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Data Engineer Jobs in Windermere, FL (NOW HIRING)

AssistRx

Senior Manger, Data Engineering

Maitland, FL · On-site +1

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing, building, and operating the scalable data pipelines, architectures, and platforms that power AssistRx ...

VHB

Data Architect

Orlando, FL

$59.50 - $76.50/hr

Provide technical leadership and mentorship to junior data engineers and architects and participate in architectural reviews and system improvement initiatives. Skills and Attributes * Strong ...

TMS

Associate Principal - Data Engineering

Orlando, FL · On-site

... data engineering BI and product teams for end-to-end delivery Strong stakeholder communication and requirement elicitation skills Knowledge of CRM marketing tools Salesforce Adobe etc. preferred ...

RiseIT Solutions

Data Quality Engineer

Orlando, FL · On-site

$120K/yr

Data Quality Engineer Location: Orlando, FL (100% onsite) Type: Direct Hire Position Rate: $120K per year + 8% annual bonus + full benefits + full relocation Education: Bachelor's degree in IT ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Worth AI

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest ...

Kalera

Data Warehouse Engineer

Orlando, FL

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

Kalera

Data Warehouse Engineer

Orlando, FL · On-site

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

CYNET SYSTEMS

Senior Data and Cloud Engineer

Orlando, FL · On-site

$48 - $53/hr

Bachelor's degree in computer science, Information Systems, Engineering, or related field. * 8+ years of experience in Data Engineering, Database Development, or Data Warehousing. * 5+ years of hands ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Windermere, FL

Data Engineer information

See Windermere, FL salary details

$39.6K

$115.4K

$158K

How much do data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer in Windermere, FL is $115,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

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

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

What are popular job titles related to Data Engineer jobs in Windermere, FL?

For Data Engineer jobs in Windermere, FL, the most frequently searched job titles are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Windermere, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $115,442 per year, or $55.5 per hour.

Director Marketing Data Engineering

Hilton Grand Vacations, Inc.

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description


  • Recognition Programs and Rewards
  • Excellent health care options, including medical, dental, and vision
  • A people-first culture
  • Go Hilton: Travel Discounts Program Hilton hotel rates worldwide.
  • Perks at work: Employee Pricing platform
  • Employee Assistance Program that supports your physical and mental well-being.
  • Paid Vacation Time and Paid Sick Days
  • 401(k) program with company match
  • Tuition reimbursement programs
  • Numerous learning and advancement opportunities
  • And more!

Leads the strategy and execution of a modern marketing data ecosystem, consolidating customer and campaign data into an Azure Databricks Lakehouse to power segmentation, personalization, and go-to-market execution.
Owns data pipelines, CDP enablement, and lead management capabilities while modernizing legacy processes and ensuring high-quality, scalable, and reliable data for marketing activation.
Partners cross-functionally to translate business needs into data engineering solutions that drive growth and operational efficiency.
Responsibilities
  • Lead the consolidation of customer and marketing data into an Azure Databricks Lakehouse, ensuring scalability and accessibility
  • Design, build, and oversee data pipelines that integrate CRM, Martech, digital, and analytics data sources
  • Enable CDP capabilities including unified customer profiles, identity resolution, and audience segmentation
  • Support go-to-market execution by delivering reliable data for lead management, campaign activation, and reporting
  • Modernize legacy SQL-based list management processes into automated, governed data workflows
  • Establish and enforce data quality, validation, and testing standards, including ownership of UAT processes
  • Partner cross-functionally with Marketing, Analytics, Data Platform, and Martech teams to align data solutions with business needs
  • Translate marketing and business requirements into scalable data engineering solutions
  • Provide technical leadership while driving measurable business impact through improved data reliability and usability

Qualifications
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
  • Strong experience with Azure Databricks and modern cloud data platforms, including building scalable Lakehouse architectures and data pipelines
  • Proficiency in SQL and PySpark, with the ability to work across both modern big data environments and legacy relational systems
  • Hands-on experience integrating CRM, Martech platforms, and digital data sources into unified data models
  • Deep understanding of marketing data domains, including lead management, customer lifecycle, segmentation, and campaign execution
  • Experience supporting and enabling Customer Data Platforms, identity resolution, and customer 360 initiatives
  • Proven ability to modernize legacy SQL-based workflows and manual list pulls into automated, governed pipelines
  • Familiarity with ETL/ELT tools and orchestration frameworks across both modern and traditional stacks
  • Experience establishing and maintaining data quality, validation, and testing processes across mixed technology environments
  • Knowledge of data governance, access controls, and compliance considerations spanning legacy systems and modern platforms
  • Ability to translate marketing and business requirements into scalable technical solutions across evolving data ecosystems
  • Strong collaboration and communication skills to work effectively with Marketing, Analytics, and Technology stakeholders

It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
  • Advanced degree in a related field or relevant certifications in Azure, Databricks, or data engineering
  • Experience working in a hybrid data environment (Databricks alongside legacy data warehouses such as SQL Server)
  • Background in B2B marketing data ecosystems, including lead routing, scoring, and pipeline attribution
  • Prior experience supporting or implementing enterprise CDP platforms
  • Familiarity with MarTech stack integrations (Google/Adobe Analytics, etc.)
  • Experience with data orchestration and workflow tools (e.g., Azure Data Factory) in production environments
  • Knowledge of real-time or event-driven data processing for marketing use cases
  • Exposure to data privacy regulations and consent management (e.g., GDPR, CCPA) in marketing data workflows
  • Familiarity with Agile delivery models and leading data engineering teams in fast-paced environments
  • Experience influencing or driving data platform modernization initiatives at scale

When you join Hilton Grand Vacations, you join a group of Team Members dedicated to helping Owners and Guests around the world make every vacation they take a memorable one. Hilton Grand Vacations is a leading vacation ownership company bringing our Guests vacation dreams to life.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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