Databricks
Senior Software Engineer - Database Engine Internals
Databricks, San Francisco, California, United States, 94199
P-97
Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. 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 of general purpose systems such as 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:
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
What we look for:
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
5+ years of experience working in a related system (preferred)
Optional: PhD in databases or distributed systems
Benefits
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Mental wellness resources
COVID-19 Vaccination Requirement
As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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.
Local Pay Range:
$166,000 — $225,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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.
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Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. 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 of general purpose systems such as 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:
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
What we look for:
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
5+ years of experience working in a related system (preferred)
Optional: PhD in databases or distributed systems
Benefits
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Mental wellness resources
COVID-19 Vaccination Requirement
As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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.
Local Pay Range:
$166,000 — $225,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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.
#J-18808-Ljbffr