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

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 ...

Peraton

Data Engineer

Tampa, FL

$86K - $138K/yr

Responsibilities Role Identity & Mission This senior Data Engineer provides technical leadership, enterprise data architecture expertise, and mission critical engineering support for global ...

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

$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 ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

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 ...

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

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 ...

Deloitte

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

Share: Share Data Engineer TS/SCI Required with Facebook Share Data Engineer TS/SCI Required with LinkedIn Share Data Engineer TS/SCI Required with Twitter Caution against fraudulent job offers.

Deloitte

Databricks Data Engineer II

Tampa, FL · On-site

$108K - $129K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Inizio Partners

Data Engineer - Healthcare

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 ...

Pwc

Data Engineer - Manager

Tampa, FL

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Tampa, FL

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Airlines Reporting Corporation

Data Engineer IV

Tampa, FL

$108K - $129K/yr

We are looking for a Data Engineer IV to join our team! In this role you will be a key driver of technical excellence, strategy, and innovation with a central role in the success of our data projects.

DPR Construction

PCA Data Engineer

Tampa, FL

$108K - $129K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific ...

Deloitte

Sr Databricks Data Engineer

Tampa, FL

$108K - $129K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Bristol Myers Squibb

Senior Data Engineer

Tampa, FL · On-site

$137K - $166K/yr

As a Senior Data Engineer in Research IT, you will play a critical role supporting Bristol Myers Squibb's Foundational Data Products , including CoreReg, Substance Mart, DARE, and Asset Mart . You ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in New Port Richey, FL

Data Engineer information

See New Port Richey, FL salary details

$39.6K

$115.5K

$158.1K

How much do data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data engineer in New Port Richey, FL is $115,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $122,500.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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 Data Engineer jobs in New Port Richey, FL? For Data Engineer jobs in New Port Richey, FL, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in New Port Richey, FL look for? The top searched job categories for Data Engineer jobs in New Port Richey, FL are:
What cities near New Port Richey, FL are hiring for Data Engineer jobs? Cities near New Port Richey, FL with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in New Port Richey, FL as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,537 per year, or $55.5 per hour.

Data Engineer

Inizio Partners

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Posted 9 days ago

Job description

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 build and maintain scalable data-driven applications and platforms in the healthcare domain.

What You'll Do

  • Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)
  • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows
  • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets
  • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms
  • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams
  • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)
  • Design and optimize data models, warehouses, and data processing workflows
  • Translate healthcare operational and reporting requirements into scalable data solutions
  • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)
  • Monitor, debug, optimize, and maintain production data systems and applications
  • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

Required Skills & Experience

  • Strong hands-on experience with Python for data engineering and backend development
  • Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)
  • Basic to strong experience with React.js frontend development
  • Experience building scalable ETL/ELT pipelines and production-grade data applications
  • Strong understanding of REST APIs and system integrations
  • Experience working with relational and/or NoSQL databases
  • Experience with data warehousing, data modeling, and large-scale data processing
  • Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)
  • Ability to work in ambiguous, real-world problem spaces
  • Strong communication skills with technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Preferred Experience

  • Prior experience in healthcare technology or healthcare systems
  • Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)
  • Experience working with healthcare workflows (clinical, operational, or administrative systems)
  • Exposure to regulated environments (HIPAA, security-sensitive systems)
  • Experience with big data technologies and distributed processing systems
  • Experience building analytics dashboards or data visualization platforms
  • Experience working with enterprise-scale data platforms and pipelines

Apply