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Amazon Model Jobs in Minnesota (NOW HIRING)

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ... Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ...

We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ... Fluency in writing and reading SQL, as well as understanding semantic models. * Familiarity with ...

AWS Cloud Engineer

Minneapolis, MN · On-site

$110K - $120K/yr

Implement and manage Amazon S3 replication (CRR/SRR), lifecycle policies, encryption, and access controls. Design and develop machine learning models using AWS SageMaker, integrated with Jupyter ...

AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

Implement and manage Amazon S3 replication (CRR/SRR), lifecycle policies, encryption, and access controls. Design and develop machine learning models using AWS SageMaker, integrated with Jupyter ...

... client needs - Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data ... in dimensional modeling and data pipeline management - Leading teams in data warehouse ...

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Amazon Model information

See Minnesota salary details

$49K

$102K

$139.6K

How much do amazon model jobs pay per year?

As of Jul 1, 2026, the average yearly pay for amazon model in Minnesota is $102,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $122,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Model position, and why are they important?

To thrive as an Amazon Model, you need strong posing abilities, physical fitness, and an understanding of e-commerce fashion or product modeling, often supported by a professional portfolio. Experience with photography equipment, lighting setups, and digital style boards is beneficial, while some roles may require familiarity with promotional or live-streaming tools. Confidence, adaptability, punctuality, and effective communication are key soft skills for working with creative teams and diverse products. These skills are vital for delivering high-quality images or videos that meet brand standards and help drive online sales.

What is an Amazon Model job?

An Amazon Model job typically involves modeling clothing, accessories, or other products for Amazon's e-commerce platform. Models may participate in photoshoots or video productions to showcase items for product listings, advertisements, or marketing campaigns. These roles can be freelance, contract, or agency-based, depending on the specific project. Amazon collaborates with modeling agencies and independent models to ensure diverse representation.

What does a typical day look like for an Amazon Model and what kinds of products might I be modeling?

As an Amazon Model, your day often consists of attending scheduled photoshoots in a studio or on location, where you'll model a variety of products ranging from clothing and accessories to electronics or home goods. You may be expected to work closely with photographers, stylists, and brand representatives to showcase items in a way that appeals to online shoppers. Flexibility is important, as each project may have different posing styles or time frames, and quick wardrobe or product changes are common. Consistent professionalism, punctuality, and readiness to take direction contribute to successful shoots and may lead to more frequent bookings and long-term collaborations with brands.

What are popular job titles related to Amazon Model jobs in Minnesota? For Amazon Model jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Amazon Model job openings in Minnesota as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $102,022 per year, or $49 per hour.
Databricks Manager

Databricks Manager

Deloitte

Minneapolis, MN • On-site, Remote

Other

Posted 9 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Databricks Manager on the AI & Data team, you will be responsible for...

  • Lead solution reviews and design update discussions to drive architecture decisions and secure design approvals
  • Translate approved designs into technical delivery plans and support the delivery team in building Databricks environments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including integrations
  • Provide hands-on support for Databricks development, platform configuration, and infrastructure setup
  • Coordinate technical execution across the global delivery team to support quality delivery and issue resolution
  • Support data science and model teams with platform needs, environment enablement, and deployment readiness

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or equivalent experience.
  • 8+ years of experience with Databricks platform implementation, configuration, or development
  • Experience leading solution reviews, design updates, and architecture approval activities for cloud data platforms
  • Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations
  • Experience with Databricks MLOps or infrastructure setup
  • Experience coordinating delivery teams from a technical lead perspective and communicating designs, status, issues, and decisions to clients and project stakeholders
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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