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Weekend 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

$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

$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 ...

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 ...

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Orlando, FL

Weekend Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do weekend data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for weekend 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 weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

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 Weekend Data Engineer jobs in Orlando, FL?

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

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

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

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

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

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% 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).