Nvidia Senior Data Engineer Cloud Operations Engineering 

United States, Texas 

286551824

What You'll Be Doing:

• Architect and implement efficient data pipelines to ingest, transform, and store operational telemetry.

• Develop robust data models, schemas, and warehouses to ensure consistent reporting and traceability.

• Build APIs and query layers (e.g., GraphQL, REST) for seamless data access and integration across systems.

• Partner with engineering and operations teams to centralize telemetry, improve reporting accuracy, and enhance visibility.

• Monitor data freshness, identify bottlenecks, and propose automation to reduce manual toil.

• Provide expertise in reporting tools (e.g., Power BI, Tableau, Superset) to design actionable dashboards.

• Mentor teams on data best practices, driving insights and operational efficiency through intelligent data systems.

What We Need To See:

• 5+ years of industry experience.

• Bachelor’s or Master’s degree or equivalent experience.

• Proven expertise in building and optimizing data pipelines using tools like Apache Spark, Airflow, or Kafka.

• Proficiency in programming languages such as Python, Java, or Scala.

• Strong experience with relational and NoSQL databases (e.g., Snowflake, BigQuery, PostgreSQL).

• Familiarity with cloud storage and infrastructure (AWS S3, GCP BigQuery, Azure Data Lake).

• Deep knowledge of data modeling, schema design, and data warehousing for high-scale systems.

• Expertise in using reporting systems like Power BI, Tableau, or Superset, and guiding teams to derive actionable insights.

• Excellent debugging and problem-solving skills in complex, distributed environments.

Ways to Stand Out from the Crowd:

• Experience building real-time telemetry pipelines and integrating data into operational workflows.

• A proven track record of driving standardization and governance in data systems.

• Familiarity with workflow orchestration tools and their integration into broader business processes.