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Databricks
P-343
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.
As a Spark Technical Solutions Engineer, you'll leverage your technical expertise to resolve Spark/ML/AI/Delta/Streaming/Lakehouse issues for Databricks customers. You'll troubleshoot Spark-related challenges, assisting customers in their Databricks journey, and contributing to ongoing product support. You will be reporting to the Sr. Manager of Technical Solutions.
The impact you will have:
What we look for:
U.S. Citizenship Requirement
In order to comply with the U.S. Government information security and federal contractor regulations, including Department of Defense Cloud Computing Security Requirements for Impact Level 6 Cloud Service Provider personnel, and facilitate compliance with other regulations such as FedRAMP High baseline, and requirements of certain federal contracts, this role is open to United States citizens on United States Soil only.
Benefits
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. For more information regarding which range your location is in visit our page here.
About Databricks
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 Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.