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Weekend Amazon Data Engineer Jobs in Wisconsin (NOW HIRING)

DTN (Data Transmission Network)

WI · On-site

$109.40 - $145.80/hr

Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon ... Document data engineering processes, standards, and best practices to promote adoption across teams.

Axxes IT Consultancy

WI · On-site

$80 - $100/hr

Binnen Axxes zijn we continue op zoek naar gedreven Data Engineers om onze Data League te ... Denk aan een fijne sfeer, team-weekends, jaarlijkse ski-reis, maandelijkse drinks en meer.

Neumo

WI · On-site

$110 - $180/hr

Support the Amazon Aurora migration by ensuring downstream pipelines, extracts, and reporting move cleanly as source systems migrate, and by validating data integrity through cutover. * Build ...

New

Latent AI

WI · On-site

$90 - $120/hr

Data Engineer (Starship) The Starship Supply Chain team is building the machine that builds the ... Must be able to work extended hours and/or weekends as needed to meet major milestones * Must be ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Abbott

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Ability to work nights and/or weekends, as needed. * Uphold company mission and values through ...

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 ...

Soteria Reinsurance Ltd.

WI · On-site

$150 - $210/hr

## Principal Software Engineer/DeveloperApplylocations: Westlake, TXtime type: Full timeposted on ... and Amazon RDS; performing data modeling, OLTP/OLAP design, and writing complex SQL queries to ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

... 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 ...

Deloitte

Senior Forward Deployed Engineer- AWS

Milwaukee, WI · On-site

$103K - $141K/yr

... 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 ...

Ontech Talent

Be Seen First

Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

... Data Engineering / Development / Architecture certifications. * Familiarity with Azure API Management, Infor ION API Gateway, MuleSoft, Boomi, Apigee, Kong, Amazon API Gateway, Postman, SAP ...

Deloitte

Forward Deployed Engineer- AWS

Milwaukee, WI · On-site

... 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 ...

Rubick

Data Crawling - Consultant

Oregon, WI · On-site

$90 - $130/hr

Collaborate with Product, Engineering, and Data teams to ensure reliable and timely data collection ... Our solutions are used across five countries by major brands and marketplaces, including Amazon ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Wisconsin

Weekend Amazon Data Engineer information

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 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 cities in Wisconsin are hiring for Weekend Amazon Data Engineer jobs?

Cities in Wisconsin with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Sr. Data Engineer

DTN (Data Transmission Network)

WI • On-site

$109.40 - $145.80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Key responsibilities

  • Deliver trusted data sets and services from complex data sources to support DTN customers and internal stakeholders.

  • Design, build, and maintain batch and real-time streaming data pipelines and ingestion processes.

  • Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions.

Job description

Job Description

DTN is seeking a results‑driven Senior Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across our enterprise platforms. This role plays a critical part in advancing DTN’s modern batch and real‑time streaming data architecture while enabling customers and internal stakeholders to leverage trusted, scalable, and secure data solutions.

Responsibilities
  • Deliver trusted data sets and services from complex data sources and environments to support DTN customers and internal stakeholders.
  • Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions.
  • Design, build, and maintain batch and real‑time streaming data pipelines and ingestion processes that ensure data quality, reliability, and scalability.
  • Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon Kinesis.
  • Support customer and partner data infrastructure needs by troubleshooting technical issues and optimizing data environments.
  • Contribute to the continuous improvement of data management standards, practices, and architectural patterns.
  • Document data engineering processes, standards, and best practices to promote adoption across teams.
  • Ensure data governance, security, and compliance requirements are incorporated into solution delivery.
  • Identify opportunities to automate processes, reduce complexity, and improve operational efficiency through innovative data solutions.
  • Develop reference architectures, standards, and documentation to support consistent approaches to data acquisition, transformation, storage, and analytics consumption.
Qualifications
  • 7+ years of data engineering experience with batch and streaming pipelines, data ingestion, ETL/ELT processes, or 2+ years of software engineering experience.
  • Proven experience designing and implementing streaming data architectures, message brokering, and real‑time event processing using Apache Kafka and AWS Kinesis.
  • 4+ years of cloud experience, preferably across multiple cloud platforms.
  • Strong programming skills in Python or other modern development languages such as Java or Go.
  • Experience with ETL processes, SQL development, and data transformation workflows.
  • Experience working with relational databases such as Oracle, PostgreSQL, or MySQL.
  • Experience with AWS cloud services and cloud‑based data platforms such as Snowflake or AWS‑native solutions.
  • Ability to design solutions that support data transformation, governance, workload management, and complex data structures.
  • Experience with cloud architectures, highly available systems, and scalable solutions.
  • Familiarity with Agile development methodologies and CI/CD practices.
  • Experience with Docker and Kubernetes environments.
  • Bachelor’s degree in Computer Science or equivalent experience.
Additional Qualifications
  • Experience with stream processing frameworks such as Apache Flink or Spark Streaming.
  • Experience with front‑end technologies such as React, Angular, or Vue.
  • Experience developing RESTful APIs using Node.js or Python.
  • Experience consuming REST and GraphQL APIs.
  • Strong understanding of source control and versioning practices using Git.
  • Experience supporting enterprise data and analytics platforms in cloud‑native environments.
Benefits and Compensation
  • Competitive Salary (Targeted hiring base pay range: $109,400 – $145,800).
  • Unlimited PTO.
  • Flexible working hours.
  • Remote work model (position dependent).
  • Competitive Medical, Dental and Vision Insurance Plans.
  • 6% 401K matching.
  • Unlimited access to 13,000+ courses via learning platform to support employee career advancement.
  • Employee Assistance Program (EAP).
  • Opportunity for market‑competitive variable pay and benefits.
Equal Opportunity Employer

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.

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