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Weekend Amazon Data Engineer Jobs in Green Bay, WI

McKinley Paper

Process Engineer

Combined Locks, WI

Collect and analyze process data using statistical methods to support process improvements and ... Support weekend duty coverage as required. * Perform additional tasks as assigned by supervisor.

MasTec Industrial

Field Engineer

Green Bay, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... longer weekend every four weeks for additional time at home. COMPANY OVERVIEW: MasTec's Clean ... Generate change orders and as-built data to be reviewed by the Project Manager. * Drive the ...

Salas O'Brien

Senior Structural Engineer

Green Bay, WI · On-site

$97K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our specialized experience includes design for data centers, healthcare, science and technology ... Hours average 40 per week; may require additional hours including evening and weekends depending on ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Green Bay, WI

Weekend Amazon Data Engineer information

See Green Bay, WI salary details

$43.3K

$126.2K

$172.6K

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

As of Aug 16, 2026, the average yearly pay for weekend amazon data engineer in Green Bay, WI is $126,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,700.00 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 Green Bay, WI are hiring for Weekend Amazon Data Engineer jobs?

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

Weekend Amazon Data Engineer jobs near you

Process Engineer

McKinley Paper

Combined Locks, WI

Full-time

Posted 18 days ago

Job description

McKinley Paper’s Wisconsin Mill, located in the heart of “Paper Valley” between Appleton and Green Bay, is seeking a Process Engineer to join its Technical Department. As part of a proud tradition of papermaking since 1889, McKinley Wisconsin is dedicated to producing high-quality, 100% recycled paperboard and paper bags. The Process Engineer will play a key role in supporting daily operations, driving process improvements, and collaborating with cross-functional teams to ensure safety, quality, and efficiency. This is an excellent opportunity to join a dedicated team and contribute to the ongoing success and growth of a historic mill within the McKinley division of Bio Pappel.

Responsibilities
  • Troubleshoot daily production issues related to process, technical, and systems aspects.
  • Coordinate product development activities in collaboration with Production, Sales, and Corporate teams.
  • Work with Engineering, Production, Technical, and Process Control teams to review and recommend equipment or process changes.
  • Collect and analyze process data using statistical methods to support process improvements and trial evaluations.
  • Identify and trial new process materials in partnership with Production teams.
  • Develop and maintain strong relationships with internal and external customers and suppliers.
  • Participate in cost reduction initiatives and continuous improvement projects.
  • Support weekend duty coverage as required.
  • Perform additional tasks as assigned by supervisor.
Qualifications
  • Bachelor’s degree in Chemical Engineering, Paper Science, or a closely related field.
  • 2 to 4 years of professional experience in a relevant industry preferred.
  • Advanced proficiency in Microsoft Excel, PowerPoint, and Word.
  • Experience with production systems such as Pi, ParcView, and ERP systems (especially SAP) is helpful.
  • Excellent oral and written communication skills, including the ability to write clear technical reports and present to small groups.
  • Ability to communicate complex technical concepts to non-engineering staff.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Creativity and intellectual curiosity.