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Data Optimisation Jobs in Florida (NOW HIRING)

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

Optimizing data systems and building them from the ground up. In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and ...

Samprasoft

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Proficient in designing and optimizing fact and dimension table models. Demonstrated ability to design, develop, and maintain data pipelines and workflows. Strong skills in formulating, reviewing ...

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

UNCOMN

Data Engineer 2-3 (Associate/Mid-Level)

Tampa, FL · On-site

$77K - $110K/yr

Familiarity with data modeling, warehousing, and lakehouse architectures, with knowledge of data optimization, governance, security, and compliance best practices. * Excellent problem-solving ...

Connective Business Solution

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

General Characteristics Responsible for enterprise-wide data design, balancing optimization of data access with batch loading and resource utilization factors. Knowledgeable in most aspects of ...

Qode

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms. Responsibilities: * Design, develop, and maintain scalable ...

Connective Business Solution

Data Architect

Tallahassee, FL · On-site

$60.50 - $78/hr

General Characteristics Responsible for enterprise-wide data design, balancing optimization of data access with batch loading and resource utilization factors. Knowledgeable in most aspects of ...

Stellar IT Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month contract Role Overview We are seeking a Data Engineer to support the Finance and BI teams by automating and optimizing data ...

Amerilife Group, LLC

Data Scientist

Clearwater, FL · On-site

Experience optimizing models for business ROI; exposure to reinforcement learning or advanced optimization Databricks Platform & Data Engineering Required * Strong Python proficiency for data ...

AmeriLife Group, LLC

Data Scientist

Clearwater, FL · On-site

Experience optimizing models for business ROI; exposure to reinforcement learning or advanced optimization Databricks Platform & Data Engineering Required * Strong Python proficiency for data ...

Programmers.io

Data Analyst

Tampa, FL · On-site

The role involves designing, building, and optimizing scalable data pipelines, enabling analytics and AI use cases, and collaborating closely with data science and business teams in large scale ...

Guru Schools

Data Architect

Tallahassee, FL · On-site

$55.25 - $71/hr

Performance Optimization: * Continuously optimize ETL jobs to minimize latency and maximize throughput. and * Ensure the architecture supports fast, reliable data access for end-users and systems ...

GSPANN Technologies

Senior Data Modeler

Orlando, FL · On-site

Updating and optimizing local and metadata models. Evaluating implemented data systems for ... variances, discrepancies, and efficiency. Troubleshooting and optimizing data systems. Working at ...

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All JobsData Optimisation JobsData Optimisation Jobs in Florida

Data Optimisation information

What are the most common challenges faced in a Data Optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

Is 40 too late for data science?

Data optimisation professionals and data scientists can enter the field at any age, as skills such as programming, statistical analysis, and machine learning are learnable through online courses and certifications. While some roles may prefer recent experience, many organizations value diverse backgrounds and lifelong learning, making age less of a barrier in this field.

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

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are less likely to be fully replaced by AI in the near future.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are popular job titles related to Data Optimisation jobs in Florida? For Data Optimisation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Optimisation jobs in Florida look for? The top searched job categories for Data Optimisation jobs in Florida are:
What cities in Florida are hiring for Data Optimisation jobs? Cities in Florida with the most Data Optimisation job openings:
Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in Florida as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Data Architect OBIS Modernization Project

Siritech Solutions Corp

Tallahassee, FL

$60.50 - $78/hr

Full-time

Posted 6 days ago

Job description

Total Required Experience in Years: Minimum 7+ Years (DBMS Management & ETL/Data Engineering), Minimum 3+ Years (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Purview)


Job Description:Seeking an experienced Data Architect to support enterprise data warehouse modernization initiatives through enterprise data architecture, logical and physical data modeling, ETL design, source-to-target mapping, governance, and data optimization activities. The ideal candidate should possess strong expertise in large-scale database systems, Azure-based data platforms, ETL engineering, SQL, Spark, Python, and Scala while supporting secure, compliant, and high-performing enterprise data solutions. This role requires hands-on experience designing Operational Data Stores (ODS), data warehouses, data marts, data lineage, metadata standards, governance procedures, and performance optimization while ensuring regulatory, security, privacy, and audit readiness requirements are met.


Key Responsibilities:

  • Define enterprise logical and physical data models for large-scale data environments
  • Develop source-to-target mappings and transformation strategies for enterprise systems
  • Design Operational Data Stores (ODS), data warehouses, and data mart structures
  • Establish data standards, metadata rules, naming conventions, and governance procedures
  • Define and maintain data quality rules, validation standards, and lineage processes
  • Lead enterprise data ingestion, transformation, and data distribution strategies
  • Optimize database performance, indexing, batch processing, error handling, and recovery strategies
  • Support high-performance ETL pipeline development and enterprise data integration
  • Partner with developers, analysts, architects, and stakeholders to align enterprise data architecture needs
  • Produce technical documentation for models, mappings, governance standards, and audit readiness


Additional Responsibilities:

  • Act as Subject Matter Expert (SME) for enterprise data architecture best practices
  • Advise teams on integration patterns, modeling strategies, and technology selection
  • Support regulatory, privacy, traceability, and compliance requirements
  • Maintain secure and compliant data governance frameworks including RBAC implementation
  • Complete department security awareness requirements and background verification activities
  • Support continuous improvements in enterprise data management and modernization efforts


Required Skills:

  • Minimum 7 years managing large and complex DBMS environments
  • Minimum 7 years of ETL development and data engineering experience
  • Minimum 3 years of hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Purview
  • Strong SQL development and optimization expertise
  • Experience building scalable and high-performance ETL pipelines
  • Expertise in Spark, Python, and/or Scala for data processing
  • Strong understanding of Azure data governance, RBAC, and security protocols
  • Experience implementing secure, compliant ETL and enterprise data solutions
  • Strong enterprise data modeling, lineage, governance, and optimization experience


Qualifications:

  • Strong expertise in enterprise data architecture and modernization initiatives preferred
  • Experience advising teams on data modeling, architecture, and integration strategies preferred
  • Experience supporting secure, regulated, or compliance-driven environments preferred
  • Strong documentation, governance, and stakeholder collaboration skills preferred
  • Experience with AWS warehouse environments, AWS S3, and Data Sync preferred
  • Knowledge of compliance frameworks involving CJI, HIPAA, and PII preferred


Certifications:

  • Microsoft Azure Data Engineer Associate preferred
  • Azure Solutions Architect Expert preferred
  • Azure Fundamentals preferred
  • Databricks Data Engineer Associate preferred