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Data Optimisation Jobs in Florida (NOW HIRING)

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 ...

Strong foundation in statistics, linear algebra, and optimization for model design and evaluation. * Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib.

Strong foundation in statistics, linear algebra, and optimization for model design and evaluation. * Experience creating insightful data visualizations using Tableau, Power BI, Plotly, or matplotlib.

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 ...

Data Engineer

Aventura, FL

$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 ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

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 ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Create and maintain optimal data pipeline architecture. • Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources.

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 ...

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 ...

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 ...

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

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

Responsibilities A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more ...

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 ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Responsibilities A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more ...

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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 science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and tools like Python or R are more important than age, and continuous learning can help overcome any age-related concerns.

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 require advanced skills in data management, analytics, and programming, along with leadership responsibilities.

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, communication, and domain knowledge that AI currently cannot fully replicate.

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:
Infographic showing various Data Optimisation job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Azure Cloud Data Engineer

Azure Cloud Data Engineer

ARC Group

Weston, FL • Remote

$108K - $130K/yr

Full-time

Re-posted 16 hours ago


Job description

AZURE DATA ENGINEER (REMOTE)
ARC Group has an immediate opportunity for an aspiring Azure / Cloud Data Engineer to join our global client's growing team of data experts. This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work authorization (no C2C).
The Azure Data Engineer is 100% remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud platform.
This is a fantastic opportunity to join a well-respected global leader in the supply chain / logistics space and allows for tremendous career growth potential. The company provides competitive salary, bonus, benefits, and room to grow.
AZURE DATA ENGINEER SUMMARY
  • You will be responsible for expanding and optimizing our Azure Data Lake, as well as optimizing the data flow and collection for cross-functional teams.
  • Building data pipelines as well as processing (transforming, aggregating, wrangling) data.
  • 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 will ensure that the optimal data delivery is consistent throughout ongoing projects.
  • In addition to the development of data solutions, you are accountable for the customer's Azure support experience driving resolution of complex critical problems from problem identification to full resolution, you will own and manage the customer/user experience and supporting key customer projects on Azure.
  • Your day-to-day job will be about providing both technical expertise and about being an excellent communicator and a service oriented professional. You will debug, troubleshoot, correct code, and help resolve business user's issues.
REQUIREMENTS/SKILLS:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics
  • 6+ years of experience of IT platform implementation in a highly technical and analytical role.
  • 2 to 4 years of recent professional experience with Data Management technologies
  • 2 years Azure Data Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks, Spark, and Data Explorer.
  • 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases.
  • Practical experience in Python and at least 1 of the following programming languages: Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++.
  • Experience building data ingestion pipelines for a cloud, with data consumable by business intelligence solutions (e. g. PowerBI) and/or data scientists.
  • Familiarity with the Azure cloud ecosystem, specifically with data intensive components like Azure Synapse, CosmosDB, Data Factory, Databricks.
  • Robust knowledge of cloud storage aspects (ADLS gen2)
  • Expertise in cloud security aspects
  • Routine command of observability approaches for the clouds: logging, monitoring, tracing.

Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com.
ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed.
ARC Group is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.