Sr. data engineer & product specialist

Inside the Role

Join the Process, Methods, Tools & Operations (PMT&O) department of TT/S to lead the data foundation that powers executive decision-making across Daimler Truck Technology's global SW & EE organization. Established in 2021, TT/S is a global software and electronics group that is responsible for all global SW & EE development to deliver world-class software and features. TT/S comprises over 1,400 people across the US, Germany, and India.

We are seeking a Senior Data Engineer and Product Specialist to build and publish data products for TT/S. This role will own the TT/S executive leadership steering dashboard (Deliver to Promise Board) and work with stakeholders and domain experts to build and publish high-quality data products. It will also contribute to the TT/S AI Operating Model by working directly with domain experts, data owners, and technical teams to capture business meaning, improve data quality, and develop the shared ontology and context layer. The role supports a repeatable process covering data onboarding, understanding and cleaning, context description, publishing, and continuous monitoring, with governance embedded throughout.

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

What You Drive at DTNA

• Lead development and continuous improvement of the DtP executive steering platform, including backlog management, delivery planning and technical roadmap.
• Provide day-to-day technical direction and mentor a junior developer, effectively increasing overall team output and delivery capacity.
• Support source onboarding, document datasets, define quality checks, and prepare data products for publication through a global data marketplace.
• Capture definitions, relationships, and business rules from subject-matter experts, Confluence, and other documentation so that data products carry the context needed for interpretation.
• Engage with customers and stakeholders to build and publish data products and understand use cases for AI products vs. curated dashboards.
• Help users with data product intake, troubleshoot onboarding issues, and improve guidance so they can create quality data products.
• Help build a strong network of TT/S data science and data enthusiasts.
• Collaborate with data owners on quality and acceptance to improve data products and data definitions over time.
• Design, build, and maintain robust ETL pipelines and data workflows for integrating multiple enterprise data sources.
• Apply consistent follow-through (polite tenacity) to resolve data gaps, drive decisions, and maintain forward progress across dependencies.

Knowledge Required

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, or related field and 5+ years of relevant experience, or 8 years of experience in data engineering, analytics engineering, or related roles, in lieu of degree, is required.
• Strong programming skills (Python, Java, or Scala)
• Advanced SQL and data modeling experience
• ETL/ELT tool experience (e.g., Airflow, dbt, Alteryx)
• Data platforms (Snowflake, Databricks, or similar)
• Experience building or enforcing a semantic/metrics layer for consistent KPI definitions
• Data catalog and lineage tooling (e.g., Microsoft Purview, Alation, or Collibra)
• Knowledge of data governance, data quality and master data management
• Experience working with enterprise-scale data systems and cross-functional stakeholders
• Experience mentoring junior engineers or contributing to small team leadership
• Strong problem-solving and analytical abilities
• Data governance, data quality, and master data management concepts
• An attaches resume is required

Exceptional Candidates Might Have

• Experience prototyping LLM-enabled workflows and finding opportunities for AI use cases
• Proficiency with BI and visualization tools (Tableau, Power BI, Atlassian Analytics)
• Understanding of responsible AI considerations (privacy, security, bias risk, and human-in-the-loop controls) as they relate to enterprise data products
• Familiarity with AI/ML concepts and workflows
• Ability to solve internal, technical problems
• Familiarity with TT/S tools, methods, and processes
• Knowledge of TT/S data taxonomy and development processes
• Ability to build relationships across hierarchical levels
• Strong background in Agile method and scrum

Where We Work

This position is open to applicants who can work in (or relocate to) the following location(s)- Portland, OR US. Relocation assistance is not available for this position.

Schedule Type:

Onsite

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 sustainability and future driving technology across electric, hydrogen and autonomous. These solutions, backed by years of innovative success and achievement, continue DTNA’s legacy as the undisputed industry leader. Our evolving brand portfolio is second to none, including Freightliner Trucks, Western Star, Demand Detroit, Thomas Built Buses, Freightliner Custom Chassis, and Financial Services. Together, we work as one team towards our envisioned future – building a cleaner, safer and more efficient tomorrow for all.

That is what we are working toward - for all who keep the world moving.

Additional Information

This position is not open for Visa sponsorship or to existing Visa holders. Applicants must be legally authorized to work permanently in the country the position is located in at the time of application. Final candidate must successfully complete a criminal background check. Final candidate may be required to successfully complete a pre-employment drug screen. Contractors, professional services, or other contingent workers should confirm with their local agency if they are eligible to apply for FTE positions. EEO - Disabled/Veterans. Daimler Truck North America is committed to workforce inclusion and providing an environment where equal employment opportunities are available to all applicants and employees without regard to race, color, sex (including pregnancy), religion, national origin, age, marital status, family relationship, disability, sexual orientation, gender identity and expression (including transgender and transitioning status), genetic information, or veteran status.

For an accommodation or special assistance with applying for a posted position, please contact our Human Resources department at 503-745-8982 or toll free 800-206-3369. For TTY/TDD enabled call 503-745-2137 or toll free 866-355-6935.