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Data Associate Jobs in New Port Richey, FL (NOW HIRING)

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ... data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech ...

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ... data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech ...

Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ... data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech ...

Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this ... data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech ...

Data Engineer - CENTCOM

Tampa, FL · Hybrid

$108K - $129K/yr

Data Engineer - CENTCOM Location: Tampa, FL Clearance Level: Top Secret, Must Have Clearance to ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

... Data Technicians, and other service technicians), and other positions. This vacancy is one of those ... This policy applies to all employees, prospective employees, suppliers, clients, associates and ...

Pharmacist - Data Analytics

Tampa, FL · On-site

$55 - $66.25/hr

Pharmacist - Data Analytics Pharmacist LOCATION: This is a virtual eligible role. You must be ... This role enables associates to work virtually full-time, with the exception of required in-person ...

Google Data Specialist

Tampa, FL · On-site

$70K - $196K/yr

Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery ... If Associate's Degree, must have equivalent minimum 6-year work experience Bonus points if you have

... Associate to join their team. This position requires independent judgment and technical expertise ... Errors in judgment could result in compromised research data, delays in funded projects ...

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Data Associate information

See New Port Richey, FL salary details

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How much do data associate jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data associate in New Port Richey, FL is $29.46, according to ZipRecruiter salary data. Most workers in this role earn between $21.83 and $34.90 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in New Port Richey, FL? The most popular types of Data jobs in New Port Richey, FL are:
What job categories do people searching Data Associate jobs in New Port Richey, FL look for? The top searched job categories for Data Associate jobs in New Port Richey, FL are:
What cities near New Port Richey, FL are hiring for Data Associate jobs? Cities near New Port Richey, FL with the most Data Associate job openings:
Data Engineer - Databricks

Data Engineer - Databricks

Fintech

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Fintech rating

4.8

Company rating: 4.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

201st of 209 rated software companies


Job description

This position is Hybrid in Tampa, FL.
We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.
Key Responsibilities
Project Responsibility: End-to-end data pipelines and integrations
Technical Competencies:
  • Advanced SQL optimization and complex query design
  • Kafka streaming applications and connector development
  • Databricks workflow development with medallion architecture
  • Data governance implementation and compliance
  • Performance tuning for large-scale data processing
  • Data security and privacy best practices
  • Apache NiFi pipeline development for invoice and PO processing
  • Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
  • Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
  • Design and optimize data architectures for large-scale ML workloads
  • Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.

Soft Skills:
  • Cross-functional collaboration with product and engineering teams
  • Technical mentoring for junior data engineers
  • Analytical thinking for complex data problems
  • Stakeholder communication for data requirements
  • Process improvement and efficiency focus
  • Quality mindset for data accuracy and reliability Vendor Management:
  • Direct communication with data platform vendors
  • Evaluates vendor tools for specific data use cases
  • Provides technical feedback on vendor product roadmaps
  • Coordinates with vendors for data integration projects

Qualifications:
Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field.
5+ years in data engineering; 2+ years applying ML in production.
Our Benefits:
  • Hybrid Work
  • Employer Matched 401K
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short-Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Holiday Bonus
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

About Fintech:
Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource®, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit www.fintech.com.
Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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