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

Synnex

Sr. Data Analyst

Clearwater, FL · On-site

$79K - $100K/yr

In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering ... senior leadership. What You Bring * 3-5 years of experience in data analytics, business ...

TD Synnex Corp

Sr. Data Analyst

Clearwater, FL

$79K - $100K/yr

In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering ... senior leadership. What You Bring * 3-5 years of experience in data analytics, business ...

New

TD SYNNEX

Sr. Data Analyst

Clearwater, FL · On-site

$79K - $100K/yr

In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering ... senior leadership. What You Bring * 3-5 years of experience in data analytics, business ...

Luxoft

Senior Data Analyst

Tampa, FL · On-site

$78K - $98K/yr

... engineers, analysts, and business stakeholders across multiple regions. Responsibilities ... C2 Proficient Seniority Senior

Accenture

Google Data Specialist

Tampa, FL · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to internal accelerators, documentation, and reusable components. * Stay current with GCP releases, Gemini ...

MAXhealth

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

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

New

MaxHealth

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 ...

Posted today

Capgemini

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 ...

Socket.dev

Data Scientist III- Operations

Clearwater, FL · On-site

$120 - $170/hr

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

Black Cape

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 ...

Luxoft

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 ...

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Showing results 41-60

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Port Richey, FL

Senior Data Engineer information

See Port Richey, FL salary details

$71.8K

$112K

$155.1K

How much do senior data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior data engineer in Port Richey, FL is $111,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $127,700.00 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 cities near Port Richey, FL are hiring for Senior Data Engineer jobs?

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,997 per year, or $53.8 per hour.

Sr. Data Analyst

Synnex

Clearwater, FL • On-site

$79K - $100K/yr

Full-time

Posted 5 days ago

Job description

About the Role
We're looking for a Senior Data Analyst to help turn complex cloud, financial, and operational data into clear, actionable insights that improve business performance. In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering, Cloud Accounting, and Cloud Sales Leadership, helping teams make smarter decisions across multi-cloud environments.
This is a great opportunity for someone who enjoys moving beyond standard reporting to uncover meaningful trends, identify risks, and deliver recommendations that influence both strategy and execution. You'll work with data from AWS, Azure, and Google Cloud Platform (GCP), as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and decision-making.
If you're energized by solving business problems with data, building scalable analytics solutions, and helping leaders understand what matters most, this role offers strong visibility and the chance to make measurable impact.
What You'll Do
  • Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities.
  • Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance.
  • Partner with business and technical stakeholders to define KPIs, scorecards, and success metrics aligned to organizational goals.
  • Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness.
  • Evaluate reservation strategies, savings plans, licensing impacts, and commitment-based discounts across cloud platforms.
  • Support budgeting, chargeback, showback, and cost allocation initiatives with advanced analytical modeling.
  • Develop dashboards, reporting models, and self-service analytics tools that help teams make faster, better-informed decisions.
  • Investigate recurring operational issues and recommend opportunities for automation, remediation, and process improvement.
  • Measure the impact of FinOps and optimization initiatives to quantify business value.
  • Communicate findings clearly to both technical and non-technical audiences, including senior leadership.
What You Bring
  • 3-5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field.
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, Economics, Mathematics, or a related discipline.
  • Experience working with large, complex datasets and translating analysis into practical business recommendations.
  • Knowledge of AWS, Azure, and GCP cloud services, billing structures, and consumption models.
  • Experience creating dashboards, KPIs, scorecards, forecasts, and predictive models for operational and executive stakeholders.
  • Proficiency in Python, R, or other analytical programming languages.
  • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools.
  • Understanding of data modeling, governance, data quality, and business performance metrics.
  • Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.
Preferred Certifications
Candidates with certifications in the following areas will be especially attractive:
  • FinOps
  • Cloud Platform Certification (AWS, Azure, or GCP)
  • Data Analytics / Business Intelligence
  • AI or Machine Learning
Why This Role Stands Out
This role offers the opportunity to shape how cloud and financial data are used to drive better decisions across the business. You'll help leaders understand where to invest, where to optimize, and how to improve outcomes across a growing multi-cloud environment. It's an ideal next step for someone who wants to deepen their expertise in cloud analytics, FinOps, predictive modeling, and strategic decision support.
At TD SYNNEX, our values emphasize being bold, taking ownership, growing through continuous learning, and doing the right thing with integrity and respect. We welcome candidates with diverse backgrounds and experiences who are excited to bring curiosity, collaboration, and thoughtful problem-solving to the role.
Work Environment
  • Professional office environment
  • Occasional non-standard work hours based on business needs

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What's In It For You?

  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don't meet every single requirement? Apply anyway.

At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.

TD SYNNEX is an E-Verify company

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