1

Weekend Amazon Data Engineer Jobs in Wisconsin (NOW HIRING)

... AI&Data including hands on experience with one of the following key platforms/products; Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

$61 - $81/hr

Amazon Connect or comparable contact center telephony platforms * Data platforms (Databricks ... You grow engineers. You hire well, develop your team, and create the kind of operating environment ...

About Maintenance at Amazon Operations is at the heart of Amazon's business. We are known for our ... Reliability Maintenance & Engineering (RME) are the business partners that work tirelessly behind ...

next page

Showing results 1-20

Weekend Amazon Data Engineer information

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 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 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 Wisconsin? The most popular types of Amazon Data Engineer jobs in Wisconsin are:
What are popular job titles related to Weekend Amazon Data Engineer jobs in Wisconsin? For Weekend Amazon Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Wisconsin look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Weekend Amazon Data Engineer jobs? Cities in Wisconsin with the most Weekend Amazon Data Engineer job openings:

Urgent Need: AWS Data Platform Enablement Specialist in WI

Vertex Elite LLC

Neenah, WI โ€ข On-site

Contractor

Posted 19 hours ago


Job description

Overview:

We are seeking an experiencedย AWS Data Platform Enablement Specialistย to support our clientโ€™s onboarding and training efforts. The ideal candidate will guide the clientโ€™s technical team through the AWS-based data platform that has already been developed, provide knowledge transfer sessions, and be available to answer ongoing questions without impacting core delivery timelines.


Key Responsibilities:

  • Serve as the primary point of contact for the clientโ€™s technical team during onboarding
  • Conduct in-depth walkthroughs of the implemented AWS data platform, including:
    • Data ingestion pipelines
    • ETL/ELT processes (Appflow, Glue, Lambda Functions)
    • Storage layers (S3, Redshift, etc.)
    • Query layers (Athena, Redshift, BI tools)
    • Monitoring and logging
  • Clarify existing documentation and help fill knowledge gaps
  • Assist the team with navigating AWS services and consoles
  • Enable users to run and monitor jobs, troubleshoot common issues, and understand platform behavior
  • Facilitate working sessions to build confidence in using and maintaining the platform
  • Document recurring questions and provide tailored FAQs or cheat sheets
  • Provide input on any missing documentation or training materials that would improve adoption

Required Skills & Experience:

  • 4+ years of experience in cloud-based data engineering or platform support
  • Strong hands-on experience with AWS services, especially:
    • Amazon S3
    • Open Table Formats (Apache Iceberg)
    • AWS Glue (jobs, crawlers, workflows)
    • Athena and Redshift
    • Lambda, SNS
    • CloudWatch (logs, alarms)
  • Solid understanding of data pipeline architecture and development lifecycles
  • Excellent communication and interpersonal skills โ€” must be able to simplify technical concepts for non-cloud-native teams
  • Prior experience delivering KT sessions or onboarding support for cloud/data platforms
  • Comfortable working independently and managing client interactions

Additional Qualifications:

  • Experience with BI tools like Tableau, or SAC
  • Familiarity with data governance and metadata practices