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Strong brand, metro location, generalist Data Engineer title, mid-level experience range, and broad skillset attract many applicants.
Core data engineering skills are transferable but automotive/campaign platform context raises moderate domain sensitivity.
Explicit 3-9 years requirement plus mandatory data engineering, cloud and SQL experience increases filtering to medium strictness.
Design, build, and maintain data pipelines and data models to support automated campaign management and monitoring within the DLCM Control Center platform.
Enable data load forecasting, rollout tracking, and campaign analytics by processing complex operational data into actionable insights.
Collaborate cross-functionally to ensure data quality, expose analytics-ready datasets/APIs, and support near-real-time monitoring and reporting.
3-9 years of experience as a Data Engineer or in related data engineering roles.
Proficiency in SQL and experience with structured and semi-structured data processing.
Experience with cloud-based data platforms and managed data services.
Knowledge of batch and streaming data processing concepts and data validation and performance optimization.
Strong expertise in building scalable, reliable data pipelines in distributed systems supporting automation and monitoring.
Deep understanding of complex, domain-driven data flows and ability to translate business needs into data solutions.
Experience working with cross-functional teams in a structured environment, delivering data products for large-scale campaign or operational platforms.