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Data Jobs in Port Richey, FL (NOW HIRING)

Hirekeyz Inc

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Data QE Job Type: Full Time Location: Tampa, FL * Overall Experience required minimum 8+ Years * Candidate should be able to carry out the job below and have 3+ years of experience in below technical ...

Inizio Partners

Data Engineer

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

CAE, Inc.

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Summary We are seeking an experienced Data Engineer to join our data architecture team and help expand and optimize our modern data lakehouse environment. This role is ideal for someone who thrives ...

Caeus

Data Engineer

Tampa, FL

$108K - $129K/yr

Summary We are seeking an experienced Data Engineer to join our data architecture team and help expand and optimize our modern data lakehouse environment. This role is ideal for someone who thrives ...

Contact Government Services, LLC

Data Engineer

Tampa, FL · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Contact Government Services, LLC

Data Engineer

Tampa, FL

$108K - $129K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Sonsoft Inc

Data Modeler Analyst

Tampa, FL · On-site

$51.75 - $67/hr

Evaluate existing data models and physical databases for variances and discrepancies * Experience with managing meta data for data models * To develop, publish, maintain all documentation for data ...

Pwc

Data Strategy-Manager

Tampa, FL

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Tampa, FL

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

UAB

DATA SCIENTIST LEAD

Tampa, FL · On-site

$104K - $169K/yr

Leads a team of data scientist professionals. Provides consultation on the design, testing, and enhancement of reporting systems. Researches, manipulates, and prepares advanced data reports related ...

Sonsoft Inc

Data Modeler Analyst

Tampa, FL

$51.75 - $67/hr

Evaluate existing data models and physical databases for variances and discrepancies * Experience with managing meta data for data models. * To develop, publish, maintain all documentation for data ...

Maximus

Chief Data Scientist

Tampa, FL · On-site

The Chief Data Scientist serves as the senior authority for data science, analytics, and applied AI, ensuring technical excellence, Responsible AI compliance, and alignment with client priorities ...

Agile Enterprise Solutions

Data Modelling

Tampa, FL

Preferred skills Knowledge of Erwin Data Modelling tool is must. At least 5 years of experience in technology consulting, enterprise and solutions architecture and architectural frameworks 3-5 years ...

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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 QE

Hirekeyz Inc

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Posted 27 days ago

Job description

Title: Data QE
 
Job Type: Full Time
 
Location: Tampa, FL
 
 

Job Description:

  • Overall Experience required minimum 8+ Years
  • Candidate should be able to carry out the job below and have 3+ years of experience in below technical skills.

Technical skills - 1. ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile methodologies

  • Design and Develop Automated Data Quality Tests:
    • Create and maintain automated test scripts and frameworks for data quality validation using tools like Python, SQL, and data quality testing frameworks. 
    • Develop data profiling and validation rules to identify data anomalies and inconsistencies.
    • Build and maintain test data sets for various testing scenarios.
  • Implement Data Quality Monitoring and Alerting:
    • Integrate automated data quality tests into CI/CD pipelines for continuous testing.
    • Set up data quality monitoring dashboards and alerts to proactively identify data issues.
    • Develop and maintain data quality reports and metrics.
  • Collaborate and Improve Data Quality Processes:
    • Work closely with data engineers and product owners to understand data pipelines and requirements.
    • Participate in code reviews and contribute to the development of data quality best practices.
    • Identify and recommend improvements to data quality processes and tools.
    • Investigate and resolve data quality issues, working with relevant teams to implement corrective actions.
  • Data Governance and Compliance:
    • Ensure data quality testing aligns with data governance policies and regulatory requirements.
    • Contribute to the development and maintenance of data quality documentation.

Options (Either of the below 3 should ideally work)

  1. ETL Testers with Prog lang (Java/Python)
  2. Data Analyst who is ready to work on QE side with Java/Python
  3. Data Engineers – Who is ready to do QE role with Java/Python
  4. SQL query writing & programming (Java/Python)
  5. Java/Python plays a role towards Automation routines. Not really a developer level knowledge.

Criteria to source resumes

  1. Candidate should be with any Computer science background
  2. Should have experience working with similar set-up as Mphasis. It should be a reputed organization (Tier 1- Tier-2 companies)
  3. Should have consistency in their career. We will not encourage job hoppers as we are looking to hire them for long-term here
  4. Need at least 3-4 lines of summary with their skill & career details (employment history) & how they elevated from scratch to now
  5. Focus candidates with at least 3-5+ years of experience in the above-mentioned skills.