Prinicipal, Data Engineer

Tätigkeitsbereich:

IT/Telekommunikation Fachabteilung:

Data & Technology Gesellschaft:

Mercedes-Benz USA, LLCStandort:

Mercedes-Benz USA, LLC Corporate Headquarters, Atlanta, GA Startdatum:sofort

Veröffentlichungsdatum:
13.11.2026

Stellennummer:

MER
00047U4

Arbeitszeit:

Vollzeit

Aufgaben About  Us Mercedes-Benz USA is responsible for the marketing, sales, and service of Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse, top-notch individuals to join the Mercedes-Benz team and uphold these hallmarks.

Job Overview Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Mercedes-Benz USA, you will be part of a group that solves real business and customer problems using data.

We are seeking a Principal Data Engineer to serve as a senior technical leader for enterprise data engineering. This role defines complex problem spaces, sets architectural direction, and delivers scalable, enterprise-grade data platforms and products that enable reporting, analytics, machine learning, AI products, and digital business capabilities. The Principal Data Engineer operates effectively in high-ambiguity environments, owns outcomes and business impact, and establishes standards, frameworks, and reusable engineering patterns adopted across multiple teams and domains.

Responsibilities Enterprise Data Engineering Architecture & Standards
• Define and evolve enterprise data engineering architecture, design patterns, standards, and best practices across data platforms and products.
• Create reusable engineering frameworks, templates, automation standards, and playbooks that accelerate delivery and improve consistency across teams.
• Influence technology choices for data platforms, cloud-native services, distributed processing, orchestration, CI/CD, monitoring, and reliability engineering.
• Evaluate emerging data engineering and platform technologies that improve scalability, performance, security, cost efficiency, and developer productivity.

Data Platform & Product Delivery
• Design and deliver high-performance, scalable data platforms and data products supporting analytics, reporting, machine learning, AI, and enterprise decision-making use cases.
• Build and modernize end-to-end data pipelines across data lake, warehouse, lakehouse, data mart, and semantic consumption layers.
• Enable data engineers, analysts, data scientists, AI engineers, and business teams through reliable, governed, and reusable data services.
• Support platform capabilities for batch, streaming, event-driven, and API-based data integration patterns.

Operational Excellence, Reliability & Governance
• Identify systemic gaps in data quality, platform reliability, observability, performance, cost, resiliency, and operational readiness, and drive solutions end-to-end.
• Establish best practices for production operations, monitoring, logging, incident response, runbooks, platform support, and continuous improvement.
• Ensure platforms and data products comply with enterprise standards for security, governance, data quality, privacy, and responsible data use.
• Drive automation through metadata management, reusable components, and repeatable engineering practices to reduce manual effort and operational risk.

Collaboration, Influence & Technical Leadership
• Partner with architects, infrastructure, security, analytics, AI/ML, product, and business stakeholders to translate complex business needs into scalable technical solutions.
• Operate in high ambiguity by defining problem…