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Data Engineer Jobs in Port Orange, FL (NOW HIRING)

Security First Managers LLC

Data Engineer

Ormond Beach, FL · On-site

$100K - $120K/yr

Security First Managers is seeking a skilled Data Engineer to design, build, and optimize enterprise data solutions that support analytics, reporting, operational efficiency, and business growth.

Techvilla Solutions

Data Scientist

Enterprise, FL

Strong programming experience with Python. * Strong SQL skills for data extraction, transformation, and analysis. * Experience developing and deploying Machine Learning models. * Experience with ...

New

Galent

Data Modeler

Daytona Beach, FL · On-site

$52.50 - $68.25/hr

... and developers to understand and clarify requirements Analytical Thinking Ability to understand complex business processes and translate them into structured data models Stakeholder Management ...

New

RealTruck

Quality Engineer

Ormond Beach, FL · On-site

$63K - $81K/yr

Quality Engineer helps develop corrective actions, continuous improvement projects, and ... Collect, analyze, and report real time data related to defect improvement projects and provide ...

Maxton Group Inc

Quality Engineer

Ormond Beach, FL

$63K - $81K/yr

Quality Engineer helps develop corrective actions, continuous improvement projects, and ... Collect, analyze, and report real time data related to defect improvement projects and provide ...

Truck Hero

Quality Engineer

Ormond Beach, FL · On-site

$63K - $81K/yr

Quality Engineer helps develop corrective actions, continuous improvement projects, and ... Collect, analyze, and report real time data related to defect improvement projects and provide ...

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All JobsData Engineer JobsData Engineer Jobs in Port Orange, FL

Data Engineer information

See Port Orange, FL salary details

$38K

$110.9K

$151.7K

How much do data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer in Port Orange, FL is $110,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $117,500.00 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.
More about Data Engineer jobs

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

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

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

The top searched job categories for Data Engineer jobs in Port Orange, FL are:

What cities near Port Orange, FL are hiring for Data Engineer jobs?

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Port Orange, FL as of August 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $110,871 per year, or $53.3 per hour.

Data Engineer

Ormond Beach, FL • Hybrid

Security First Insurance Company (Security First Managers)
See more jobs at Security First Insurance Company (Security First Managers)external

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Build the foundation for data-driven decisions.


Security First Managers is seeking a skilled Data Engineer to design, build, and optimize enterprise data solutions that support analytics, reporting, operational efficiency, and business growth. This role is responsible for developing scalable data architectures, managing database environments, integrating data across internal and external systems, and ensuring the integrity, security, and availability of critical business data.

What You'll Do

  • Design, develop, and maintain relational databases, data models, data warehouses, and scalable database architectures that support reporting, analytics, and business operations.
  • Build, optimize, and support SQL queries, stored procedures, functions, views, and high-performance data schemas to improve data accessibility and performance.
  • Develop data integration solutions and automated workflows that facilitate secure data exchange between Security First and external partners.
  • Monitor, troubleshoot, and maintain database systems, ensuring availability, performance, backup/recovery readiness, capacity planning, and data integrity.
  • Perform advanced data analysis, transform raw data into actionable insights, and support business stakeholders with timely and accurate reporting.
  • Establish and enforce database standards, governance practices, security controls, and best practices across all database environments.
  • Support statutory, regulatory, operational, and ad hoc reporting requirements while meeting critical deadlines and quality standards.
  • Collaborate with business teams to understand data needs, translate requirements into technical solutions, and deliver meaningful analytics and reporting capabilities.
  • Continuously improve data management methodologies, automation processes, and database performance while adopting new technologies and technical skills.
  • Participate in business continuity and catastrophe response efforts as needed, including support during weather-related or other critical business events.

What You'll Bring

  • High school diploma or equivalent
  • Five (5) years of experience in data engineering, analysis, business intelligence, or a related field
  • OR bachelor’s degree in STEM degrees with 3 years of experience in engineering, analysis business intelligence, or a related field
  • Strong knowledge of Microsoft SQL Server, SQL database administration, Python, MySQL, and PostgreSQL
  • Three (3) years of managing and maintaining multiple SQL instances, supporting enterprise databases, database building, management, and user administration
  • Two (2) years of Statistical Data Modeling techniques experience
  • OR an equivalent combination of education, certification, training, and/or experience

Preferred Qualifications:
• Masters degree in relevant coursework
• Amazon Web Services (AWS)- including hands-on experience with Redshift Database
• Experience with ActiveBatch software
• Proficient with Python, C#, and PowerShell programming languages
• Microsoft Database technical certifications
• Five (5) years of Microsoft SQL Server Database experience
• Two (2) years of MySQL Database experience
• Experience working in the insurance industry especially with compliance reporting
• Experience in applied statistical analysis and reporting in a business environment using business intelligence software such as Tableau, Tableau Prep and/or Looker

Why You'll Love Working Here

We're serious about our work—but we also believe work should be enjoyable. Our offices were designed with our team members in mind and includes:

  • State-of-the-art fitness center
  • Complimentary chef-prepared lunches monthly
  • Beautiful walking trail around our office
  • Team Member appreciation events throughout the year
  • Hybrid work environment that supports collaboration and flexibility
  • Food truck events featuring local favorites
  • Professional development, mentoring, and continuing education
  • Competitive benefits package including medical, dental, vision, paid time off, 401(k), and more

Join us and help transform data into insights that drive innovation, operational excellence, and exceptional business outcomes.

Apply