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Freelance Data Platform Engineer Jobs in Florida

WellDyne

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

WELLDYNE

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.

Metrc LLC

Director of Data Platform

Lakeland, FL · On-site

Role Overview The Director of Data Platform will lead a team of two data engineers and four BI specialists to deliver a robust data platform that serves external customers and internal cross ...

Data Meaning

Lead Data Architect

Boca Raton, FL · On-site +1

$190/hr

The position will work closely with the client's engineering teams and internal Data Meaning consultants, leading knowledge transfer sessions, architecture walkthroughs, and platform transition ...

DTCC

Lead Platform Engineer

Tampa, FL · On-site

$93K - $122K/yr

The Data Quality & Data Hub Platforms Engineering team is responsible for platform engineering activities for critically important Data Quality and Data Hub platforms. Data Quality and Data Hub ...

WellDyne

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

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

Dlapiper

Data Engineer

Miami, FL

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data Platform & Storage * Design and implement data pipelines using Azure data technologies (e.g ...

ONE ALLIANCE INSURANCE MANAGERS INC

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The Data Engineer will play a critical role within the Information Technology organization ... Data Platform Implementation: Architect, design, and implement a scalable, on-prem or cloud-based ...

Fifth Third

$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 ...

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Freelance Data Platform Engineer information

How do freelance data platform engineers typically manage collaboration with clients and remote teams?

Freelance Data Platform Engineers often collaborate with clients and distributed teams using project management tools, version control systems, and regular virtual meetings. Clear communication is essential for aligning on data requirements, setting expectations, and providing progress updates. It's common to work asynchronously, so documenting work and maintaining transparent workflows help ensure smooth handoffs. Building trust and reliability is key to fostering long-term client relationships in a freelance setting.

What are the key skills and qualifications needed to thrive as a freelance data platform engineer?

To thrive as a Freelance Data Platform Engineer, you need strong skills in data architecture, ETL processes, and cloud platform management, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Spark, AWS, Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valuable. Effective client communication, problem-solving, and project management skills help you stand out, especially when coordinating independently with multiple stakeholders. These competencies ensure you can design scalable solutions, deliver projects efficiently, and build strong client relationships in a dynamic freelance environment.

What is a freelance data platform engineer?

A Freelance Data Platform Engineer is a professional who designs, builds, and maintains data infrastructure and platforms on a project or contract basis, rather than as a full-time employee. They work with clients to develop scalable and efficient data solutions, such as data warehouses, ETL pipelines, and cloud-based data systems. Their responsibilities often include integrating various data sources, ensuring data quality, and optimizing data workflows to support analytics and business intelligence. Freelance Data Platform Engineers typically have expertise in databases, cloud services, programming, and data architecture. They offer flexibility and specialized skills to organizations that need temporary or project-based support.

What is the difference between Freelance Data Platform Engineer vs Data Engineer?

AspectFreelance Data Platform EngineerData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure), technical skillsSimilar certifications, technical skills, often full-time roles
Work EnvironmentIndependent, project-based, remote or on-siteFull-time, in-house or remote
Employer & Industry UsageFreelance platforms, consulting firms, startupsTech companies, finance, healthcare, large enterprises
Search & Comparison IntentYes, for freelance opportunities or project-based workYes, for full-time or contract roles

In summary, Freelance Data Platform Engineers typically work independently on short-term projects, requiring similar skills and certifications as Data Engineers but with a focus on flexibility and client-based work. Data Engineers often work full-time within organizations, focusing on building and maintaining data infrastructure.

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 are popular job titles related to Freelance Data Platform Engineer jobs in Florida?

For Freelance Data Platform Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Freelance Data Platform Engineer jobs in Florida look for?

The top searched job categories for Freelance Data Platform Engineer jobs in Florida are:

What cities in Florida are hiring for Freelance Data Platform Engineer jobs?

Cities in Florida with the most Freelance Data Platform Engineer job openings:

Freelance Data Platform Engineer jobs near you
Infographic showing various Freelance Data Platform Engineer job openings in Florida as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Lead Data Engineer

WellDyne

Lakeland, FL • On-site

$106K - $127K/yr

Full-time

Re-posted 23 days ago

WellDyne rating

5.5

Company rating: 5.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Summary
The Lead Data Engineer will design, build, and maintain the organization’s enterprise data platform, leading the technical implementation of data pipelines, warehouses, and analytics infrastructure that powers business intelligence, reporting, and advanced analytics across the PBM and Pharmacy organization. This hands-on technical leadership role sets data engineering standards, mentors team members, and partners with business and technology stakeholders to deliver trusted, well-governed, and timely data products.
  • Essential Duties and Responsibilities
  • Data Platform Engineering:
  • Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources.
  • Develop and maintain the enterprise data warehouse, data lake, and analytical data models that serve reporting and analytics use cases.
  • Design data services and event-driven integration patterns that enable scalable downstream consumption by analytics platforms, operational systems, APIs, and AI-enabled applications.
Technical Leadership:
  • Serve as the senior technical authority for data engineering, setting standards for code quality, pipeline design, data modeling, and testing across the team.
  • Lead technical planning for data engineering initiatives, breaking work into well-scoped tasks and coordinating delivery across team members.
  • Mentorship and Collaboration:
  • Provide technical direction and code review for data engineers, ensuring consistency, quality, and adherence to standards.
  • Participate in hiring and onboarding of data engineering team members, including technical interviews and skills assessments.
  • Mentor data engineers across all levels, fostering a culture of technical excellence, knowledge sharing, and continuous improvement.
Data Architecture and Modeling:
  • Partner with the Architecture team to define and implement data architecture, including data warehouse models, data lake structures, and integration patterns.
  • Apply dimensional modeling, normalization, and modern data modeling techniques (e.g., Kimball, Data Vault) to support analytics and reporting requirements.
Performance and Reliability:
  • Optimize query performance, storage costs, and pipeline runtime across the data platform.
  • Implement observability, monitoring, and alerting for production data pipelines, and partner with operations to ensure timely incident response.
  • Identify reliability, data quality, and performance risks and develop mitigation strategies to ensure platform stability and data trustworthiness.
Data Governance and Compliance:
  • Implement controls to ensure compliance with HIPAA, PHI/PII handling, and other regulatory requirements applicable to the healthcare and pharmacy sectors.
  • Partner with security and compliance teams on access control, encryption, audit logging, and data lineage for sensitive data assets.
  • Design and enable scalable, governed data access patterns that support AI/ML systems, intelligent automation, and emerging agentic workflows, including structured, semantic, and real-time data consumption patterns.
Business Partnership:
  • Partner with analytics, business intelligence, and product teams to understand data needs and deliver fit-for-purpose datasets, models, and pipelines.
  • Translate business and reporting requirements into well-designed technical data engineering solutions.
Tooling and Innovation:
  • Evaluate and recommend new data engineering tools, frameworks, and cloud services that improve productivity, scalability, or cost-efficiency.
  • Stay current on advances in cloud data platforms, lakehouse architectures, streaming technologies, and AI/ML data infrastructure.
Support and Troubleshooting:
  • Provide production support for critical data pipelines, participating in on-call rotations as needed.
  • Diagnose and resolve complex data quality, performance, and integration issues spanning multiple systems and platforms.
Operational Oversight:
  • Implement data quality validation, backup and recovery, and pipeline monitoring to ensure continuous data delivery.
  • Recommend tooling and infrastructure needed to support the enterprise data platform.
  • Prepare and review data platform health metrics, pipeline performance reports, and project status updates.
Documentation:
  • Implement and maintain metadata, lineage, cataloging, and semantic data definitions that improve discoverability, trust, and machine usability of enterprise data assets.
Education and Experience
  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field or relevant experience. Master’s degree in a relevant discipline preferred.
  • 8+ years of professional data engineering experience, with at least 2 years in a senior or technical lead capacity preferred.
  • Hands-on experience designing and operating enterprise data platforms in a healthcare, pharmaceutical, or Pharmacy Benefit Management environment preferred.
  • Prior experience implementing real-time data streaming pipelines that power reporting, dashboards, and operational visibility preferred.
Knowledge, Skills, and Abilities
  • Expert-level proficiency in SQL, Python, and modern data engineering frameworks (e.g., Spark, dbt, Airflow).
  • Deep experience with cloud data platforms (Snowflake, Databricks, Redshift, or BigQuery) and storage layers (S3, ADLS).
  • Strong understanding of data modeling, warehousing patterns (Kimball, Data Vault), and lakehouse architectures.
  • Strong understanding of regulatory standards affecting the healthcare and pharmacy sectors, including HIPAA.
  • Proficient in modern cloud platforms (AWS, Azure), CI/CD for data, and infrastructure-as-code tools (Terraform, CloudFormation).
  • Experience building data foundations for AI agents and RAG-based applications, including semantic modeling, metadata enrichment, vector-search integration, governed APIs/tools, and secure access patterns for machine-consumable enterprise data.
  • Familiarity with Microsoft Power BI, including semantic models, datasets, and enablement of self-service reporting and dashboards.
  • Familiarity with real-time and streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming, Flink) supporting reporting and operational visibility.
  • Excellent communication skills, capable of explaining technical concepts to both engineering and business stakeholders.
  • Ability to lead technical initiatives end-to-end while mentoring engineers and driving quality and reliability.
Work Environment / Physical Demands
This position is in a typical office environment which requires prolonged sitting in front of a computer. Requires hand-eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Some travel may be required.
EOE M/F/D/V

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