
$125k – $155k /yr
New, posted 7 hours ago

DatabricksBellevue, WAPosted 7 hours ago
At Databricks, the goal is to enable data teams to solve the world's toughest problems, from security threat detection to cancer drug development. This is done by building and running the world's best data and AI infrastructure platform, so customers can focus on the high value challenges central to their missions.
The mission is to radically simplify the whole data lifecycle, from ingestion to ETL, BI, and ML/AI, through a unified platform. The team believes the data warehouse architecture as it is known today will be replaced by the Lakehouse pattern (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics. This architecture is meant to address challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.
On this team, you could work in one or more of the following areas:
Databricks is hiring New Grad Software Engineers for Distributed Data Systems across multiple offices. Apply for the single location you are most interested in, as the team will discuss further as you move through the process. Only one application can be considered in 30 days.
Pay Range Transparency: Databricks pays fairly and equitably. The expected range is $145,000 to $155,000 USD for Zone 1 and $137,750 to $147,450 USD for Zone 2. Actual pay depends on factors such as job-related skills, experience, certifications, training, and work location, and Databricks expects to use the full width of the range. The package may also include an annual performance bonus, equity, and benefits.
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, use the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices worldwide, Databricks offers a unified platform including Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Databricks is committed to a diverse and inclusive culture where everyone can excel. Hiring practices are meant to meet equal employment opportunity standards, and candidates 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.
Export control: If access to export-controlled technology or source code is required for the job, Employer decides whether to apply for a U.S. government license, and may decline to proceed with an applicant on this basis alone.

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