ZipRecruiter

Log In

1

Weekend Amazon Data Engineer Jobs in Appleton, WI

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

... engineering, or cloud architecture * Strong hands-on expertise with AWS services , including: Storage & Compute: * Amazon S3, EC2, Lambda, ECS, EKS Data Processing & Orchestration: * AWS Glue, EMR ...

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.

Salas O'Brien

Senior Structural Engineer

Green Bay, WI · On-site

$97K - $132K/yr

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 ...

Koch Industries

Process Controls Engineer

Neenah, WI · On-site

This role typically does not require on-call, weekends, nights, or travel. Our Team The Neenah ... Any compensation range provided for a role is an estimate determined by available market data. The ...

New

next page

Showing results 1-20

All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Appleton, WI

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:

Weekend Amazon Data Engineer jobs near you

AWS Data Architect

Princeton IT Services

Neenah, WI • On-site

$64.50 - $82.75/hr

Contractor

Re-posted 23 days ago

Job description

Job Title: AWS Data Architect

Location: Neenah, WI

Job type: Contract

Position Overview

We are seeking a highly skilled AWS Data Architect to design, build, and optimize cloud-based data platforms that enable scalable analytics and business intelligence. The ideal candidate will bring deep expertise in AWS cloud services, data modeling, data lakes, ETL/ELT pipelines, and big data ecosystems, and will work closely with engineering and business teams to deliver secure, high-performance data solutions.

Key Responsibilities

  • Design and implement end-to-end data architectures on AWS, including data lakes, data warehouses, and streaming solutions
  • Define data ingestion, transformation, and storage strategies using AWS-native services
  • Architect and oversee ETL/ELT pipelines ensuring reliable, secure, and efficient data flow
  • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable data solutions
  • Establish and enforce data governance, security, and compliance frameworks following AWS best practices
  • Optimize data platforms for performance, scalability, and cost efficiency
  • Lead and support data migration initiatives from on-premises or other cloud platforms to AWS
  • Provide technical leadership, guidance, and mentorship to data engineering teams
  • Document architectures, standards, and best practices

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
  • 7+ years of experience in data architecture, data engineering, or cloud architecture
  • Strong hands-on expertise with AWS services, including:

Storage & Compute:

  • Amazon S3, EC2, Lambda, ECS, EKS

Data Processing & Orchestration:

  • AWS Glue, EMR, Kinesis, Step Functions

Analytics & BI:

  • Amazon Redshift, Athena, QuickSight

Security & Governance:

  • IAM, KMS, Lake Formation
  • Proficiency in SQL and Python
  • Strong experience with ETL frameworks and data pipeline design
  • Solid understanding of data modeling techniques (3NF, Dimensional Modeling, Data Vault)
  • Familiarity with data governance, metadata management, and data quality practices
  • Excellent communication and stakeholder management skills

Preferred Qualifications

  • Experience with large-scale enterprise data platforms
  • Exposure to real-time or streaming data architectures
  • Knowledge of DevOps / CI-CD practices for data platforms
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)