Sr. Data Engineer & Product Specialist
Daimler Truck North America21 days ago
Responsibilities
- Lead development and continuous improvement of the Deliver to Promise executive steering platform, including backlog management, delivery planning, and technical roadmap development.
- Provide day-to-day technical direction and mentor a junior developer.
- Onboard sources, document datasets, define quality checks, and prepare data products for publication through a global data marketplace.
- Capture data definitions, relationships, and business rules from subject-matter experts and documentation.
- Engage stakeholders to understand use cases for AI products and curated dashboards and build and publish data products.
- Support data product intake, troubleshoot onboarding issues, and improve user guidance.
- Design, build, and maintain ETL pipelines and data workflows integrating multiple enterprise data sources.
- Collaborate with data owners on data quality, acceptance, governance, and evolving data definitions.
- Contribute to the shared ontology and context layer and the TT/S AI Operating Model.
- Help build a network of TT/S data science and data enthusiasts.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field and 5+ years of relevant experience, or 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 or Databricks.
- 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.
- Preferred experience prototyping LLM-enabled workflows and identifying AI use cases.
- Preferred proficiency with Tableau, Power BI, or Atlassian Analytics.
- Preferred understanding of responsible AI considerations, including privacy, security, bias risk, and human-in-the-loop controls.
- Preferred familiarity with AI/ML concepts and workflows, TT/S tools and processes, data taxonomy, and development processes.
- An attached resume is required.
Benefits
- The position is onsite in Portland, Oregon, and applicants must be able to work in or relocate to that location.
- Relocation assistance is not available.
- Final candidates must successfully complete a criminal background check and may be required to complete a pre-employment drug screen.
- The employer provides equal employment opportunities and accommodation or special assistance for applicants.
About Daimler Truck North America
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