1

Data Engineer Data Analyst Jobs in New Port Richey, FL

Data Engineer- Greater Tampa

Tampa, FL ยท On-site

$108K - $129K/yr

This role works closely with Data Platform Engineers, Data Analysts, and business stakeholders to ensure the timely, accurate, and reliable delivery of data used for reporting, analytics, and ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Enterprise ...

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Enterprise ...

Data Engineer (BI)

Tampa, FL ยท Remote

$108K - $129K/yr

This role involves working closely with analysts, engineers, and business stakeholders to shape our data architecture, build secure and efficient data pipelines and curated data models, and turn data ...

Data Analyst III Contract | Remote (EST Only) Duration: 6 Months (Contract-to-Hire Potential) Start ... Programming experience in one or more of the following: * C# * Java * Python * SQL * Excellent ...

Mid Data Analyst

Tampa, FL ยท On-site

$61K - $141K/yr

R0246618 Data Analyst, Mid The Opportunity: As a data analyst, you love diving into data and ... Experience with C++, JavaScript, and Go programming languages Clearance: Applicants selected will ...

Mid Data Analyst

Tampa, FL ยท On-site

$61K - $141K/yr

R0246622 Data Analyst, Mid The Opportunity: As a data analyst, you love diving into data and ... Experience with C++, JavaScript, and Go programming languages Clearance: Applicants selected will ...

Data Engineer

Tampa, FL

$108K - $129K/yr

We are looking for a Data Engineer with strong handson experience designing, developing, and ... Develop and manage structured and unstructured data pipelines supporting analytics, ML, and ...

Data Engineer II

Tampa, FL ยท On-site

$108K - $129K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

Data Engineer - Databricks

Tampa, FL ยท Hybrid

$108K - $129K/yr

Technical mentoring for junior data engineers ... Analytical thinking for complex data problems * Stakeholder communication for data requirements

Data Engineer - Databricks

Tampa, FL ยท On-site

$108K - $129K/yr

Technical mentoring for junior data engineers ... Analytical thinking for complex data problems * Stakeholder communication for data requirements

The Distributor Data Analyst also partners with internal Fintech support teams to improve the ... Contribute to the development of distributor programming and support material for efficient ...

The Distributor Data Analyst also partners with internal Fintech support teams to improve the ... Contribute to the development of distributor programming and support material for efficient ...

Showing results 21-40

Data Engineer Data Analyst information

See New Port Richey, FL salary details

$30.3K

$73.6K

$121.1K

How much do data engineer data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data engineer data analyst in New Port Richey, FL is $73,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,400.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in New Port Richey, FL?

For Data Engineer Data Analyst jobs in New Port Richey, FL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in New Port Richey, FL look for?

The top searched job categories for Data Engineer Data Analyst jobs in New Port Richey, FL are:

What cities near New Port Richey, FL are hiring for Data Engineer Data Analyst jobs?

Cities near New Port Richey, FL with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in New Port Richey, FL as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $73,607 per year, or $35.4 per hour.

Data Engineer- Greater Tampa

MaxHealth

Tampa, FL โ€ข On-site

$108K - $129K/yr

Full-time

Posted 14 days ago


Job description

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data pipelines and data integration solutions within MaxHealth's cloud-based analytics ecosystem. This role works closely with Data Platform Engineers, Data Analysts, and business stakeholders to ensure the timely, accurate, and reliable delivery of data used for reporting, analytics, and operational decision-making.

The Data Engineer will assist with modernizing legacy data processes, developing Azure Data Factory (ADF) pipelines, supporting Microsoft Fabric initiatives, and monitoring the quality and reliability of enterprise data assets.


Location- Candidates must be located in the greater Tampa Bay region to be considered for this position. Tampa or Sarasota preferred with hybrid flexibility.


Required Qualifications

  • 4+ years of experience in data engineering, ETL development, database development, or related technical roles
  • Experience with SQL Server and strong SQL development skills
  • Experience with Azure Data Factory (ADF), SSIS, or similar data integration tools (hands on Fabric and Databricks experience preferred)
  • Experience developing ETL/ELT processes and data transformation workflows
  • Scripting experience with Python, PowerShell, or similar languages
  • Understanding of relational databases and data modeling concepts
  • Strong analytical and troubleshooting skills
  • Ability to work effectively in both independent and team environments

Preferred Qualifications

  • Experience with Microsoft Fabric components as well as Databricks
  • Familiarity with Azure Data Lake Storage Gen2 or cloud-based data platforms
  • Understanding of data warehouse and lakehouse concepts
  • Exposure to CI/CD practices and Azure DevOps
  • Experience working in healthcare, payer, provider, or regulated environments
  • Familiarity with monitoring tools such as Azure Monitor and Log Analytics

Preferred Certifications:

  • Microsoft Certified: Azure Fundamentals (AZ-900) or equivalent foundational cloud cert
  • HDI Support Center Analyst or equivalent
  • Clinical application certifications a plus.

Key Responsibilities:

Data Integration & Pipeline Development

  • Develop and maintain data pipelines using Azure Data Factory (ADF), Databricks, and/or Fabric
  • Support migration of legacy SSIS processes to modern cloud-based solutions
  • Build and maintain reusable ELT processes for data ingestion and transformation
  • Integrate data from operational systems, applications, APIs, and third-party vendors
  • Support data loading processes into data lake, warehouse, and reporting environments

Data Operations & Support

  • Monitor scheduled data pipelines and troubleshoot execution failures
  • Respond to data-related incidents and support operational data processes
  • Assist with root cause analysis and implementation of corrective actions
  • Work with Data Operations teams to ensure reliable and timely data delivery
  • Participate in production support and on-call activities as assigned

Data Quality & Validation

  • Implement data validation and reconciliation processes within pipelines
  • Monitor data quality, completeness, and accuracy across source and target systems
  • Investigate data anomalies and partner with business users to resolve issues
  • Support testing and validation efforts for new data integrations and enhancements

Database Development & Support

  • Develop and optimize SQL queries, stored procedures, and database objects
  • Support database performance tuning efforts and indexing strategies
  • Assist with database maintenance and data management activities
  • Follow established security, compliance, and data governance standards

Documentation & Continuous Improvement

  • Maintain technical documentation for data pipelines, workflows, and integrations
  • Document data mappings, transformation logic, and operational procedures
  • Follow development standards, coding conventions, and deployment processes
  • Identify opportunities to improve data processing efficiency and reliability

ABOUT MAXHEALTH

MaxHealth is dedicated to simplifying healthcare and ensuring healthier futures-for our patients and our people.

Founded in 2015, MaxHealth is a leading primary care platform focused on delivering highquality, integrated, valuebased care to adults and senior patients throughout Florida. Today, we support more than 70,000 valuebased care patients through a growing network of more than 55 owned clinics and 30 affiliated practices across central and southern Florida.

Our success is driven by our people. MaxHealth is home to a diverse, multidisciplinary team of more than 700 employees-including primary care providers, specialists, clinical staff, and corporate professionals-who are united by a shared purpose: to make healthcare simpler, more compassionate, and more human.

We are proud to offer a workplace that supports career growth, internal advancement, and worklife balance, with regular weekday office hours and a strong commitment to employee wellbeing.

At MaxHealth, team members are encouraged to grow their skills, pursue leadership opportunities, and build longterm careers in an environment where their contributions truly matter.

MaxHealth also partners with likeminded independent providers, leveraging our platform to expand access to highquality care while preserving the personalized relationships that define great medicine.

Our values guide everything we do: we are customercentered, compassionate, resultsdriven, proactive, collaborative, and adaptable. These values shape not only how we care for patients, but how we support one another as colleagues.

Our mission is simple: to deliver quality care, a simplified experience, and happiness-one patient, and one team member, at a time.


#IND123