"mastercard" Jobs

158 open tech roles matching “mastercard”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Scala, Java, Python. Every listing is re-checked daily and closed roles are removed.

Showing 18 of 158 results

Databricks
Databricks San Francisco, California $192k–$260k/yr Published 5 years ago
Databricks

Lead the strategy and execution for observability and governance in a multi-tenant data and AI platform at Databricks.

Databricks Bellevue, Washington; Seattle, Washington $217.1k–$298.6k/yr Published 3 months ago
AI-first team
Databricks

Lead the strategy and execution for observability and governance at Databricks, impacting performance and reliability for customers.

Databricks Mountain View, California; San Francisco, California $228.6k–$314.3k/yr Published 3 months ago
AI-first team
Databricks
Databricks Mountain View, California; San Francisco, California $189.8k–$256.2k/yr Published 6 months ago
Databricks

Join Databricks as a Technical Lead to drive the development of the Lakebase Manager, enhancing database reliability and performance.

Databricks Bellevue, Washington $182.4k–$247k/yr Published 1 month ago
Flexible on stack
Databricks
Databricks Mountain View, California $192k–$260k/yr Published 2 years ago
Databricks

Lead the technical design and implementation of complex finance data pipelines and AI systems at Databricks.

Databricks Bengaluru, India Published 2 months ago
Flexible on stack
Databricks
Databricks Mountain View, California; San Francisco, California $228.6k–$342.8k/yr Published 4 months ago
Databricks

Join Databricks as a Staff Research Engineer to develop cutting-edge data agents for enterprise AI applications.

Databricks San Francisco, California $190k–$270k/yr Published 2 months ago
Databricks

Design and implement distributed systems for Lakeflow pipelines to ensure resilience during infrastructure failures.

Databricks Mountain View, California; San Francisco, California $192k–$260k/yr Published 4 days ago
Flexible on stack