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Amazon Web Developer Jobs in Michigan (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Detroit, MI

$103.50K - $142.10K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Diverse Lynx

Java Developer (Spring Boot & AWS)

Detroit, MI · On-site

$46.75 - $60.50/hr

Java Developer (Spring Boot & AWS) LOCATION: Raleigh, NC / Atlanta, GA / Charlotte, NC (Onsite ... Experience working with AWS (Amazon Web Services) . * Solid understanding of microservices ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$103.30K - $141.80K/yr

... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ... Preferred : • Master's degree in Computer Science, Engineering, or a related field • Experience ...

Deloitte

Databricks Engineer

Detroit, MI · On-site +1

Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for ... Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services ...

Deloitte

Unqork Developer

Detroit, MI · On-site

... Amazon Web Services, Microsoft Azure, or Google Cloud Platform • Unqork Developer certification or Unqork Architect certification Company : Deloitte is a business consulting company that offers ...

Amazon

Solutions Architect III - AMZ9719578

Detroit, MI · On-site

$153.60K - $207.80K/yr

AMAZON WEB SERVICES, INC. Offered Position: Solutions Architect III Job Location: Detroit, Michigan ... Act as a technical liaison between customers, service engineering teams and support. Analyze ...

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How much do amazon web developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for amazon web developer in Michigan is $39.33, according to ZipRecruiter salary data. Most workers in this role earn between $30.19 and $47.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Web Developer, and why are they important?

To thrive as an Amazon Web Developer, you need expertise in web development languages (such as JavaScript, HTML, CSS), a strong understanding of cloud computing, and a computer science degree or equivalent experience. Familiarity with Amazon Web Services (AWS), version control systems like Git, and frameworks such as React or Angular is typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively make candidates stand out. These skills and qualities are crucial for building scalable, secure, and user-friendly web applications in a dynamic, cloud-based environment.

How does an Amazon Web Developer typically collaborate with cross-functional teams during a project lifecycle?

As an Amazon Web Developer, you will regularly work with cross-functional teams, including product managers, UX/UI designers, and backend engineers, to deliver robust and scalable web applications. Collaboration usually involves participating in agile sprints, attending daily stand-ups, and contributing to code reviews to ensure all features meet technical and business requirements. Effective communication and a collaborative mindset are essential, as you'll often need to clarify requirements, share progress, and troubleshoot issues alongside your teammates. This collaborative environment not only enhances the final product but also provides valuable learning and growth opportunities within Amazon's dynamic tech culture.

What does an Amazon Web Developer do?

An Amazon Web Developer designs, builds, and maintains web applications and services that power Amazon's online platforms. They work with various programming languages, frameworks, and Amazon Web Services (AWS) tools to create scalable, secure, and user-friendly solutions. Their responsibilities often include collaborating with cross-functional teams, optimizing website performance, and troubleshooting technical issues to ensure a seamless user experience. Amazon Web Developers may also implement new features, improve existing ones, and stay updated with the latest web technologies.

What is the difference between Amazon Web Developer vs Amazon Cloud Engineer?

AspectAmazon Web DeveloperAmazon Cloud Engineer
Required CredentialsTypically AWS certifications, programming skillsAWS certifications, cloud architecture expertise
Work EnvironmentDeveloping and maintaining web applications on AWSDesigning and managing cloud infrastructure on AWS
Employer & Industry UsageTech companies, startups, e-commerceLarge enterprises, cloud service providers
Common Search & ComparisonYesYes

Amazon Web Developers focus on creating and maintaining web applications using AWS services, emphasizing coding and application deployment. Amazon Cloud Engineers, on the other hand, design, implement, and manage cloud infrastructure, ensuring scalable and secure cloud environments. While both roles require AWS certifications and cloud knowledge, their core responsibilities differ, with developers concentrating on application development and engineers on infrastructure management.

What are popular job titles related to Amazon Web Developer jobs in Michigan? For Amazon Web Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Amazon Web Developer jobs in Michigan look for? The top searched job categories for Amazon Web Developer jobs in Michigan are:
Amazon Web Developer jobs near you
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

Detroit, MI

$103.50K - $142.10K/yr

Other

Posted 7 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services

Job description

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Senior Consultant - Databricks Engineer on the AI & Data team, you will be responsible for:

Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.

Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business and technology leaders to modernize data platforms, enable analytics and artificial intelligence use cases, and drive measurable business outcomes. This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve performance, expand digital capabilities, and help clients scale data-driven decision-making across the enterprise.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Senior Consultant - Databricks Engineer on the AI & Data team, you will be responsible for:

Champion Best Practices: Establish, document, and promote best-in-class approaches for data architecture, integration, and modelling.

Pipeline Ownership: Oversee the design, development, and maintenance of robust data pipelines and data architectures that support large-scale, enterprise data needs.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Education:Bachelor's DegreeEmployment Type:

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