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Decision Engineer Jobs in Arizona (NOW HIRING)

Observability Operations Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

* We are seeking a highly skilled Senior Observability Operations Engineer to manage and enhance our enterprise observability platform. * The ideal candidate will have deep expertise in Dynatrace ...

New

... Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and ... Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI ...

New

You should also have excellent organizational, time management, leadership, and decision-making skills. Project Engineer Responsibilities: * Preparing, scheduling, coordinating, and monitoring ...

... decision making and device deployment with some familiarity of field application rules. Work is performed with general guidance over specific engineering design, modifications, and technical ...

Directs Engineers-in-training and technical staff with the execution of their responsibilities ... Effective decision making, budget control, client maintenance and team building skills * Must be ...

Manufacturing Engineer

Gilbert, AZ · On-site

$47.30 - $55/hr

The solution of these problems may require the Manufacturing Engineer's decision alone, or could result in contacting and working with other members of the Manufacturing Engineering Department ...

The Sales Engineer will partner with a Named Account Manager to guide enterprise clients through ... decision-makers (CISOs, CIOs, CTOs, and business leaders). • Serve as the primary technical ...

... Decision/Branch, and Modified Condition/Decision coverage. Required Qualifications: · Bachelor's degree from an accredited institution in a technical discipline such as Software Engineering ...

Manufacturing Engineer

Gilbert, AZ · On-site

$43 - $50/hr

The solution of these problems may require the Manufacturing Engineer's decision alone, or could result in contacting and working with other members of the Manufacturing Engineering Department ...

Manufacturing Engineer

Gilbert, AZ · On-site

$43 - $50/hr

The solution of these problems may require the Manufacturing Engineer's decision alone, or could result in contacting and working with other members of the Manufacturing Engineering Department ...

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Showing results 1-20

Decision Engineer information

What are the key skills and qualifications needed to thrive as a Decision Engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a Decision Engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are Decision Engineers?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities in Arizona are hiring for Decision Engineer jobs? Cities in Arizona with the most Decision Engineer job openings:

Software Engineer III - Risk Decision Technology

American Express

Phoenix, AZ • On-site

$57 - $76.75/hr

Full-time

Posted 10 days ago


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 149 rated financial services


Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.


 

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries
  • Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counselling support through our Healthy Minds program
  • Career development and training opportunities

    For a full list of Team Amex benefits, visit out Colleague Benefits Site.

    American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

    We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

    US Job Seekers - Click to view the "Know Your Rights" poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster

    The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

    • Bachelor's degree in computer science, Information Systems, or other related field (or has equivalent work experience).

    • 6+ years of experience in software development and quality assurance.

    • 6+ years of experience in building large scale distributed applications with object-oriented design using java related stack.

    • Expertise in programming knowledge in Java - Solid understanding of data structures and common algorithms

    • Experience applying AI/LLM capabilities to improve software development workflows such as coding, testing, documentation, or maintenance (Copilot, Cursor, Devin etc)

    • Experience with automated release management using Maven, Salt, Git, Jenkins.

    • Proficient in identifying and applying software design patterns.

    • Technology landscape: 

      • Java 21+, Spring Boot, Vert.X, Apache Camel, Kafka

      • Big Data: Hadoop, Hive, GCP, BigQuery, Dataflow, DataProc

      • Language Tools: Antlr, GNU Bison, Yacc

      • Couchbase, Oracle, PostgreSQL, S3

      • Distributed cloud engineering

      • React, AngularJS 

    • Experience with web services and API development on enterprise platforms.

    • Looks proactively beyond the obvious for continuous improvement opportunities.

    • Willingness to learn new technologies and exploit them to their optimal potential.

    • Good knowledge of REST API development and database technologies will be a plus.

    • Experience with Docker/Openshift based deployment is a plus.

    • Experience leveraging LLMs or agentic AI systems to automate or accelerate software engineering tasks such as code generation, refactoring, test creation, or documentation

    • Familiarity with prompt engineering, AI-assisted coding workflows, or LLM orchestration frameworks.

    • Exposure to AI-assisted development tools and workflows within modern engineering environments.

    • Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

    This role of an Engineer will be an integral part of a team that designs and builds large-scale, cloud-native applications and drive us closer to the vision of a robust Risk Decision platform. As a Software Engineer, you will:

    • Function as a member of an agile team and helps drive consistent development and test practices with respect to tools, common components, and documentation.

    • Own all technical aspects of software development for assigned applications.

    • Have primary focus (80%+) on writing quality code, perform unit testing, test automation, quality assurance & automation testing in ongoing sprints. 

    • Passionate about applying agentic AI and advanced LLM models to automate large parts of the software development lifecycle and redefine engineering productivity

    • Build new micro-services that help manages our rapidly growing footprint.

    • Improve efficiency, reliability, and scalability of our data pipelines.

    • Work on cross-functional initiatives and collaborate with Engineers across organizations.

    • Build CICD pipelines for continuous integration and delivery.

    • Build automation for application changes and deployment for faster time to market Develops deep understanding of tie- ins with other systems and platforms within the supported domains.

    • Perform ongoing refactoring of code, quality assurance and testing, applying best practice methodologies and processes.

    • Identify opportunities to adopt innovative technologies & ideas in development / test area.

    • Provide continuous support for ongoing application availability.

    • Collaborate/influence within and across teams to create successes with an innovative mindset and challenge the status quo.


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