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Senior Data Engineer Jobs in New Port Richey, FL

Data Engineer- Greater Tampa

Tampa, FL

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... care to adults and senior patients throughout Florida. Today, we support more than 70,000 ...

Data Engineer (PySpark)

Tampa, FL · On-site

$108K - $129K/yr

... senior stakeholders and or other team members Qualifications 58 years of relevant experience ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

... senior data scientists and operational stakeholders to develop optimization models, predictive ... Prepare and validate data, engineer features, and evaluate model results. * Build and automate ...

Python Data Engineer

Tampa, FL · On-site

$70 - $90/hr

Python Data Engineer (Entry - Mid Level) Location: Tampa, FL Onsite: Expected to go onsite (into a ... Background communicating to senior stakeholders in a classified environment * CompTIA Security ...

Senior Data Analyst

Tampa, FL · On-site

$90 - $150/hr

... engineers, analysts, and business stakeholders across multiple regions. Responsibilities ... enterprise data platforms * - Knowledge of cloud environments and modern data platform ...

Associate Data Engineer

Tampa, FL · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Data Manager, Senior

Tampa, FL · On-site

$86K - $198K/yr

Data Manager, Senior The Opportunity: Your combination of people skills and technical expertise makes you the team hero, solving one problem after another. As a data manager who specializes in SQL ...

Data Manager, Senior The Opportunity: Your combination of people skills and technical expertise makes you the team hero, solving one problem after another. As a data manager who specializes in SQL ...

Data Manager, Senior

Tampa, FL · On-site +1

$86K - $198K/yr

Share Data Manager, Senior The Opportunity: Your combination of people skills and technical expertise makes you the team hero, solving one problem after another. As a data manager who specializes in ...

Showing results 41-60

Senior Data Engineer information

See New Port Richey, FL salary details

$72.1K

$112.5K

$155.9K

How much do senior data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior data engineer in New Port Richey, FL is $112,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $128,300.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in New Port Richey, FL?

The most popular types of Data Engineer jobs in New Port Richey, FL are:

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

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

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

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

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

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

Infographic showing various Senior Data Engineer job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,519 per year, or $54.1 per hour.

Data Engineer- Greater Tampa

MaxHealth

Tampa, FL

$108K - $129K/yr

Full-time

Posted 4 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.


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