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Data Optimization 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 ...

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 ...

Partner with analytics to ensure data accuracy, integrity, and scalability of measurement and translate data into actionable insights * Establish measurement frameworks for SEO and AEO, including ...

Partner with analytics to ensure data accuracy, integrity, and scalability of measurement and translate data into actionable insights * Establish measurement frameworks for SEO and AEO, including ...

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 ...

Experience using data and analytics tools to understand traffic patterns and user behavior ... Knowledge of standard and current SEO practices including SEO reporting * 2-4 years of demonstrated ...

You will use data to identify opportunities, guide writers and editors on what to produce, and ... Research and plan keyword clusters that inform both SEO and AI search visibility strategies * Audit ...

You will use data to identify opportunities, guide writers and editors on what to produce, and ... Research and plan keyword clusters that inform both SEO and AI search visibility strategies * Audit ...

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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 job?

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.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, developing proficiency in data analysis typically requires ongoing practice, real-world experience, and understanding of statistical concepts, which may extend beyond three months for full competency.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and decision-making. Professionals in this role often use tools like SQL, Python, or data management software and require strong analytical skills to identify areas for improvement in data systems.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, they do not fully replace the need for human judgment, domain expertise, and interpretative skills essential to the role of a data analyst.

What are the key skills and qualifications needed to thrive in the Data Optimization position, 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 cities in Florida are hiring for Data Optimization jobs? Cities in Florida with the most Data Optimization job openings:

Data Architect OBIS Modernization Project

Siritech Solutions Corp

Tallahassee, FL

$60.50 - $78/hr

Full-time

Posted 22 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