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Weekend Amazon Data Engineer Jobs in Naples, FL (NOW HIRING)

Hertz

Sr Data Engineer

Estero, FL · On-site

$130K/yr

A Day in the Life The Senior Data Engineer will be responsible for designing, building, and ... Experience with event-driven and streaming technologies such as Kafka or Amazon Kinesis. * Strong ...

The Hertz Corporation

Sr Data Engineer

Estero, FL

$130K/yr

A Day in the Life The Senior Data Engineer will be responsible for designing, building, and ... Experience with event-driven and streaming technologies such as Kafka or Amazon Kinesis. * Strong ...

Herc Rentals

Senior Network Engineer

Bonita Springs, FL · On-site

$97K - $134K/yr

Design, configure, implement, and support Fortinet Secure SD-WAN deployments across branch, data ... Provide on-call support, including nights, weekends, and/or holidays, for SD-WAN and network ...

Parker

Facilities Supervisor

Naples, FL · On-site

Our passionate people with deep engineering expertise, together with our breadth of differentiated ... Proficiency with Microsoft Word and Excel for documentation, reporting, and data tracking.

Troon Golf

Spa Concierge Desk Attendant

Naples, FL · On-site

$14 - $17.25/hr

Schedule: Part-time; Must have weekend and evening availability. Daily Operations/ Scope of ... Must have the ability to assimilate complex information, data, etc., from disparate sources and ...

Troon

Spa Concierge Desk Attendant

Naples, FL · On-site

$14 - $17.25/hr

Schedule: Part-time; Must have weekend and evening availability. Daily Operations/ Scope of ... Must have the ability to assimilate complex information, data, etc., from disparate sources and ...

CRH

Customer Service Representative

Fort Myers, FL · On-site

$15.25 - $20.75/hr

... developers, architects, engineers, contractors, builders and suppliers a wide variety of ... May perform other related duties such as input data into computer, ticket timer, shop timecards ...

Audubon

Volunteer and Membership Assistant

Naples, FL

$20/hr

... programming, event planning and delivery, and data tracking. This position is classified as ... Ability to work a flexible schedule, including weekends and evenings on occasion. * Ability to lift ...

CYNET SYSTEMS

Phlebotomist II - Float

Naples, FL · On-site

$25 - $27/hr

Flexible and available based on staffing needs, which includes weekends, holidays, on-call and ... Keyboard/data entry experience. * Floaters travel in between multiple sites and are expected to be ...

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Weekend Amazon Data Engineer information

See Naples, FL salary details

$41.9K

$122.2K

$167.2K

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

As of Aug 24, 2026, the average yearly pay for weekend amazon data engineer in Naples, FL is $122,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $129,500.00 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 cities near Naples, FL are hiring for Weekend Amazon Data Engineer jobs?

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

Weekend Amazon Data Engineer jobs near you

Sr Data Engineer

Hertz

Estero, FL • On-site

$130K/yr

Full-time

Posted 7 days ago

Hertz rating

6.3

Company rating: 6.3 out of 10

Based on 197 frontline employees who took The Breakroom Quiz

139th of 175 rated vehicle equipment hire

Job description


A Day in the Life
The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and workflows that support analytics, business intelligence, machine learning, and software products. This role partners closely with Data Scientists, Engineers, Analysts, Developers, and business stakeholders to deliver trusted, high-quality data solutions that drive operational efficiency and data-driven decision making.
As part of a 12-person Data Engineering team, this individual will help build and maintain a single source of truth for enterprise data. The role is heavily focused on the engineering side of the platform, developing and optimizing Silver and Gold layer data assets that support reporting, analytics, and downstream business applications.
Anticipated hiring rate starts at: $130,000. Actual base salary will be determined based on work location, relevant experience, skills, qualification and other job related factors.
Visa sponsorship is not available for these roles.
What You'll Do
  • Design, build, and maintain scalable ETL/ELT pipelines and data workflows.
  • Develop and optimize Silver and Gold layer datasets within a modern data lake architecture.
  • Build data integrations supporting analytics, reporting, machine learning, and operational use cases.
  • Perform data ingestion, cleansing, transformation, migration, and validation activities.
  • Develop automated workflows to improve operational efficiency and data reliability.
  • Ensure data quality, integrity, and performance across enterprise data platforms.
  • Support batch and streaming data processing initiatives.
  • Design, implement, test, and document data pipelines and integrations.
  • Identify opportunities to simplify, automate, and modernize existing data processes.
  • Partner with cross-functional teams to deliver trusted, curated datasets for business consumption.
  • Mentor junior engineers and promote data engineering best practices.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • 8+ years of hands-on Data Engineering or ETL development experience.
  • 2+ years of experience working with Data Lakes in a cloud environment.
  • Strong experience building and supporting enterprise-scale ETL/ELT solutions.
  • Hands-on experience with Databricks and/or PySpark.
  • Experience developing and optimizing data pipelines within modern lakehouse architectures.
  • Experience with ETL tools such as Informatica.
  • Experience with event-driven and streaming technologies such as Kafka or Amazon Kinesis.
  • Strong programming skills in Python, Scala, Java, or similar languages.
  • Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications
  • Experience with Azure and/or AWS cloud platforms.
  • Experience supporting Medallion Architecture, including Silver and Gold layers.
  • Experience improving data quality, governance, and operational efficiency.
  • Experience building streaming and real-time data processing solutions.
  • Agile/Scrum experience.

About Us
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
US EEO STATEMENT
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company.
Individuals are encouraged to apply for positions because of the characteristics that make them unique.
EOE, including disability/veteran

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