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Weekend Amazon Data Engineer Jobs in Rochester, NY

Systems Engineer II

Rochester, NY · On-site

$77.22K - $115.82K/yr

... as Amazon Web Services and Microsoft Azure - Knowledge of server hardware and storage array ... weekend maintenance and implementation activities - Ability to travel to and from Data Center ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

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... Amazon Web Services, and Google Cloud Platform, including integrations * Provide hands-on support ... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ...

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Weekend Amazon Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

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

As of Jun 3, 2026, the average yearly pay for weekend amazon data engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

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 does a typical weekend look like for an 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 Weekend Amazon Data Engineers?

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 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 Rochester, NY? The most popular types of Amazon Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Weekend Amazon Data Engineer jobs? Cities near Rochester, NY with the most Weekend Amazon Data Engineer job openings:
Systems Engineer II

Systems Engineer II

University of Rochester

Rochester, NY • On-site

$77.22K - $115.82K/yr

Full-time

Posted 20 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

94th of 532 rated colleges and universities


Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
601 Elmwood Ave, Rochester, New York, United States of America, 14642
Opening:
Worker Subtype:
Regular
Time Type:
Full time
Scheduled Weekly Hours:
40
Department:
500291 Lab Computer Fac-Clin Labs SMH
Work Shift:
UR - Day (United States of America)
Range:
UR URG 113
Compensation Range:
$77,216.00 - $115,824.00
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
The Systems Engineer II shares responsibility for management and administration of on-premise and cloud-based infrastructure services, including virtual infrastructure, operating systems, storage, maintenance and security patching, backup and disaster recovery preparedness and performance monitoring. Orchestrating and performing automated tasks are key deliverables of this role. Design, setup and maintenance of a continuous infrastructure integration stack, including source control, build servers, automated testing, automated monitoring and solution deployment will be required.
The Systems Engineer II shares responsibility for management and administration of on-premise and cloud-based infrastructure services, including virtual infrastructure, operating systems, storage, maintenance and security patching, backup and disaster recovery preparedness and performance monitoring. Orchestrating and performing automated tasks are key deliverables of this role. Design, setup and maintenance of a continuous infrastructure integration stack, including source control, build servers, automated testing, automated monitoring and solution deployment will be required.
JOB DUTIES AND RESPONSIBILITIES:
- Prepares use case requirements, design solutions and deploys on-premise or cloud based infrastructure. Demonstrates advanced knowledge of on-premise virtual infrastructure, specifically in clustered high availability environments. Integrates on-premise solutions with cloud solutions. Automates and deploys solutions hosted on both cloud services and on-premise infrastructure.
- Independently completes proactive performance monitoring, analysis, alerting, reporting, and tuning. Independently completes capacity analyses and provision solutions. Completes maintenance activities including deploying patches and ensuring that firmware and software are up to date. Independently completes incident and problem analysis reports, resolves and completes follow-up tasks to ensure platform stability. Escalates when appropriate.
- Performs and advises others on implementation and maintenance activities during business hours as well as outside of business hours.
- Serves in 24-hour on-call rotations when scheduled. Escalates the most consequential issues.
- Maintains an interoperability Matrix in order to ensure cross-vendor compatibility. Creates and reviews technical documentation including solution designs and reference guides. Evaluates new products and services that will help enhance the delivery of infrastructure services.
- Prepares necessary paperwork and documentation to ensure conformance to University standards and procedures.
- Maintains a broad knowledge of technology, equipment, and/or systems.
Other duties as assigned
QUALIFICATIONS:
- High School Diploma or GED equivalent required
- Bachelor's degree in related discipline such as Computer Science, Business, Data Science, Engineering preferred
- or an equivalent combination of education and experience
- 5 years of related experience required or equivalent combination of education and experience
- Experience in higher education field and/or a healthcare environment preferred.
- Expertise with virtualization technology and cloud providers such as Amazon Web Services and Microsoft Azure
- Knowledge of server hardware and storage array networks
- Excellent verbal and written communications skills and exemplary speaking and presentation skills, as well as the ability to interact with all levels of staff, as appropriate, to communicate, and to process communications from others on technical change; Ability to present technology in non-technical terms and recognize the extent to which a given audience requires this
- Ability to provide on-call support as required, as well as ability to perform after-hours and weekend maintenance and implementation activities
- Ability to travel to and from Data Center facilities
- Strong scripting skills
- Expertise with server operating systems and orchestration and automation tools.
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

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