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Weekend Data Engineer Jobs in Orlando, FL (NOW HIRING)

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

Title: Sr. Data Engineer Duration: 12+ month Contract - Hybrid (3 days on site) Location: Orlando FL Preferred Responsibilities / What You Will Do * Plan and lead research and development for ...

Data Engineer[Hybrid]- (W2 ROLE)

Orlando, FL · On-site

$106K - $128K/yr

Title: Data Engineer- W2 ROLE Duration: 12-month contract, can extend to 24 months Role Type: Hybrid, 3 days onsite, 2 remote Interview: Video Visa: USC or GC only Location: Orlando, Fl Client:

Senior Data Engineer

Orlando, FL · On-site

$99K - $134K/yr

We are looking for a Senior Data Engineer to design, build, and operate modern data platforms at scale. You will work across cloud-native Azure infrastructure, Microsoft Fabric, Azure SQL, and AWS ...

New

Senior Data Engineer

Orlando, FL · On-site

$98K - $134K/yr

Intellisoft Technologies is seeking a Senior Data Engineer for Disney Streaming, a leading premium streaming service. The role involves building foundational datasets from clickstream and quality of ...

Senior Data Engineer

Orlando, FL · On-site

$98K - $134K/yr

Intellisoft Technologies is working with Disney Streaming, a leading premium streaming service, to find a Senior Data Engineer. The successful candidate will build foundational datasets from ...

Data Solutions Engineer

Orlando, FL

$106K - $128K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and developing enterprise data solutions. This role works across the data lifecycle, including data analysis ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Data Engineering & Feature Discovery (20%) • Assist in the collection, cleaning, and organization ... weekends and holidays). Equal Opportunity Employer / Disabled / Protected Veterans The Know Your ...

Showing results 21-40

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 4, 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:

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 [Hybrid] w2 role

SmartIPlace

Orlando, FL • On-site

$106K - $128K/yr

Contractor

Re-posted 7 days ago


Job description

Title: Sr. Data Engineer

Duration: 12+ month

Contract - Hybrid (3 days on site)

Location: Orlando FL Preferred 

Responsibilities / What You Will Do

  • Plan and lead research and development for advanced analytical data solutions, including the use of generative AI.
  • Partner with business and technical stakeholders to gather requirements, understand data sources, and design and build effective data pipelines.
  • Collaborate with project team members, lead design reviews, contribute hands-on development, and communicate progress and solutions to stakeholders.

Requirements

  • 7+ years of data engineering experience across multiple environments (e.g., Dev, QA, Production) with DevOps practices for code deployment.
  • Experience working with a range of generative AI models, tools, and concepts. * Must Have 
  • 5+ years of proven experience using SQL and Python. * Must Have 
  • 3+ years of experience designing and building relational databases (e.g., Snowflake, PostgreSQL, or similar). * Must have 
  • Experience translating high-level requirements into technical data engineering tasks.
  • Experience developing solutions for complex data engineering challenges that support advanced analytics.
  • Familiarity with concepts such as Knowledge Graphs, Data Mesh, and data-sharing platforms.
  • 3+ years of experience managing and deploying code with source control tools (e.g., Git-based platforms).
  • 2+ years of experience with job scheduling and orchestration tools (e.g., Airflow or similar).
  • Several years of experience building and maintaining ELT/ETL data pipelines*Must Have 
  • Experience with containerization technologies (e.g., Docker, Kubernetes). *Must Have 

Education

  • Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or a related field, or equivalent practical experience.
  • 15+ Years of IT experience if no Bachelor's degree 

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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