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Weekend Amazon Data Engineer Jobs in Orlando, FL

SmartIPlace

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 ...

Pwc

Data Engineer - Manager

Orlando, FL · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Amazon

Regional Q&B Spec

Deltona, FL · On-site

... Engineering, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience - 5+ years of ... weekends, nights, and holidays PREFERRED QUALIFICATIONS - Experience in Lean Management, Six Sigma ...

Amazon

Operations Manager

Deltona, FL · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Mechatronics & Robotics Tech

Orlando, FL · On-site

About Maintenance at Amazon Operations is at the heart of Amazon's business. We are known for our ... Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind ...

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 ...

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 ...

OneBlood

Database Administrator III

Orlando, FL · Hybrid

Azure Data Engineer Associate or AWS equivalent * Oracle Certified Professional (OCP) * Oracle ... Skill using cloud platforms, including Microsoft Azure and Amazon Web Services * Skill using data ...

OneBlood

Database Admin III

Orlando, FL · On-site +1

Azure Data Engineer Associate or AWS equivalent * Oracle Certified Professional (OCP) * Oracle ... Skill using cloud platforms, including Microsoft Azure and Amazon Web Services * Skill using data ...

OneBlood

Database Administrator III

Orlando, FL · Hybrid

Azure Data Engineer Associate or AWS equivalent * Oracle Certified Professional (OCP) * Oracle ... Skill using cloud platforms, including Microsoft Azure and Amazon Web Services * Skill using data ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Orlando, FL

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 Aug 14, 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.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

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[Hybrid]- (W2 ROLE)

SmartIPlace

Orlando, FL • On-site

$106K - $128K/yr

Contractor

Re-posted 16 days ago

Job description

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: Disney

Can be outside Orlando but must relocate to start contract

Responsibilities/What You Will Do:
-Planning and leading research and development related to advanced analytic data solutions, leveraging GenAI.
-Work with business and technology leaders to understand scope and requirements, business , and data from across the company in order to design and deliver the data pipelines necessary for best solutions.
-Consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders.

Requirements:

  • 7+ years experience in data engineering development using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment
  • Experience with a variety of GenAI models, tools, and concepts
  • 5+ years of shown experience and expertise using SQL and Python
  • 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL)
  • Experience translating project scope and high-level requirements into technical data engineering tasks
  • Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
  • Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
  • 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
  • 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4
  • Multiple years of experience with ELT/ETL data pipeline development and maintenance
  • Experience using containerization technologies such as Docker or Kubernetes

Education:

  • Bachelor’s degree (Computer Science, Mathematics, Software Engineering or related field, or equivalent experience)
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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

Social media

Facebook

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