
  • 15% Documentation and Standards

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