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Amazon Computer Science Jobs in Minnesota (NOW HIRING)

Experience engineering software within an Amazon Web Services (AWS) cloud infrastructure or other ... Bachelors Degree in Computer Science, Information Systems or related technical field. Experience ...

... Amazon Web Services, and Google Cloud Platform, including integrations * Provide hands-on support ... Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ...

Sr Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Bachelor's degree or higher in computer science, information technology, software engineering ... OCI), Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * 2+ years of ...

Senior Forward Deployed Engineer- AWS

Minneapolis, MN · On-site

$109K - $149K/yr

Required qualifications Bachelor's degree (or equivalent) in Computer Science, Data Science or ... Amazon Bedrock, Bedrock Agents, Knowledge Bases, Guardrails 1+ years of experience leading project ...

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Amazon Computer Science information

See Minnesota salary details

$19.9K

$62.4K

$132.1K

How much do amazon computer science jobs pay per year?

As of Jun 22, 2026, the average yearly pay for amazon computer science in Minnesota is $62,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,921.00 and $81,130.00 per year, depending on experience, location, and employer.

What are typical projects or tasks for a Computer Science professional working at Amazon?

Computer Science professionals at Amazon often work on designing and optimizing large-scale software systems, developing new features for customer-facing applications, or improving backend infrastructure. Daily tasks might include writing high-quality code, reviewing peers’ code, participating in design discussions, and collaborating with cross-functional teams such as product managers, UX designers, and data scientists. You may also be expected to contribute to ongoing process improvements and explore innovative solutions for performance and scalability. The work is fast-paced and encourages creative problem-solving, giving professionals the chance to impact millions of customers globally.

Does Amazon hire computer science majors?

Yes, Amazon hires computer science majors for a variety of roles including software development, data engineering, and technical program management. Candidates typically need strong programming skills in languages like Java, Python, or C++, along with relevant coursework or experience in algorithms and systems design.

Is IT difficult to get hired at Amazon?

Getting hired for an Amazon computer science role can be competitive, often requiring strong technical skills, relevant experience, and a good understanding of Amazon's leadership principles. Candidates typically go through multiple interview rounds, including coding assessments and behavioral interviews, to demonstrate their qualifications.

What is an Amazon Computer Science job?

An Amazon Computer Science job typically involves designing, developing, and optimizing software and systems that support the company's vast technology infrastructure. These roles can include software development, machine learning, data science, and cloud computing, among others. Employees work on scalable and innovative solutions for e-commerce, AWS, artificial intelligence, and logistics. Strong programming skills, problem-solving abilities, and knowledge of algorithms and data structures are essential.

Is it possible to make 300k as a software engineer?

Achieving a salary of $300,000 as a software engineer is possible, especially at senior levels, in high-cost-of-living areas, or within large tech companies like Amazon. Factors such as experience, specialized skills, stock options, and performance bonuses significantly influence earning potential.

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

To thrive in an Amazon Computer Science role, you need a strong background in computer science principles, programming (such as Java, C++, or Python), and a relevant degree in computer science or a related field. Familiarity with Amazon Web Services (AWS), distributed systems, and possibly certifications like AWS Certified Solutions Architect are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate in Amazon's fast-paced, team-oriented environment. These competencies are vital for creating innovative solutions, scaling complex systems, and meeting the high-performance standards at Amazon.

How much does Amazon pay computer science?

Salaries for computer science roles at Amazon vary based on experience, location, and position, but entry-level software engineers typically earn between $100,000 and $130,000 annually. More experienced roles or specialized positions can pay significantly higher, often exceeding $150,000 per year, with additional benefits such as stock options and bonuses.
What are the most commonly searched types of Amazon Computer Science jobs in Minnesota? The most popular types of Amazon Computer Science jobs in Minnesota are:
What are popular job titles related to Amazon Computer Science jobs in Minnesota? For Amazon Computer Science jobs in Minnesota, the most frequently searched job titles are:
Senior Consultant-AI and Data Risk Management

Senior Consultant-AI and Data Risk Management

Deloitte

Minneapolis, MN

Other

Posted 26 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The 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 provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

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. 

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 $116,200 to $229,100


Qualifications:

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The 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 provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

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. 

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 $116,200 to $229,100


Education:Bachelor's DegreeEmployment Type:

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