Senior Software Engineer - Database Engine Internals

Databricks
Mountain View, CA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$166,000.0 - $225,000.0
Working hours
Regular working hours

Tech stack

Query Performance Extract Transform Load (ETL) Data Security Data Warehousing Database Engines Apache Spark

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 flexibility 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
  • Data security
  • Resource management
  • Transaction coordination
  • Automatic physical data optimization

Requirements

  • Experience working towards a multi-year vision with incremental deliverables
  • Motivated by delivering customer value and impact
  • 5+ years of experience working in a related system (preferred)

Pay Range Transparency

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: $166,000 - $225,000 USD About Databricks, 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, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance

About the company

Databricks is the data and AI company. More than 10,000 organizations worldwide-including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500-rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Fran isco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on careerboard.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

1:54 min

Embedding data engineering to solve database scalability

Mikael Robert Mikael Robert · WWC 2025

3:22 min

Embracing polyglot persistence versus strictly relational databases

Stefan Priebsch · WWC 2021

4:04 min

Embedding data security and applied ethics into developer education

Daniel Tao +3 · WWC 2024

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

2:56 min

Options for database machine learning integration architectures

Akmal Chaudhri Akmal Chaudhri · LIVE

Videos

See all

Related articles

See all