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Data Operations Jobs in Florida (NOW HIRING)

MAXhealth

Data Engineer- Greater Tampa

Tampa, FL · On-site

$104K - $125K/yr

Exposure to CI/CD practices and Azure DevOps * Experience working in healthcare, payer, provider ... Data Integration & Pipeline Development * Develop and maintain data pipelines using Azure Data ...

MAXhealth

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

Exposure to CI/CD practices and Azure DevOps * Experience working in healthcare, payer, provider ... Data Integration & Pipeline Development * Develop and maintain data pipelines using Azure Data ...

Hut 8

Principal, Data Scientist

Miami, FL · On-site

Partner with Data Operations and Software Engineering to improve ingestion, transformation, integration, monitoring, governance, and lifecycle management. * Prepare and maintain enterprise data for ...

CIG COMPANIES SERVICES

Head of Data & AI

Orlando, FL · On-site

Oversee development and operation of data platforms (data lake/warehouse), BI dashboards, and advanced analytics models. * Lead AI/ML initiatives such as predictive maintenance, demand forecasting ...

Magnifica Air

Head of Data & AI

Orlando, FL · On-site

... operation of data platforms (data lake/warehouse), BI dashboards, and advanced analytics models. • Lead AI/ML initiatives such as predictive maintenance, demand forecasting, fraud detection, data ...

Jj

Director, SC Data

Palm Beach Gardens, FL · On-site

Therole requires strong business partnership, data leadership, andpeopleleadership to advance data-driven decision making and operational excellence across the global supply chain. Key ...

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All JobsData Operations JobsData Operations Jobs in Florida

Data Operations information

See Florida salary details

$38.9K

$96K

$149.5K

How much do data operations jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data operations in Florida is $96,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $122,200.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in data operations, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

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

The most popular types of Data Operations jobs in Florida are:

What are popular job titles related to Data Operations jobs in Florida?

For Data Operations jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Operations jobs in Florida look for?

The top searched job categories for Data Operations jobs in Florida are:

Data Operations jobs near you
Infographic showing various Data Operations job openings in Florida as of September 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 83% In-person, 3% Hybrid, and 14% Remote job distribution, with an average salary of $96,046 per year, or $46.2 per hour.

Client Support Specialist - Market Data

Jacksonville, FL • On-site

Intercontinental Exchange Holdings, Inc.
Finance and Insurance • 5 - 10K employees
Learn more about Intercontinental Exchange Holdings, Inc.external

Other

Posted 12 days ago

Job description

Client Support Specialist

ICE Data Services, a leading provider of financial market data, is seeking a dynamic Client Support Specialist to join our team. This role is a key part of our global, front-line support organization, delivering high-quality technical support, financial data, and client service to customers worldwide. The position involves troubleshooting client inquiries and collaborating closely with internal teams and stakeholders to ensure timely and effective resolution.

The ideal candidate brings a strong combination of technical expertise, client-facing experience, and an understanding of financial markets. This role requires working closely with global clients and cross-functional support teams on a broad range of critical activities to ensure a seamless and high-quality client experience.

Work Hours: 9:30 am to 6:00 pm EST

Responsibilities

  • Troubleshoot and resolve client issues efficiently using internal tools, knowledge bases, and financial data knowledge to identify root causes
  • Accurately log, track, and manage all client interactions and case details within the CRM system (Salesforce)
  • Identify and escalate complex, high-impact, or systemic issues to appropriate internal teams, ensuring timely follow-up and clear client communication
  • Support first-contact resolution goals while maintaining high standards of client service and satisfaction
  • Analyze data to validate issues, identify discrepancies, and support resolution efforts
  • Partner with cross-functional teams to drive issue resolution and improve client outcomes
  • Contribute to updating documentation, workflow mapping, and continuous improvement initiatives across client support and data operations
  • Assist in data validation, reconciliation, and quality assurance efforts to ensure accuracy and reliability of financial datasets

Preferred Knowledge and Experience

  • Bachelor's degree in Business, Finance, Economics, Information Technology, or a related field
  • 2+ years of experience in client support, data operations, or financial services preferred
  • Exceptional written and verbal communication skills in English with the ability to clearly convey technical and non-technical information to diverse audiences
  • Strong organizational and time management skills with the ability to prioritize competing tasks and meet deadlines in a fast-paced environment
  • Proven ability to collaborate across teams and adapt quickly in a dynamic, global environment
  • Strong analytical and problem-solving capabilities, particularly in diagnosing data and system-related issues
  • Experience working with CRM or ticketing systems (e.g., Salesforce, ServiceNow)
  • Client-focused mindset with a proactive, detail-oriented approach to issue resolution
  • Proficiency in Microsoft Office Suite, with advanced skills in Excel (data analysis, pivot tables, lookups, etc.)
  • Demonstrate strong familiarity with financial markets and data terminology, including fixed income, equities, derivatives, and market data concepts; effectively interpret and support instrument-level data in a client-facing environment
  • Demonstrate proficiency with AI tools and workflows beyond basic productivity use, including applying AI to automate processes, analyze data, and develop practical business solutions

Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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