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Data Platform Engineer Jobs in Florida (NOW HIRING)

$88K - $115K/yr

Support the enablement and integration of structured and unstructured data sources, cloud-native AI services, APIs, and enterprise platforms to facilitate scalable AI solution delivery. * Stay ...

WellDyne is seeking a Lead Data Engineer to design, build, and maintain the organization's enterprise data platform. This role involves leading technical implementation of data pipelines, warehouses ...

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location: Melbourne, FL or Remote Opportunity Job Schedule ... This position will support the company's modern data platform, Unified Data Layer, focusing on data ...

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location: Melbourne, FL or Remote Opportunity Job Schedule ... This position will support the company's modern data platform, Unified Data Layer, focusing on data ...

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location: Melbourne, FL or Remote Opportunity Job Schedule ... This position will support the company's modern data platform, Unified Data Layer, focusing on data ...

AI Platform Production Engineer At BNY, our culture allows us to run our company better and enables ... Build robust monitoring, alerting, and observability across infrastructure, data pipelines, and ...

Sr. Staff Software Engineer- Data

Sunrise, FL · On-site

$109K - $131K/yr

UKG is seeking a highly skilled and experienced engineer to join our Data Platform team. This role requires a self-motivated individual with a deep understanding of Data Warehouse, Near-real time ...

AI Platform Production Engineer At BNY, our culture allows us to run our company better and enables ... Build robust monitoring, alerting, and observability across infrastructure, data pipelines, and ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

... with Platform Engineering, for tenant-level administration. * Collaborate with the Architecture ... Ensure data security and compliance, including role-based access controls for security, encryption ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Showing results 41-60

Data Platform Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data platform engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data platform 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 the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the most commonly searched types of Data Platform Engineer jobs in Florida? The most popular types of Data Platform Engineer jobs in Florida are:
What job categories do people searching Data Platform Engineer jobs in Florida look for? The top searched job categories for Data Platform Engineer jobs in Florida are:
What cities in Florida are hiring for Data Platform Engineer jobs? Cities in Florida with the most Data Platform Engineer job openings:
Infographic showing various Data Platform Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Enterprise Data & Platform Security Analyst

Strategic Staffing Solutions

Lutz, FL • Hybrid

$60K - $80K/yr

Other

Medical, PTO

Posted 13 days ago


Job description

Job Description Enterprise Data & Platform Security Analyst Location: Lutz, FL (Hybrid - 3 days onsite / 1 day remote) Contract Salary: $60,000-$80,000 annually Benefits: 16 accrued PTO days, paid client holidays, medical benefits available Schedule: Tuesdays and Thursdays onsite (additional onsite day as required) Employment Type: W2 Only (No C2C or 1099) Work Authorization: Must be a U.S. Citizen or Green Card Holder Position Concept The Enterprise Data & Platform Security Analyst protects sensitive data across endpoints, networks, cloud services, and enterprise platforms by designing, implementing, and operating data protection controls. This role partners with Security, Infrastructure, Application, Legal, Privacy, and business teams to reduce the risk of data loss, improve governance, support regulatory compliance, and strengthen the organization's overall security posture

The role is also responsible for building and scaling security engineering capabilities across cloud infrastructure, identity systems, data services, Kubernetes and container platforms, CI/CD pipelines, secrets management, and platform observability. Primary Duties & Responsibilities 1. Enterprise Data Protection (30%) Design and lead enterprise-scale data protection strategies across on-premises, cloud, SaaS, and hybrid environments.

Define policy architecture, control objectives, and implementation patterns for: Data classification Encryption Retention Tokenization Data exfiltration prevention Drive roadmap planning, vendor evaluations, and continuous improvement initiatives for data protection platforms. 2. Secure Platform Architecture (25%) Define secure architecture patterns and engineering guardrails for: Kubernetes Containers Virtual infrastructure Storage platforms Managed cloud services APIs Infrastructure-as-Code (IaC) pipelines 3.

Incident Response & Investigations (10%) Lead complex incident investigations involving: Sensitive data exposure Insider risk Control breakdowns Coordinate remediation strategies and security architecture improvements across infrastructure, cloud, application, and data teams. Drive incident response activities including forensic coordination, containment recommendations, lessons learned, and control enhancements. 4.

Security Assessments (10%) Lead security assessments, threat analysis, and control design reviews for: Enterprise platforms Cloud environments Databases Middleware Business-critical applications Own vulnerability and misconfiguration investigations, prioritizing based on exploitability, business risk, and compensating controls. 5. Governance & Risk Communication (10%) Translate business, legal, privacy, and regulatory requirements into practical technical and operational controls.

Provide concise risk communication, metrics, and executive-ready summaries to leadership and governance stakeholders. 6. Standards & Continuous Improvement (10%) Develop and improve standards, baselines, playbooks, and security procedures for enterprise services and data platforms.

Develop dashboards, metrics, and trend analysis to measure policy effectiveness and risk reduction. 7. Technical Leadership (5%) Provide technical leadership, mentoring, and quality oversight for analysts and specialists at earlier career stages.

Knowledge, Skills & Abilities Required Deep understanding of cybersecurity principles including: Confidentiality Integrity Availability Least privilege Defense in depth Strong knowledge of: Data protection Networking Operating systems Cloud fundamentals Enterprise threat vectors Deep familiarity with enterprise environments, ticketing systems, and documentation practices. Experience with SIEM, DLP, or endpoint monitoring tools. Ability to review and interpret logs from: Active Directory VPN Endpoint security platforms Cloud environments Ability to independently investigate complex security incidents, build timelines, gather evidence, and document findings.

Ability to communicate technical findings to executive leadership through risk summaries and recommendations. Ability to manage multiple priorities in a fast-paced environment. Experience mentoring junior analysts and collaborating with HR, Legal, IT, Compliance, and business teams.

Excellent analytical, organizational, written, and verbal communication skills. Experience Minimum 5 years of Cybersecurity, Information Security, or related IT experience. Hands-on technical experience may include networking, telecommunications, communications systems, hardware, software, or related technologies.

Education Substitutions The following may substitute for experience: Associate degree in Computer Science, Information Systems, or related IT field with 3 years of experience. Bachelor's degree in Computer Science, Information Systems, or related IT field with 1 year of experience. Up to one year of formal internship or co-op IT experience may count toward the experience requirement.