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Data Engineer Jobs in Orlando, FL (NOW HIRING)

Professional Staffing Services

Data Engineer

Orlando, FL · Hybrid

$50 - $65/hr

Job Summary - Data Engineer - 2 month contract with possibility to extend Location: Orlando, FL 32809 (hybrid) Schedule: Full time, M - F 8:00a-5:00p Pay: $50 - $65/hr Position Overview We are ...

New

RIT Solutions, Inc.

Data Engineer

Altamonte Springs, FL · On-site

$107K - $129K/yr

RIT Solutions, Inc. is seeking a Data Engineer to assist with building a generic database and visualizing data for their team. The role involves creating dashboards and requires a background in data ...

Stellar IT Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer Location: Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month contract Role Overview We are seeking a Data Engineer to support the Finance and BI teams by automating ...

Kanak Elite Services Inc

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python * 1+ years of proven experience ...

Disney Experiences Careers

Lead Data Engineer

Orlando, FL

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll ...

New

Disney Experiences

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll ...

New

Disney Experiences Careers

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You'll ...

New

Brooksource

Data Engineer

Lake Mary, FL · On-site

$55 - $65/hr

... data quality, identifying and resolving issues before they impact users • Contribute as an independent engineer, taking initiative with minimal direction and balancing technical excellence with ...

AAA National

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$90K - $115K/yr

We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations. In this role, you ...

AAA, Inc.

Data Engineer (Hybrid)

Lake Mary, FL · On-site

$92K - $116K/hr

We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations. In this role, you ...

The Walt Disney Company

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Lead Data Engineer Req ID: 10155285 About the Role & Team "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company ...

The Walt Disney Company

Lead Data Engineer

Orlando, FL · On-site

$148K - $198K/yr

Lead Data Engineer Req ID: 10155437 About The Role & Team Do you want to lead the development of tools that data engineers and business users rely on every day to build, ship, and govern data ...

Pwc

Data Engineer - Senior Manager

Orlando, 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 ...

The Walt Disney Company

Lead Data Engineer

Orlando, FL · On-site

$148 - $199/hr

Lead Data Engineer Job ID 10155437 Location Orlando, Florida, United States Business Disney Experiences Date posted Aug. 26, 2026 Job Summary: About The Role & Team Do you want to lead the ...

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All JobsData Engineer JobsData Engineer Jobs in Orlando, FL

Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer in Orlando, FL is $121,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $128,400.00 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 Orlando, FL?

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

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,092 per year, or $58.2 per hour.

Data Engineer

Professional Staffing Services Group

Orlando, FL • On-site

$50 - $65/hr

Full-time, Contractor

Posted 2 days ago

New

Job description

Job Summary - Data Engineer - 2 month contract with possibility to extendLocation: Orlando, FL 32809 (hybrid)Schedule: Full time, M - F 8:00a-5:00pPay: $50 - $65/hrPosition OverviewWe are seeking an experienced Data Engineer with a deep foundation in SQL, ETL development, and enterprise data warehousing. In this role, you will design, build, and optimize scalable data infrastructure to support complex analytics, machine learning, and business intelligence. You will architect modern cloud data topologies, work with both batch and streaming pipelines, and design schemas tailored for both traditional reporting and modern AI-driven workloads.Responsibilities & DutiesPipeline & Scripting Development: Design, develop, and deploy Python scripts and robust ETL/ELT processes to prepare structured, semi-structured, and unstructured data for analysis.Data Modeling: Model dimensional (star/snowflake) and denormalized schemas optimized for performant enterprise reporting, discovery, and analytics.AI & Knowledge Architecture: Design AI-friendly database schemas, ontologies, and data structures to power advanced analytics and AI applications.Cloud Architecture & Topology: Architect enterprise cloud ops solutions for data topologies, working across cloud-based data environments.Real-Time Data Processing: Implement and manage event-based and streaming technologies for real-time data ingestion and processing.Optimization & Performance: Tune ETL jobs and SQL queries for maximum performance and scalability to seamlessly handle big data workloads.Maintenance & Troubleshooting: Proactively monitor pipelines, identify bottlenecks, and resolve operational issues to ensure high data reliability.Database Programming & Reverse Engineering: Write advanced SQL queries and stored procedures while reverse engineering existing data pipelines to improve architecture.Quality Assurance & Standards: Perform rigorous code reviews to ensure alignment with business requirements, optimal execution patterns, and architectural standards.DevOps & Release Management: Support automated release management and continuous integration/continuous deployment (CI/CD) processes.Data Quality & Governance: Validate and cleanse incoming data while designing fault-tolerant pipelines that handle error conditions gracefully.Requirements5+ years writing complex SQL queries and working with relational database management systems (RDBMS).5+ years of hands-on experience developing, deploying, and maintaining production-grade ETL/ELT pipelines.Demonstrated experience with cloud-based data warehouses and environments (e.g., Snowflake, AWS Redshift, AWS RDS).Strong understanding of data warehouse design principles, including OLTP vs. OLAP, Fact and Dimension modeling, and denormalization.Hands-on experience with cloud-based data architectures, messaging protocols, and enterprise analytics platforms.Education: Bachelor's degree in Computer Science, Information Systems, Software Engineering, or equivalent experience preferred.Preferred Qualifications (Pluses)Strong proficiency with Python, dbt, and Pandas for data transformation.Containerization experience using Docker and Kubernetes.Experience building and maintaining CI/CD pipelines for data infrastructure.Familiarity with serverless cloud workflows (e.g., AWS Lambdas, Step Functions).Experience with advanced big data techniques, including data partitioning and performance tuning.Active Cloud Certifications (e.g., AWS Certified Data Engineer, Snowflake Certified, GCP Data Engineer).