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Weekend Amazon Data Engineer Jobs in Orlando, FL

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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 ... Amazon MWAA, GitLab Runners or UC4 * Multiple years of experience with ELT/ETL data pipeline ...

Amazon

Area Manager II

Deltona, FL · On-site

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

Working within our Technology & Engineering Practice, you will enable AI Engineers and Data ... Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS ...

AllSTEM Connections

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 ...

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Weekend Amazon Data Engineer information

See Orlando, FL salary details

$41.5K

$121.1K

$165.7K

How much do weekend amazon data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend amazon 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 Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

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

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

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

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

Weekend Amazon Data Engineer jobs near you

Data Engineer

The Walt Disney Company

Lake Buena Vista, FL

$101K - $136K/yr

Full-time

Posted 14 days ago

Walt Disney Company rating

7.6

Company rating: 7.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

5th of 52 rated entertainment

Job description

Job Posting Title:

Data Engineer

Req ID:

10153225

Job Description:

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making.

What You Will Do

The Data Engineering team leads the acquisition and processing of all data needed for projects across DDSI. A key initiative for this role will be to support Disney's enterprise Data Unification initiative by building and maintaining the technical foundations that enable seamless access to federated data across the enterprise. You will work closely with the Ontology/Semantic Librarian, data science, and business teams to implement and optimize unified data access patterns, federated querying capabilities, and semantic integration solutions.

You will focus on enabling efficient discovery and querying of heterogeneous data sources through semantic layers, knowledge graphs, and GraphQL interfaces. This includes building and enhancing components that allow users and AI agents to query across a variety of data sources. You will also implement data pipelines and integration processes as needed to support data unification, semantic modeling, and AI use cases. In addition to strong technical capabilities, the role is responsible for developing an understanding of the business domain and processes, then applying that knowledge to the assigned deliverables.

Basic Qualifications

  • 3+ years of experience in data engineering, data platform development, or backend engineering roles

  • Strong experience implementing federated data access solutions and unified query layers

  • Proficiency with GraphQL for building semantic data interfaces and APIs

  • Hands-on experience with cloud data platforms such as Snowflake, Databricks, PostgreSQL, or S3

  • Proficiency using Python and SQL for data integration and transformation tasks

  • Experience working with heterogeneous and federated data sources, including streaming platforms like Kafka

  • Familiarity with semantic technologies, knowledge graphs, or ontology-driven architectures

  • Familiarity with vector databases and/or graph databases (e.g., Qdrant, Neo4j, or Amazon Neptune)

  • Experience building or maintaining data pipelines and integration processes to support semantic and AI use cases

  • Understanding of RAG architectures, embeddings, and LLM-augmented data access patterns

  • Experience working in multi-environment setups (Dev, QA, Prod) with DevOps practices and source control (Git)

  • Understanding of data modeling, query optimization, and API development

Desired Qualifications

  • Hands-on experience with vector databases or graph databases

  • Experience with semantic layers, knowledge graphs, or ontology-driven data architectures

  • Experience working with federated query engines (e.g., Trino/Presto, Apache Iceberg)

  • Experience with data orchestration tools such as Apache Airflow or Apache Flink

  • Experience working with GenAI APIs or frameworks (e.g., OpenAI, LangChain, AWS Bedrock)

  • Knowledgeable on cloud architecture and product offerings, preferably AWS

  • Experience leveraging containerization technologies such as Docker or Kubernetes

  • Demonstrated proficiency with API development

  • Business knowledge with media, entertainment, or hospitality

Required Education

  • Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience

Preferred Education

  • Master's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience

#DISNEYTECH

#DisneyAnalytics

The hiring range for this position in Lake Buena Vista, FL is $101,800 to $136,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-06-25

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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