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

SQL Data Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Role Summary We are seeking a Database Developer/Administrator with strong development and ... Plan and execute data patching, hotfixes, and schema changes across development, test, and ...

Data Engineer | TS/SCI Required

Tampa, FL

$108K - $129K/yr

Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will be responsible for: Supporting the build-out of an in-production unclassified system operating on a ...

Oracle Data Engineer Lead

Tampa, FL · On-site

$65 - $70/hr

Oracle Data Engineer Lead Job Location: USA Tampa, FL Job Type: Contract * Optimize database and query performance to meet strict SLAs eg 2 seconds response time * Analyze execution plans and ...

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 Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Position Summary The Data Layer Engineer supports mission-critical objectives under the referenced work order by designing, implementing, and optimizing data transformation workflows for geospatial ...

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 SCIF) up to 5 days per week Clearance: TS/SCI (no poly required) If you do NOT have a US Citizenship ...

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 be responsible for: • Supporting the build-out of an in-production unclassified system operating on ...

Data Engineering Lead- Finance

Tampa, FL · On-site

$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. This role is ideal for someone who enjoys combining ...

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Layer Engineer Full TimeProfessional Doral, FL Position Summary The Data Layer Engineer supports mission-critical objectives under the referenced work order by designing, implementing, and ...

Cloud Big Data Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

The candidate will have the traditional skillset of a hands on SQL Server Data Architect/Engineer but will also need to apply these skills to other Cloud Data Services such as Azure Document DB ...

Senior Contact Center Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

The Senior Contact Center Data Engineer I is a senior individual contributor responsible for building scalable analytics solutions, guiding complex analysis, and helping mature the contact center ...

Data Strategy-Manager

Tampa, FL · On-site

$99K - $232K/yr

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

Showing results 41-60

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 Aug 23, 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.

What is a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 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:

Infographic showing various 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 $115,537 per year, or $55.5 per hour.

SQL Data Engineer

Bond-Pro Inc

Tampa, FL • On-site, Remote

$108K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Who is Bond-Pro

Bond-Pro is a 25+ year old software company and the leader in providing enterprise software to insurance companies to manage their specialty line of Surety Bonds.

This position is open only to candidates residing in Florida, Georgia and Texas. Relocation is not an option.

This is a full-time W-2 salaried position. No contractors or agencies please.

We are unable to transfer/sponsor H1B Visa.

This is a 100% remote position.

Role Summary

We are seeking a Database Developer/Administrator with strong development and production support experience across SQL Server and relational database management systems (RDBMS) generally. This role spans database development and administration, with a focus on production support, data patching, and cloud platforms (Azure preferred, other clouds welcome).

Key Responsibilities

  • Design, develop, and optimize database schemas, stored procedures, functions, triggers, and views in SQL Server and other RDBMS platforms.
  • Provide production database support, including incident response, troubleshooting, root-cause analysis, and resolution of performance and availability issues.
  • Plan and execute data patching, hotfixes, and schema changes across development, test, and production environments with minimal downtime.
  • Perform performance tuning, query optimization, indexing strategy, and execution-plan analysis.
  • Administer database instances: installation, configuration, upgrades, patching, backup and recovery, and disaster recovery planning.
  • Manage and support databases in cloud environments - Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VMs, or equivalent services on other cloud platforms.
  • Implement and maintain security controls, access management, encryption, and compliance requirements.
  • Monitor database health, capacity, and resource utilization; set up alerting and proactive maintenance.
  • Support migrations between on-premises and cloud, and between database versions.
  • Collaborate with development teams on data modeling, release management, and deployment automation.
  • Maintain documentation for configurations, procedures, and runbooks.

Required Qualifications

  • Proven experience as both a database developer and administrator (typically 3-5+ years).
  • Strong proficiency in SQL Server (T-SQL); experience with other RDBMS (Oracle, PostgreSQL, MySQL) is a plus.
  • Hands-on production support experience, including on-call/incident handling.
  • Demonstrated experience with data patching, schema deployment, and release/change management.
  • Performance tuning and query optimization expertise.
  • Experience with backup/recovery, high availability (Always On, replication, clustering), and disaster recovery.
  • Cloud database experience - Azure preferred (Azure SQL, Managed Instance), or AWS/GCP equivalents.
  • Solid understanding of database security, access control, and compliance.

Preferred / Nice-to-Have

  • Azure certifications (e.g., Azure Database Administrator Associate, DP-300).
  • Experience with CI/CD for databases (DACPAC, Flyway, Liquibase, Redgate, Azure DevOps).
  • Scripting/automation with PowerShell, Python, or similar.
  • Infrastructure-as-code (ARM/Bicep, Terraform) for database provisioning.
  • Experience with monitoring tools (Azure Monitor, SQL Sentry, Redgate).
  • ETL / data integration experience (SSIS, Azure Data Factory).

Soft Skills

  • Strong troubleshooting and analytical skills under production pressure.
  • Clear communication with technical and non-technical stakeholders.
  • Ability to balance development work with operational/support duties.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Generous Paid Time Off
  • 401(k) matching

About Bond-Pro

Bond-Pro's fully integrated enterprise software suites enable Surety professionals with a full underwriting suite to evaluate and manage accounts as well as the tools to streamline and automate the entire life cycle of Surety Bonds.

Founded in 1991 and headquartered in Tampa, Florida, Bond-Pro is the leading software automation tool for Surety professionals. Our focus is developing state-of-the-art technology solutions to help surety carriers and agencies grow premiums, while reducing risks and operating costs. With 10 major releases and over 250,000 development hours, we dedicate 76% of our operating costs to the further enhancement of our products.

Bond-Pro is the most widely used surety automation software deployed by hundreds of agencies and dozens of national surety carriers. Bond-Pro leverages more than 20 years of customer feedback in developing surety software that provides the most feature rich functionality in the marketplace.

Learn more about us atwww.bond-pro.com

Employment Type: FULL_TIME