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Data Jobs in Port Richey, FL (NOW HIRING)

Philip Morris International

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Data Architect - Tampa, FL At PMI U.S., we are building a modern nicotine business-focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris ...

MANTECH

Data Architect

Tampa, FL

$60.25 - $77.50/hr

The Data Architect will leverage their strong technical background and knowledge to develop models, policies, and standards to govern what data is collected, how it is stored, arranged, and ...

ACI Infotech

Data Analyst

Tampa, FL · On-site

Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an IT Data Analyst with proven experience Requesting SOW for worker. The candidate should be proactive and have strong ...

ManTech International

Data Analyst

Tampa, FL · On-site

The Data Analyst will leverage their strong technical background and knowledge to manipulate and analyze data in accordance with data management policies to support mission and business functions and ...

Endurion

Data Scientist

Tampa, FL · On-site

Job Title:   Data Scientist Experience Levels:  3+ years Location:  Located in Doral, FL with 10% travel requirement Clearance:  TS/SCI Endurion is seeking a dedicated and proactive technical ...

Sonsoft Inc

Data Modeling ,

Tampa, FL

$51.75 - $67/hr

Experience on data modeling using Dimensional as well as ER-Model Have working Knowledge of Industry Standard Reporting/ETL tools. Having good PL SQL Skills Have good Banking and Financial Domain ...

Zenith American Solutions, Inc.

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Position Summary The Data Architect is responsible for designing data infrastructure to extract and organize data. This role identifies the Company's internal data sources to determine storage needs ...

Zenith American Solutions, Inc.

Data Architect

Tampa, FL · Remote

$60.25 - $77.50/hr

Position Summary The Data Architect is responsible for designing data infrastructure to extract and organize data. This role identifies the Company's internal data sources to determine storage needs ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will help drive revenue growth, efficiency/productivity, and patient Lifetime Value. The individual will ...

MANTECH

Data Scientist

Tampa, FL

The Data Scientist will leverage their strong technical background and knowledge to interpret and analyze complex sets of data to produce actionable insights. This role requires a knowledge of ...

ManTech International

Data Scientist

Tampa, FL · On-site

The Data Scientist will leverage their strong technical background and knowledge to interpret and analyze complex sets of data to produce actionable insights. This role requires a knowledge of ...

Gerdau

DATA ANALYST

Tampa, FL

We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business ...

ManTech International

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

The Data Architect will leverage their strong technical background and knowledge to develop models, policies, and standards to govern what data is collected, how it is stored, arranged, and ...

Programmers.io

Data Analyst

Tampa, FL · On-site

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data platforms. Good in Snowflake NoSQL: MongoDB, DynamoDB, Cassandra RDBMS: Oracle Key Responsibilities * The ...

Gerdau

DATA ANALYST

Tampa, FL · On-site

We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business ...

Amerilife Group, LLC

Data Scientist

Clearwater, FL · On-site

Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ground up on Databricks. You'll ship production solutions - from predictive forecasting to AI agents ...

Lincare

Data Scientist

Clearwater, FL · On-site

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will help drive revenuegrowth, efficiency/productivity, and patient Lifetime Value. The individual will ...

Elevance Health

Secure Data Pipeline Data Engineer

Tampa, FL · Hybrid

$108K - $129K/yr

Secure Data Pipeline Data Engineer Secure Data Pipeline Data Engineer Locations: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for ...

Agile Defense

Data Scientist

Tampa, FL

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area ...

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All JobsData JobsData Jobs in Port Richey, FL

Data information

See Port Richey, FL salary details

$40.8K

$146.3K

$215.9K

How much do data jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data in Port Richey, FL is $146,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $150,700.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What job categories do people searching Data jobs in Port Richey, FL look for? The top searched job categories for Data jobs in Port Richey, FL are:
What cities near Port Richey, FL are hiring for Data jobs? Cities near Port Richey, FL with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Port Richey, FL as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,297 per year, or $70.3 per hour.
Data Architect

Data Architect

Philip Morris International

Tampa, FL • On-site

$60.25 - $77.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Data Architect - Tampa, FL
At PMI U.S., we are building a modern nicotine business-focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal-age adults who still smoke with better alternatives.
Our approach is rooted in innovation, responsible marketing, and a growing U.S. footprint that spans manufacturing, technology, and commercial operations across the country.
That creates real opportunity. You'll have the space to take ownership, develop new ideas, and contribute to work that is shaping our business and the category. We're looking for people who are curious, collaborative, and motivated by progress-because the scale of what we're building creates room to grow in different directions.
About the Role:
We are seeking a highly skilled and innovative Data Architect to join our Data Services team. This role blends hands-on technical depth with strategic architecture ownership - designing and governing the data blueprints that power our enterprise data platform, analytics, and AI/ML initiatives.
The ideal candidate is not just a builder but a decision-maker: someone who defines modeling standards, selects technologies, shapes governance frameworks, and ensures our data architecture is scalable, secure, and AI-ready. You will own the architecture blueprint that every downstream team depends on.
Your Day to Day:
Data Architecture & Modeling
  • Design and maintain conceptual, logical, and physical data models (CDM/LDM/PDM) for enterprise data platform assets, ensuring alignment with business requirements and optimization for performance, scalability, and reuse.
  • Define and enforce data modeling standards, naming conventions, and design patterns across the organization.
  • Design database schemas, tables, views, indexes, and other database objects to support analytical and operational workloads.

Data Integration & Platform Architecture
  • Collaborate with solution architects and data engineers to architect a robust, modern data platform supporting data integration, data quality, and data governance across cloud and hybrid environments.
  • Define data flow diagrams, integration patterns, and orchestration strategies to ensure efficient and governed data movement between upstream and downstream systems.
  • Work with data engineers to integrate data from multiple sources (structured and unstructured), ensuring consistency, quality, and lineage across the data ecosystem.

AI/ML & Advanced Analytics Enablement
  • Partner with data scientists and AI/ML engineers to design data architectures that support AI/ML model development, training, and deployment - ensuring seamless integration into data pipelines.
  • Architect AI-ready data frameworks that enable Business Intelligence (BI), machine learning, and generative AI use cases, including RAG patterns and LLM-powered applications.
  • Implement explainable AI (XAI) principles to ensure transparency and trust in machine learning model outputs.

Governance, Documentation & Compliance
  • Establish and enforce data governance standards, including data classification, PII handling, data lineage, access control, and metadata management.
  • Create and maintain comprehensive documentation including data dictionaries, entity-relationship diagrams (ERDs), metadata catalogs, and architecture decision records.
  • Ensure data models and architecture comply with data privacy regulations and organizational data governance policies.

Performance & Continuous Improvement
  • Monitor and optimize the performance of data models and database queries to ensure efficient data retrieval and processing at scale.
  • Evaluate emerging technologies and architecture patterns (e.g., lakehouse, data mesh, data fabric) and make recommendations aligned with organizational strategy.
  • Foster a culture of continuous learning and technical excellence within the team; mentor and guide data engineers and junior architects.

Who we're looking for:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (Master's preferred).
  • 7+ years of experience in data architecture and data modeling, including designing conceptual, logical, and physical data models across multiple functional domains (e.g., Sales, Finance, Supply Chain, Marketing).
  • Strong proficiency in SQL and hands-on experience with modern cloud data platforms - specifically Snowflake and/or Databricks (Lakehouse architecture).
  • Experience with ETL/ELT tools and frameworks (e.g., Matillion, dbt, Informatica, or similar) and data warehousing best practices.
  • Proficiency in data modeling tools such as PowerDesigner, ER/Studio, ERwin, or similar.
  • Working knowledge of Python for data processing, automation, or ML integration.
  • Experience with AI/ML libraries and platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Databricks ML, or AWS SageMaker) for supporting large-scale ML workloads.
  • Solid understanding of data governance, data cataloging (e.g., Atlan, Alation, Unity Catalog), data quality frameworks, and compliance standards.
  • Legally authorized to work in the U.S.

What's nice to have?:
  • Experience with cloud platforms (AWS, Azure, or GCP) and multi-cloud architectures.
  • Familiarity with lakehouse architectures, Delta Lake, Iceberg, Snowpark, or similar modern data formats and frameworks.
  • Knowledge of MLOps/LLMOps patterns, model observability, and GenAI architecture concepts (RAG, vector databases, agentic AI).
  • Experience with data observability and pipeline orchestration tools (e.g., Monte Carlo, Great Expectations, Control-M, Apache Airflow).
  • Relevant industry certifications (e.g., Snowflake SnowPro, Databricks Certified, AWS/Azure Data certifications, CDMP/TOGAF).
  • Experience working in Agile/SAFe environments with cross-functional teams.
  • Excellent communication skills with the ability to translate complex technical concepts for both technical and non-technical stakeholders.

Relevant Open Sourcing Considerations
  • Be legally authorized to work in the US
  • International relocation support is not available for this job
  • If you have been in your current job for less than 12 months or if you are on a Performance Improvement Program, you must get the approval of your current manager before applying for the job.
  • If you are not a PMI employee and employed by a third an agency, please make a formal application via the external career site at https://join.pmicareers.com/
  • To find out more about eligibility to apply for internal jobs, please refer to the Open Sourcing Employee Guidebook on the Internal Careers Portal.

What we offer
  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
  • Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture where everyone's contribution is respected; Collaborate with some of the world's best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers.

PMI is an Equal Opportunity Employer.
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI's affiliates first entered the U.S. market following the company's acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match - a leader in oral nicotine delivery - creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI's IQOS electronically heated tobacco devices and Swedish Match's General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.
#PMIUS #LI-SC1

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