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Data Ops Engineer Jobs in Florida (NOW HIRING)

Paysafe

Director, Data Engineering

Jacksonville, FL · On-site

Engineering Excellence & Data Ops * Champion engineering rigor through Data Ops , automation, CI/CD for data workloads, metadata management, and observability. * Drive improvements in data quality ...

CliftonLarsonAllen

Lead ML Ops engineer

Naples, FL

$96K - $127K/yr

Degree in computer science, data science, or related field preferred. Technical Competencies ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

Cliftonlarsonallen

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

Degree in computer science, data science, or related field preferred. Technical Competencies ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

CLA (CliftonLarsonAllen)

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $125K/yr

Preferred : • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred. • Supervisory experience preferred. • Degree in computer science, data ...

CLA (CliftonLarsonAllen)

Lead ML Ops engineer

Naples, FL · On-site

$96K - $127K/yr

Preferred : • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred. • Supervisory experience preferred. • Degree in computer science, data ...

Cliftonlarsonallen

Lead ML Ops Engineer

Naples, FL

$96K - $127K/yr

Degree in computer science, data science, or related field preferred. Technical Competencies ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

CLA (CliftonLarsonAllen)

Lead ML Ops engineer

Orlando, FL · On-site

$95K - $125K/yr

Preferred : • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred. • Supervisory experience preferred. • Degree in computer science, data ...

CliftonLarsonAllen

Lead ML Ops engineer

Orlando, FL

$95K - $126K/yr

Degree in computer science, data science, or related field preferred. Technical Competencies ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

CLA (CliftonLarsonAllen)

Lead ML Ops Engineer

Naples, FL · On-site

$96K - $127K/yr

Preferred : • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred. • Supervisory experience preferred. • Degree in computer science, data ...

GeniusRx

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

Work together with stakeholders from marketing, pharmacy ops, engineering, and product to understand how the data works, where it comes from, and where it needs to go. * Interface with other ...

Airlines Reporting Corporation

Data Engineer IV

Tampa, FL · On-site

$108K - $129K/yr

... Ops teams. * Technology Evaluation : Explore, investigate, and recommend innovative tools ... engineering and data engineering. Recommend and implement new tools and technologies.

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All JobsData Ops Engineer JobsData Ops Engineer Jobs in Florida

Data Ops Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data ops engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data ops 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 are Data Ops Engineers?

Data Ops Engineers are professionals who bridge the gap between data engineering and operations. They focus on automating, monitoring, and optimizing data pipelines to ensure reliable, efficient, and secure data flow within organizations. Their responsibilities often include managing data integration, workflow orchestration, deployment of data infrastructure, and implementing best practices for data quality and governance. Data Ops Engineers work closely with data scientists, analysts, and IT teams to support data-driven decision-making and maintain high data availability. Their role is crucial in modern organizations that rely on large-scale data processing and analytics.

What are the key skills and qualifications needed to thrive as a Data Ops Engineer, and why are they important?

To thrive as a Data Ops Engineer, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or related field. Experience with tools like Apache Airflow, Docker, Kubernetes, CI/CD pipelines, and proficiency in scripting languages such as Python or Bash is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with data teams and troubleshoot complex data workflows. These skills ensure reliable data delivery, streamlined operations, and scalable solutions that support organizational data goals.

What is the difference between Data Ops Engineer vs Data Engineer?

AspectData Ops EngineerData Engineer
CredentialsCertifications in data management, cloud platforms, scriptingCertifications in data engineering, SQL, cloud services
Work EnvironmentFocus on data pipelines, automation, deployment, and monitoringFocus on data modeling, ETL processes, database design
Industry UsageUsed in organizations emphasizing data operations, automation, and DevOps practicesUsed in data-centric roles focusing on building data infrastructure

While both roles work with data infrastructure, Data Ops Engineers primarily focus on automating and managing data pipelines and deployment processes, whereas Data Engineers concentrate on designing and building data systems. The roles often overlap but differ in their core focus areas and responsibilities.

How does a Data Ops Engineer typically collaborate with data scientists and software engineers within an organization?

Data Ops Engineers play a crucial role in bridging the gap between data science and engineering teams. They ensure smooth data pipeline operations, help automate workflows, and support data scientists by providing reliable, scalable infrastructure. Collaboration often involves participating in cross-functional meetings to understand data requirements, troubleshooting data quality issues, and implementing solutions that enable efficient experimentation and model deployment. This collaborative environment helps facilitate quick iterations and reliable delivery of data products.
What are popular job titles related to Data Ops Engineer jobs in Florida? For Data Ops Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Ops Engineer jobs in Florida look for? The top searched job categories for Data Ops Engineer jobs in Florida are:
Data Ops Engineer jobs near you
Infographic showing various Data Ops Engineer job openings in Florida as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 36% Part Time, and 1% Temporary. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Director, Data Engineering

Paysafe

Jacksonville, FL • On-site

Full-time

Posted 10 days ago

Job description

Paysafe is a global payments platform powering the experience economy, with a strong focus on the iGaming, video gaming, e-commerce, retail, travel and hospitality sectors. With 30 years of expertise in payment technology, Paysafe helps businesses and consumers lift every experience through seamless, secure payment solutions, including card payments, digital wallets such as Skrill, eCash solutions like PaysafeCard, and a suite of local payment methods. With approximately 2,900 employees across 12 countries and annualized transactional volume of $167 billion in 2025, Paysafe connects people and businesses worldwide through innovative digital payment experiences.
Paysafe is seeking an accomplished and visionary Director of Data Engineering (Individual Contributor) to drive the technical strategy, architecture, and delivery of next-generation data platforms and analytics solutions. Based in Jacksonville, Florida, this role operates as a senior hands-on technical leader working across globally distributed teams in India, the United Kingdom, and the United States.
Reporting to the VP, Data Engineering and Reporting, this role is responsible for defining enterprise data platform direction, ensuring architectural excellence, and leading complex technical initiatives from design through execution. You will partner closely with leaders across Product, Enterprise Architecture, Analytics, Security, Risk, Compliance, and Operations to align data engineering solutions with business priorities and regulatory requirements.
This is a highly visible Director-level individual contributor role, combining deep technical expertise with strategic influence, focused on evolving scalable, cloud-native data platforms that support Paysafe's global payments ecosystem.
Key Responsibilities:
Technical & Architectural Leadership
  • Serve as a senior technical authority for data engineering and data platform architecture across the enterprise.
  • Own the design and implementation of complex, large-scale data platforms and pipelines.
  • Lead by example through hands-on architecture, design reviews, technical problem solving, and selective coding.

Data Platform Strategy
  • Translate business and analytical objectives into a clear, actionable data engineering and platform strategy.
  • Define and influence the technical roadmap for cloud-native data platforms leveraging AWS, Azure, Snowflake, Databricks, and emerging technologies.
  • Drive alignment to enterprise data architecture standards and best practices.

Architectural Excellence
  • Provide architectural governance and technical leadership across:
    • AWS (S3, Iceberg, Glue, Lambda, Lake Formation, EMR, Redshift)
    • Modern ELT/ETL frameworks (dbt, Airflow)
    • Azure Data Factory
    • Snowflake and Databricks ecosystems
  • Ensure platforms are secure, scalable, cost-efficient, and resilient.

Platform Engineering & Delivery
  • Lead the design, build, and optimization of batch and real-time data pipelines supporting analytics, regulatory reporting, payments processing, and real-time decisioning.
  • Ensure high availability, performance, reliability, and observability across global data environments.
  • Act as an escalation point for complex technical and production issues.

Engineering Excellence & Data Ops
  • Champion engineering rigor through Data Ops, automation, CI/CD for data workloads, metadata management, and observability.
  • Drive improvements in data quality, reliability, delivery consistency, and operational maturity.
  • Establish reusable patterns, frameworks, and standards to accelerate delivery.

Cross-Regional Collaboration
  • Work closely with globally distributed engineering teams to ensure consistent technical standards and platform practices.
  • Provide technical mentorship and guidance without direct people management responsibility.
  • Foster strong collaboration across regions and functions.

Partner & Influence
  • Build strong partnerships with Product, Enterprise Architecture, Analytics, Security, Legal, Risk, Compliance, and Operations.
  • Influence enterprise-level technical decisions through expertise and thought leadership.
  • Represent data engineering in architecture reviews and strategic initiatives.

Metrics & Continuous Improvement
  • Define and track technical KPIs related to data quality, platform reliability, performance, and cost efficiency.
  • Use data-driven insights to continuously improve platform outcomes.

Strategic Communication
  • Clearly communicate platform strategy, architecture decisions, risks, and progress to senior leadership.
  • Serve as a trusted advisor on data platform modernization and transformation initiatives.

Technology Evolution
  • Lead modernization efforts including cloud migration, adoption of open table formats (e.g., Iceberg), and data democratization for analytics and machine learning.
  • Ensure platforms meet evolving requirements for global payments, compliance, and real-time intelligence.

Qualifications
  • 12+ years of experience in data engineering, data architecture, or platform engineering.
  • Demonstrated success operating at a Director or Principal-level individual contributor capacity on enterprise-scale platforms.
  • Bachelor's degree in computer science, Engineering, Information Systems, or a related technical field.

Technical Expertise
  • Deep hands-on experience with:
    • AWS (S3, Glue, Lake Formation, EMR, Iceberg, Redshift, Lambda)
    • Azure Data Factory
    • Snowflake and Databricks
  • Strong proficiency in Python, Spark, dbt, Airflow, and modern ELT/ETL frameworks.
  • Extensive solution architecture experience governing complex, enterprise data ecosystems.
  • Strong Agile delivery experience (Scrum, SAFe).
  • Exceptional communication and influence skills with executive and senior technical stakeholders.
  • Passion for building scalable, reliable, and high-quality data platforms.

Scope of Responsibility
The Director of Data Engineering (Individual Contributor) is accountable for the technical direction, architecture, and delivery of cloud-native data platforms across India, the United Kingdom, and the United States. This role focuses on platform modernization, engineering excellence, and enterprise alignment, serving as a strategic technical partner to senior leadership while remaining deeply engaged in hands-on execution.
Life at Paysafe:
One network. One partnership. At Paysafe, this is not only our business model; this is our mindset when it comes to our team. Being a part of Paysafe means you'll be one of over 3000 members of a world-class team that drives our business to new heights every day and where we are committed to your personal and professional growth.
Our culture values humility, high trust & autonomy, a desire for excellence and meeting commitments, strong team cohesion, a sense of urgency, a desire to learn, pragmatically pushing boundaries, and accomplishing goals that have a direct business impact.
Equal Employment Opportunity
Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments please let us know. We will be happy to help and look forward to hearing from you.

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