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Weekend Amazon Data Engineer Jobs in Orlando, FL

Lead Engineer

Orlando, FL · On-site

$58K - $93K/yr

Lead field data collection studies to ground your models in real-world observations. • ... A willingness to support a 24/7/365 operation, including high-demand periods (weekends/holidays) to ...

Senior Engineer

Orlando, FL · On-site

$97K - $134K/yr

This includes designing and developing technical data for aircraft repairs and modifications ... weekend work. International travel may be required * Provides engineering technical support for ...

: Lead Engineer

Orlando, FL · On-site

$93K/yr

Lead Industrial Engineer (Operations Strategy & Analytics) Role Overview We are seeking a data ... weekends, holidays, and special events). Qualifications & Requirements • Education: Bachelor ...

... data centers, commercial buildings, and labs * Perform psychrometric chart analyses and study ... Willingness to travel on short notice, including occasional nights and weekends for emergency ...

... data centers, commercial buildings, and labs * Perform psychrometric chart analyses and study ... Willingness to travel on short notice, including occasional nights and weekends for emergency ...

Showing results 21-40

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:

$58K - $93K/yr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Job description

Job Title: Lead Industrial & Operations Research Engineer
Role Overview
We are seeking a Lead Industrial & Operations Research Engineer to join our systems optimization team. You will be the architect of our efficiency initiatives, using advanced analytical techniques to solve complex operational challenges. From mapping intricate process flows to building predictive models that determine optimal capacity, you will provide the data-driven insights that guide our most critical business decisions.
This is a high-impact role for an engineer who excels at bridging the gap between raw data and actionable strategy. You will spend your time both in the field-collecting data and observing frontline operations-and at your desk, applying mathematical modeling, queuing theory, and simulation to engineer systemic improvements.
Key Responsibilities
Systems Engineering & Optimization (40%)
• Methodological Leadership: Apply comprehensive Industrial Engineering (IE) and Operations Research (OR) principles to departmental projects. Utilize unique analytical techniques-including probability and statistics, process flow analysis, queuing theory, and mathematical optimization-to identify root causes and design robust, scalable solutions.
• Institutionalize Change: Own the process of engineering, implementing, and institutionalizing systemic changes that improve operational performance and efficiency.
Data Analysis & Modeling (35%)
• Data Synthesis: Extract insights from complex datasets using advanced querying tools. Lead field data collection studies to ground your models in real-world observations.
• Sophisticated Modeling: Conduct computer simulations and statistical modeling to stress-test our current operations and simulate "what-if" scenarios for future operational states.
Strategic Communication (25%)
• Executive Advocacy: Develop compelling business cases and data-rich presentations. You must be able to translate complex mathematical outcomes into intuitive insights for everyone from frontline stakeholders to senior executive leadership.
Qualifications & Requirements
Minimum Qualifications
• Education: Bachelor's degree in Industrial Engineering, Operations Research, Management Science, or a closely related quantitative field.
• Experience Baseline: Minimum of three (3) years of applied experience in industrial engineering or operational analysis.
• Field Proficiency: Proven ability to conduct field studies/data collection in active operational environments.
• Technical Mastery: Strong command of spreadsheet modeling, database querying, and statistical analysis software.
Preferred Attributes
• Advanced Degree: Master's degree in Industrial Engineering, Operations Research, or a related field.
• Tooling Proficiency: Knowledge of data programming languages (e.g., Python, SQL) and visualization tools (e.g., Power BI). Familiarity with statistical software (e.g., R, SPSS).
• Operational Adaptability: Experience performing analyses for large-scale, high-demand operational venues where capacity and throughput are critical.
• Resilience: A willingness to support a 24/7/365 operation, including high-demand periods (weekends/holidays) to observe systems during peak performance.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA