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Seasonal Amazon Data Engineer Jobs in Wisconsin (NOW HIRING)

DTN (Data Transmission Network)

WI · On-site

$125 - $150/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.

Neumo

WI · On-site

$125 - $150/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

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 - $200/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 ...

Socket.dev

WI · On-site

$150 - $200/hr

Are you excited about building data platforms that power the next generation of robotics at Amazon? The Cosmos team is looking for a Software Development Engineer I to help build and scale our real ...

Posted today

Nearheal Pty

WI · On-site

$100 - $125/hr

Automation Solutions Engineer, Central RME, Global Jam Program Amazon As a Automation Solutions ... Analyze and order high volume of data through statistical analysis tools * Create datasets and ...

Rubick

Data Crawling - Consultant

Oregon, WI · On-site

$100 - $125/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 ...

Socket.dev

WI · On-site

$125 - $150/hr

Amazon Robotics (AR) is located in the greater Boston area, the epicenter of robotics innovation ... predictive data, and much more. The Robotics Manufacturing and Technical Operations (RMTO ...

Posted today

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

Seasonal Amazon Data Engineer information

What does a seasonal Amazon data engineer do?

A Seasonal Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure during peak business periods, typically to support increased demand such as during holidays. They help ensure that Amazon's data systems can efficiently handle large volumes of data, perform data extraction, transformation, and loading (ETL), and support analytics for business decision-making. Seasonal roles are temporary and focus on specific projects or timeframes, making adaptability and rapid onboarding important skills for this position.

What are the key skills and qualifications needed to thrive as a seasonal Amazon data engineer?

To thrive as a Seasonal Amazon Data Engineer, you need strong programming skills (typically in Python, Java, or Scala), expertise in data modeling, and a bachelor's degree in computer science or a related field. Familiarity with AWS data services (like Redshift, S3, and Glue), ETL tools, and proficiency in SQL are typically required. Analytical thinking, problem-solving, and effective teamwork are essential soft skills that enhance performance in this role. These skills and qualities are crucial for efficiently designing, building, and maintaining scalable data solutions to support Amazon’s business needs during peak periods.

What are some common challenges faced by seasonal Amazon data engineers, and how can they be managed effectively?

Seasonal Amazon Data Engineers often face challenges such as quickly adapting to fast-paced project timelines and integrating into established teams during peak periods. It can be demanding to familiarize oneself with Amazon's large-scale data systems and proprietary tools in a short time. Proactive communication, asking questions early, and leveraging onboarding resources can help you acclimate quickly. Collaboration with permanent team members and taking initiative in learning new technologies will further aid in navigating these challenges and contributing effectively.

What is the difference between Seasonal Amazon Data Engineer vs Amazon Data Analyst?

AspectSeasonal Amazon Data EngineerAmazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Analytics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, large-scale data systemsData interpretation, reporting, business insights
Employer & Industry UsageAmazon, e-commerce, logistics, cloud servicesAmazon, retail, marketing, customer insights

Seasonal Amazon Data Engineers focus on building and maintaining data pipelines during peak seasons, requiring technical skills in data engineering. In contrast, Amazon Data Analysts interpret data to generate insights, often working on reports and dashboards. Both roles are essential during high-demand periods but differ in technical depth and focus.

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 Seasonal Amazon Data Engineer jobs?

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

Seasonal Amazon Data Engineer jobs near you

Sr. Data Engineer

DTN (Data Transmission Network)

WI • On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 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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