Sr. Data Engineer & Product Specialist
About The Position
Join the Process, Methods, Tools & Operations (PMT&O) department of TT/S and lead the data foundation that supports executive decision-making across Daimler Truck Technology’s global software and electronics organization. TT/S is a global group responsible for software and electronics development, with more than 1,400 people across the US, Germany, and India. The Senior Data Engineer and Product Specialist will build and publish data products for TT/S, own the executive leadership steering dashboard (Deliver to Promise Board), and partner with stakeholders and domain experts to develop high-quality data products. The role also contributes to the TT/S AI Operating Model by working with domain experts, data owners, and technical teams to capture business meaning, improve data quality, and develop a shared ontology and context layer. Work follows a repeatable process for data onboarding, understanding and cleaning, context description, publication, and ongoing monitoring, with governance embedded throughout. This position is onsite in Portland, Oregon. Relocation assistance and visa sponsorship are not available. Applicants must be legally authorized to work permanently in the country where the position is located. Final candidates must complete a criminal background check and may be required to complete a pre-employment drug screen.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field and 5 or more years of relevant experience; alternatively, 8 years of experience in data engineering, analytics engineering, or related roles in lieu of a degree.
- Strong programming skills in Python, Java, or Scala.
- Advanced SQL and data modeling experience.
- Experience with ETL/ELT tools such as Airflow, dbt, or Alteryx.
- Experience with data platforms such as Snowflake, Databricks, or similar.
- Experience building or enforcing a semantic or metrics layer for consistent KPI definitions.
- Experience with data catalog and lineage tools such as Microsoft Purview, Alation, or Collibra.
- Knowledge of data governance, data quality, and master data management.
- Experience 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.
- An attached resume is required.
Nice To Haves
- Experience prototyping LLM-enabled workflows and identifying opportunities for AI use cases.
- Proficiency with BI and visualization tools such as Tableau, Power BI, or Atlassian Analytics.
- Understanding of responsible AI considerations—including 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 methods and Scrum.
Responsibilities
- Lead development and continuous improvement of the Deliver to Promise executive steering platform, including backlog management, delivery planning, and its technical roadmap.
- Provide day-to-day technical direction and mentor a junior developer to increase 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 data products have context for interpretation.
- Engage with customers and stakeholders to build and publish data products and understand use cases for AI products versus curated dashboards.
- Help users with data product intake, troubleshoot onboarding issues, and improve guidance for creating quality data products.
- Build a network of TT/S data science and data enthusiasts.
- Collaborate with data owners on quality and acceptance to improve data products and definitions over time.
- Design, build, and maintain robust ETL pipelines and data workflows that integrate multiple enterprise data sources.
- Follow through to resolve data gaps, drive decisions, and maintain progress across dependencies.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
