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Senior Amazon Data Engineer Jobs in Wisconsin (NOW HIRING)

DTN (Data Transmission Network)

WI · On-site

$109.40 - $145.80/hr

DTN is seeking a results‑driven Senior Data Engineer to support the ingestion, quality, integrity ... Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon ...

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

ULINE

Senior Data Engineer

Kenosha, WI

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Build and modernize the data solutions that power Uline's growing business. As a Senior Data ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable faster, more reliable decision-making across engineering, test lab, and product development operations.

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable faster, more reliable decision-making across engineering, test lab, and product development operations.

Continuus Technologies LLC

Senior Data Engineer

Germantown, WI · On-site

$107K - $146K/yr

Role OverviewThe Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key part ...

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

The Opportunity Roehl Transport is seeking a Senior Data Engineer to help design and deliver modern data solutions that support decision-making across the enterprise. As part of a small, highly ...

Zendesk

Senior Staff Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Senior Staff Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Staff Data Engineer to lead the design, development, and scaling of our enterprise data platform.

New

Zendesk

Senior Staff Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Senior Staff Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Staff Data Engineer to lead the design, development, and scaling of our enterprise data platform.

New

Pwc

Data Engineer - Senior Manager

Milwaukee, WI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data ...

Kiongroup

Senior AI Data Engineer

Wauwatosa, WI

$121K - $151K/yr

We are seeking a highly experienced Senior AI Data Engineer to help transform our Enterprise Data Platform into an AI-native, intelligent platform where AI agents can discover, understand, and ...

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Senior Amazon Data Engineer information

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

What are the key skills and qualifications needed to thrive as a senior Amazon data engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

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 Senior Amazon Data Engineer jobs in Wisconsin?

For Senior Amazon Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Senior Amazon Data Engineer jobs in Wisconsin look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Senior Amazon Data Engineer jobs?

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

Senior 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 4 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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