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Weekend Amazon Data Engineer Jobs in Appleton, WI

... engineering to make recommendations for appropriate adjustments as necessary * Perform process ... Collect and record data on process conditions for analysis and generate reports * Clean and ...

Collaborate cross-functionally with Product, Engineering, and other teams to enhance the overall ... Are results-oriented, data-savvy, and proactive in solving challenges. * Enjoy working with people ...

Collaborate cross-functionally with Product, Engineering, and other teams to enhance the overall ... Are results-oriented, data-savvy, and proactive in solving challenges. * Enjoy working with people ...

What you'll do: Eaton's Engineering Service & Systems Division is seeking an Associate Field ... data entry around reports Team Benefits: • Guaranteed 40-hour base pay, eligible for overtime and ...

Showing results 21-40

Weekend Amazon Data Engineer information

See Appleton, WI salary details

$43.4K

$126.6K

$173.2K

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

As of Aug 15, 2026, the average yearly pay for weekend amazon data engineer in Appleton, WI is $126,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $134,200.00 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 cities near Appleton, WI are hiring for Weekend Amazon Data Engineer jobs?

Cities near Appleton, WI with the most Weekend Amazon Data Engineer job openings:

Digital Customer Experience Lead

Oshkosh Corporation

Oshkosh, WI • On-site

Full-time

Re-posted 11 days ago


Oshkosh Corporation rating

7.4

Company rating: 7.4 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

286th of 489 rated machine equipment manufacturers


Job description

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.

SUMMARY

At Oshkosh, we build, serve, and protect people and communities by designing the toughest specialty vehicles on the planet. As we are evolving into an Industrial Technology Company, we are seeking a visionary to lead the technical evolution of our customer touchpoints.

This role partners with cross-functional leaders to help shape the strategy, architecture, and execution of our global E-Commerce, CRM, and AI-driven customer-facing experiences. You will serve as a trusted advisor and subject matter expert, helping transform reactive service into predictive partnerships while ensuring our B2E (Business to Everyone) customers have a seamless, "Amazon-like" experience across all channels, from the office desktop to field-service mobile applications.

YOUR IMPACT

These duties are not meant to be all-inclusive and other duties may be assigned:

Guide AI Innovation for High-Volume E-Commerce

  • Support the operations of high-volume, high-transaction e-commerce platforms, helping ensure uptime and world class performance during peak demand periods for global parts and services.

  • Design and enhance data pipelines that ingest IoT telemetry into the Salesforce Data Cloud to trigger automated "Service-to-Sale" workflows and targeted parts sales that strengthen our Aftermarket footprint across all Oshkosh segments.

  • Support the implementation of AI agents to provide 24/7 technical support, utilizing natural language to query technical manuals and parts catalogs creating a self-service model for customers to drive fleet uptime regardless of geographic location or language.

  • Develop ML-driven recommendation engines for the storefront that suggest parts based on specific fleet wear-patterns and historical lifecycle data.

Transform Omnichannel, Mobile-First & Connected Job Sites Experiences

  • Support the digital infrastructure for "Intelligent Job Sites," where IoT-connected vehicles, autonomous equipment, and personnel operate within a unified ecosystem.

  • Field-First Philosophy: Advocate for a mobile-first ecosystem, developing Progressive Web Apps (PWA) and native tools designed for "offline-first" functionality in remote job sites or fire stations.

  • Partner with Product Engineering teams to create geofencing and mobile push-notifications to alert fleet managers of service needs the moment a vehicle enters a registered service bay.

  • Help shape hyper-personalized, trigger-based email marketing campaigns that leverage CRM data and machine telemetry.

  • Contribute to the technical roadmap for "Single Sign-On" (SSO) to support a persistent customer "Golden Record" across all brand portals (JLG, Pierce, McNeilus).

Develop a CRM Modernization Strategy to Achieve "One CRM"

  • Support the evolution of the CRM from a system of record to a system of intelligence. This includes helping to support and guide a multi-cloud CRM environment with complex account hierarchies.

  • Support CRM capabilities as a "Single Source of Truth," integrating bi-directional data flows between ERPs, E-Commerce, and Marketing Automation.

  • Support the transition to a headless, composable architecture, decoupling front-end experiences from back-end ERP systems.

  • Support contextualized data flows into the CRM to improve customer engagement while providing sales teams with "Next Best Action" guidance.

MINIMUM QUALIFICATIONS:

  • Bachelors degree with five (5) or more years of experience in the field or in a related area.

  • Office, PowerPoint, Visio, Excel, Integrations, Data Analysis, ITIL and BA practice knowledge

  • B2B E-Commerce and CRM experience

  • Communication, listening, critical thinking, adaptability, relationship building, organization, influencing, problem solving, negotiation, business acumen, strategy, emotional intelligence, leadership, financial forecasting, storytelling skills

STANDOUT QUALIFICATIONS

  • Experience supporting enterprise-scale e-commerce platforms and architectures serving global markets.

  • Strong understanding of digital sales cycles, aftermarket operations, and marketing strategies that support the end-to-end customer experience journey.

  • Experience with IoT integration and telematics, leveraging machine data to drive customer engagement and business value.

  • Understanding of LLM orchestration, vector databases, and AI Agent frameworks.

  • Expertise in Salesforce (Data, Service, Marketing, and Commerce Clouds) and Headless Commerce, along with a strong understanding of ERP systems.

  • Proficiency with integration technologies supporting complex ERP-to-Cloud solutions and enterprise data flows.

  • Experience leading complex initiatives, influencing cross-functional teams, and supporting large-scale digital transformation efforts.

Pay Range:

$118,700.00 - $211,300.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.

Oshkosh Corporation is a merit-based Equal Opportunity Employer.Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.

Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.

Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.


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