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Data Optimization 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 ...

TransPerfect

SEO Specialist

Miami, FL · Remote

They work alongside Sales to pitch digital marketing services and data-driven strategies to ... The SEO Specialist is strategic and data-driven, commercially minded and client-focused. They find ...

Lee Health

Senior SEO Specialist

Fort Myers, FL · On-site

$30.32 - $39.42/hr

The Senior SEO Specialist analyzes search behavior, monitors search performance, and provides ... Demonstrated ability to analyze search data and identify opportunities for organic traffic growth ...

Argon Agency

Local SEO Coordinator

West Palm Beach, FL · On-site

$18 - $25/hr

Perform data entry and maintain organized records related to SEO tasks and campaigns * Follow established SEO processes, checklists, and workflows * Support additional SEO tasks as needed, including ...

Allied Universal

Marketing Manager

Tampa, FL · On-site

Data Optimization * Maintain data integrity through ongoing data quality initiatives, duplicate management, data cleansing, validation rules, and data governance processes for effective campaign ...

Lee Health

Senior SEO Specialist

Fort Myers, FL · On-site

$30.32 - $39.42/hr

The Senior SEO Specialist analyzes search behavior, monitors search performance, and provides ... Demonstrated ability to analyze search data and identify opportunities for organic traffic growth ...

ProSites

Executive SEO Strategist

Pembroke Pines, FL · On-site +1

$64K - $110K/yr

Based on reporting data, build SEO strategy to keywords, content, linking and other factors to improve impressions, traffic, and conversion (ITC). * Track, report, and analyze website analytics ...

Allied Universal

Marketing Manager

Tampa, FL

Data Optimization * Maintain data integrity through ongoing data quality initiatives, duplicate management, data cleansing, validation rules, and data governance processes for effective campaign ...

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Data Optimization information

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Florida? The most popular types of Data Optimization jobs in Florida are:
What are popular job titles related to Data Optimization jobs in Florida? For Data Optimization jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in Florida look for? The top searched job categories for Data Optimization jobs in Florida are:
What cities in Florida are hiring for Data Optimization jobs? Cities in Florida with the most Data Optimization job openings:
Data Optimization jobs near you
Infographic showing various Data Optimization 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.

Information Technology_USA - USA_Senior Data Scientist

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

2 Candidate Submittal Slots, New High Level Policy
MSP Owner: Rob Finton
Location: St.Louis,MO - 100% REMOTE
Duration: 6 months
skill id: 10898451
Replacement for closed BeelineID 99277-1
Competencies: 8-12+ years of experience
Matillion
Snowflake
Advanced SQL
Sr Data Engineer
Role Summary: We are seeking a highly skilled Senior Data Engineer with strong hands-on experience in Matillion, Snowflake, and production support operations. The ideal candidate will be responsible for designing, building, enhancing, and supporting enterprise data pipelines while ensuring operational stability, incident resolution, and continuous improvement of data platforms.
Technical/Functional Skills • 8-12 years total experience with 5+ years in ETL/ELT engineering using industry tools; 1+ year hands-on Matillion
• 2+ years building and operating Snowflake (warehouse objects, stages, tasks, streams, performance tuning)
• 3+ years of hands-on Snowflake experience, including schemas, tasks, streams, stored procedures, performance tuning, and data optimization.
• Advanced SQL: Stored procedures, functions, triggers, error handling; proven query tuning on large datasets
• Demonstrated experience implementing CDC patterns (batch/near real time).
• Experience with AWS components in data pipelines (Lambda, storage/services) is a plus per requirement
• Strong problem solving, communication, and ability to multitask in a team oriented environment
• Excellent verbal and written communications skills and ability to multi-task within a team-oriented environment
• Demonstrated proficiency developing and supporting extract, transform, and load (ETL) and extract, load, transform (ELT) processes
• Experience building self-service reporting solutions using business intelligence software (e.g., OBIEE, Looker, Power BI, etc.)
• Ability to maintain documentation on ELT process and procedures
• Experience conducting project-specific data analysis that includes analyzing and mapping required data and supporting all facets of the ELT process
• Ability to assist with the creation and maintenance of ELT specifications (e.g., source-to-target maps)
Experience Required 10+ Years with atleast 7+ Yrs as Data engineer
Roles & Responsibilities
• Manage and support production ELT pipelines and Snowflake environments.
• Handle incidents, service requests, root cause analysis, and problem management activities.
• Work closely with business and support teams to ensure SLA adherence.
• Monitor job failures, troubleshoot issues, and implement permanent corrective actions.
• Participate in on-call support and release activities as needed.
• Experience working with ITSM processes including Incident, Problem, Change, and Service Request Management.
• Documentation & KT: Maintain runbooks, SOPs, design notes; deliver KT to peers and cross functional stakeholders.
• Stakeholder Management: Present progress/risks to project and business teams; align deliverables to priorities and release timelines
Key Responsibilities
• Design, develop, and maintain scalable ELT pipelines using Matillion and Snowflake.
• Implement CDC and incremental loading solutions for enterprise data platforms.
• Develop and optimize Snowflake objects, procedures, tasks, and data models.
• Ensure data quality, governance, security, and operational reliability.
• Collaborate with business, analytics, and platform teams to deliver data solutions.
• Perform performance tuning and cost optimization for Snowflake workloads.
• Support production deployments and transition solutions into steady-state operations.
Generic Managerial Skills
Liaison with Customer IT & Business Team
Good Communication & Presentation Skills

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