Manufacturing Data & AI Developer

dtna; Portland (OR); Hybrid; USD 71,000 - 91,000; Full time

Benefits offered by this job

Annual bonus program

401k with company match up to 6%

4 weeks paid vacation

13+ calendar holidays

8 weeks paid parental leave

Employee assistance program

Comprehensive healthcare plans

Onsite fitness (at some locations)

Tuition assistance

Volunteer paid time off

Short-term and long-term disability

Job summary

Daimler Truck North America, forming part of the CODA analytics and digitalization team, is seeking a Manufacturing Data & AI Developer to build modern software products, analytics solutions, and data-driven applications for manufacturing operations.

You will work with manufacturing, engineering, and IT stakeholders to transform operational challenges into scalable cloud-based solutions using analytics platforms and AI-enabled tools.

Qualifications

• Bachelor's degree in a technical field is required.
• Experience with software development in teams or coursework.
• Proficiency in Python, C#, or JavaScript and SQL fundamentals.

Responsibilities

• Develop and maintain software applications, dashboards, APIs, and automation tools that support manufacturing operations.
• Assist with AI-enabled solutions such as Generative AI applications, copilots, intelligent assistants, and analytics tools.
• Create and maintain SQL queries, reports, and data integrations across manufacturing and business systems.
• Support development of data pipelines and data processing workflows.
• Participate in application testing, deployment, and troubleshooting activities.
• Collaborate with engineers and business stakeholders to understand requirements and deliver software solutions.
• Develop reports and visualizations using Power BI and other analytics platforms.
• Support cloud-based applications and services under guidance from senior engineers.
• Follow software development best practices, version control processes, and security standards.
• Investigate and resolve issues related to applications, data integrations, and reporting solutions.
• Document solutions, processes, and technical implementations.

Skills

Python

C#

JavaScript

SQL

Analytical thinking

Git

Education

Bachelor's degree in Computer Science

Tools

Power BI

Azure

REST APIs

Git

Job description

Inside the Role

Become an integral part of the premier analytics and digitalization team within Daimler Truck Manufacturing Engineering. The Centralized Operations Digitalization and Analytics (CODA) team is responsible for making operations data accessible, actionable, and valuable across our manufacturing network.

As a Manufacturing Data & AI Developer, you will help build modern digital products, analytics solutions, and data-driven applications that improve manufacturing performance and support business decision-making. Working alongside manufacturing, engineering, and IT stakeholders, you will learn to transform operational challenges into scalable solutions using cloud technologies, analytics platforms, AI-enabled tools, and modern software development practices.

This position is ideal for individuals who are passionate about technology, data, analytics, and software development, and who want to grow their skills while helping shape the future of manufacturing.

CODA offers a collaborative, agile environment where team members have the flexibility to explore innovative solutions and leverage emerging technologies to deliver business value.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

Position offers a starting salary range of $71,000 - $91,000 USD

Pay offered dependent on knowledge, skills, and experience

• annual bonus program


• 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age


• starting at 4 weeks paid vacation


• 13+ calendar holidays


• 8 weeks paid parental leave


• employee assistance program


• comprehensive healthcare plans and wellness programs


• onsite fitness (at some locations)


• tuition assistance and volunteer paid time off


• short-term and long-term disability plans

What You Drive at DTNA

• Develop and maintain software applications, dashboards, APIs, and automation tools that support manufacturing operations.


• Assist with AI-enabled solutions such as Generative AI applications, copilots, intelligent assistants, and analytics tools.


• Create and maintain SQL queries, reports, and data integrations across manufacturing and business systems.


• Support development of data pipelines and data processing workflows.


• Participate in application testing, deployment, and troubleshooting activities.


• Collaborate with engineers and business stakeholders to understand requirements and deliver software solutions.


• Develop reports and visualizations using Power BI and other analytics platforms.


• Support cloud-based applications and services under guidance from senior engineers.


• Follow software development best practices, version control processes, and security standards.


• Investigate and resolve issues related to applications, data integrations, and reporting solutions.


• Document solutions, processes, and technical implementations.

Knowledge You Should Bring

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, or a related technical field.


• An attached resume is required.


• Experience through coursework, internships, personal projects, or professional experience with software development.


• Experience with at least one programming language such as Python, C#, JavaScript, or similar.


• Basic understanding of relational databases and SQL.


• Basic understanding of software development concepts, testing, and debugging.


• Strong analytical and problem-solving skills.


• Strong communication and teamwork skills.

Exceptional Candidates Might Have

• Internship, co-op, academic project, or professional experience related to software development, AI, data, or analytics.


• Experience developing web applications using React, Angular, or similar frameworks.


• Experience with Power BI, Tableau, or data visualization tools.


• Familiarity with cloud platforms such as Microsoft Azure.


• Familiarity with REST APIs and application integration concepts.


• Familiarity with AI, Generative AI, Azure OpenAI, machine learning, or data science concepts.


• Familiarity with Git and source control practices.


• Understanding of manufacturing, industrial systems, or operational technology environments.

Where We Work

• Portland, OR US

Schedule Type

Hybrid (4 days per week in-office / 1 day remote). This schedule builds our #OneTeamBestTeam culture, provides an unparalleled customer experience, and creates innovative solutions through in-person collaboration.

At Daimler Truck North America, we recognize our world is changing faster than ever before. By listening to the needs of today, we're building to solve with cutting-edge solutions in