Senior Data Engineer at EDO building data pipelines for advertising effectiveness measurement. Collaborating with Data Scientists using AWS, Airflow, DBT, and Snowflake on large data sets.
About the role
- Senior Data Engineer leading the design and implementation of data pipelines for NVIDIA’s analytics and monitoring systems. Collaborating across teams to enhance data ingestion and analysis capabilities.
Responsibilities
- Act as the technical owner and primary point of contact for ML/AI data pipelines, large‑scale data ingestion, and enterprise data warehousing
- Lead the design and onboarding of new, high‑volume data sources to continuously expand and mature the centralized Data Lake
- Partner with multiple NVIDIA product and infrastructure teams to translate complex business and technical requirements into scalable data solutions
- Work closely with system architects, platform engineers, and data scientists to co‑design end‑to‑end analytics and ML‑ready architectures
- Design, build, and optimize high‑performance ETL pipelines with strong guarantees around data integrity, reliability, and observability
- Contribute to and influence the architecture of next‑generation monitoring, telemetry, and analytics platforms for hyperscale Data Centers
- Provide technical leadership and mentorship, guiding teams toward best practices in data engineering and data‑driven decision‑making
Requirements
- BSc. or MSc. in Computer Science, Computer Engineering, or a related field
- 5+ years of hands‑on experience in Data Engineering, large‑scale telemetry systems, and big‑data platforms
- Deep understanding of telemetry architectures, automation technologies, and modern application platforms and paradigms
- Strong familiarity with networking fundamentals; experience in data‑center environments is a strong advantage
- Proven experience with modern analytics and big‑data platforms such as Spark, Databricks, and similar ecosystems
- Solid understanding of different telemetry pipeline models and trade‑offs (streaming vs. batch, push vs. pull, real‑time vs. near‑real‑time)
- Advanced programming skills and a track record of building production‑grade data pipelines, tooling, and proof‑of‑concepts
Benefits
- Competitive salaries
- Comprehensive benefits package
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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