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Data Optimisation Jobs in Orlando, FL (NOW HIRING)

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 ...

Data Engineer

Orlando, FL · Hybrid

$50 - $65/hr

Optimization & Performance: Tune ETL jobs and SQL queries for maximum performance and scalability to seamlessly handle big data workloads. * Maintenance & Troubleshooting: Proactively monitor ...

New

... optimization. You will own the end-to-end analytics lifecycle, including data preparation, model development, evaluation, and communicating insights to business stakeholders in a clear and actionable ...

Data Scientist

Orlando, FL · On-site

$75 - $110/hr

... optimization, and operational planning * Build time series models and predictive analytics ... Prepare, clean, and transform raw data into structured datasets suitable for statistical modeling ...

Data Scientist

Orlando, FL · On-site

$107K/yr

In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve ...

Data Engineer

Lake Mary, FL · On-site

$55 - $65/hr

... optimization, standardization, and best practices in reporting solutions • Proactively ensure reporting accuracy and data quality, identifying and resolving issues before they impact users • ...

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

Performance Optimization: Identify opportunities to enhance data processing efficiency, optimize data workflows, and improve overall system performance using Informatica's performance tuning ...

Data Architect

Orlando, FL · On-site

$160K - $180K/yr

Engine scalable data pipelines, enterprise integration workflows, and modern cloud storage ... optimal designs. * Communicate intricate technical concepts clearly to both engineering ...

The position focuses on driving data quality, governance, and continuous optimization to deliver reliable and measurable audience use cases that inform marketing strategy.Key Responsibilities*

Do you eat, sleep, and breathe data? Do you love analyzing the numbers and connecting the dots? Are ... Solid knowledge and experience with SEO and digital marketing tools/channels * Excellent listening ...

New

Sr. Data Analyst

Orlando, FL · On-site

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... ARIMA, Prophet, LSTM), optimization techniques, and probabilistic models to analyze large, complex ...

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Data Optimisation information

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 the key skills and qualifications needed to thrive as a data optimisation specialist?

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 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.

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 data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

What are popular job titles related to Data Optimisation jobs in Orlando, FL?

For Data Optimisation jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Data Optimisation jobs in Orlando, FL look for?

The top searched job categories for Data Optimisation jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Data Optimisation jobs?

Cities near Orlando, FL with the most Data Optimisation job openings:

Infographic showing various Data Optimisation job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

$106K - $128K/yr

Contractor

Re-posted 28 days ago


Job description

Overview:
Data Engineer
Location: 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 pipelines within a Snowflake environment. The role will focus on converting manually executed SQL processes into scalable, scheduled workflows using Azure Data Factory (ADF), ensuring reliable and efficient data delivery across critical reporting systems.
Key Responsibilities
  • Design, build, and maintain ADF pipelines to orchestrate and automate data workflows.
  • Convert existing manual SQL/Snowflake processes into scheduled, production-ready jobs.
  • Integrate and manage data flows between Epic Clarity, Snowflake, and Azure environments.
  • Modify and optimize Snowflake tables and queries to meet evolving business needs.
  • Collaborate with BI and Finance teams to support reporting and analytics requirements.
  • Ensure pipeline performance is scalable, reliable, and efficient.
Required Skills
  • Strong proficiency in SQL and data engineering fundamentals.
  • Hands-on experience with Snowflake (tables, queries, optimization).
  • Expertise in Azure Data Factory (ADF) - pipeline creation, scheduling, orchestration.
  • Experience working in Azure cloud environments.
  • Familiarity with Epic Clarity (Epic's SQL-based reporting database).

Skills:
ADF pipelines,sql,snowflake,azure