Staff Software Engineer - Database Engine Internals Organization

Databricks
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$192,000.0 - $260,000.0
Working hours
Regular working hours

Tech stack

Query Performance Artificial Intelligence Encodings Cyber Security Databases Extract Transform Load (ETL) Data Security Data Warehousing Distributed Systems Performance Tuning Query Optimization Software Engineering
+3 more
Database Engines Apache Spark Databricks

Job description

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

  • Query compilation and optimization
  • Distributed query execution and scheduling
  • Vectorized execution engine
  • Data security
  • Resource management
  • Transaction coordination
  • Efficient storage structures (encodings, indexes)
  • Automatic physical data optimization

Requirements

  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • Experience working towards a multi-year vision with incremental deliverables
  • Motivated by delivering customer value and impact
  • 8+ years of experience working in a related system (preferred)
  • Optional: PhD in databases or distributed systems

Pay Range Transparency, Apache Spark, Architectural Services, Artificial Intelligence (AI), Data Science, Data Warehousing, Database Extract Transform and Load (ETL), Database Technology, Distributed Computing, Diversity, Equal Employment Opportunity (EEO), Fortune 500 Customers, Information/Data Security (InfoSec), LinkedIn, Performance Tuning/Optimization, Query Optimization, Resource Management, Software Engineering, Total Cost of Ownership, Use Cases, YouTube

Benefits & conditions

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range $192,000-$260,000 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram., At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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