United States onlyRDQ125R45
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
As a Staff Data Infrastructure Engineer on the security data infrastructure team you will help build data infrastructure for the security team. You will build reliable, large-scale, multi-geo data pipelines to support detecting threats(internal and external threats) in Databricks systems, incident response forensics analysis and periodic compliance audits. You will build and deploy data pipelines in multi cloud(AWS, Azure and GCP) environments to process data and logs from external SaaS systems
The impact you will have:
- Architect and build data pipelines to collect telemetry and logs from millions of virtual machines running in the cloud(AWS, Azure and GCP).
- Design the base ETL framework that can be used by all pipelines developed in the security team.
- Partner with security engineers, detection engineers and incident response engineers to build bronze, silver, gold quality data sets to meet detection, forensics and compliance needs.
- Develop best practices and standards that can be used by data engineers in the security team to build, optimize and maintain data pipelines.
- Build tools to detect, improve data quality and monitor data pipeline performance.
- Perform on-call rotation to support any production issues or troubleshooting production jobs.
What we look for:
- 7+ years of experience in software or data engineering.
- 3+ years of experience in programming with python, scala or SQL. (preference for python)
- 3+ years of experience in building data pipelines using Spark or dataframes.
- 2+ years of experience in AWS, Azure or GCP.
- BS (or higher) in Computer Science, or a related field.
- Comfortable in exploring new tech or finding creative ways to solve problems.
- Experience in data security, security engineering or detection engineering.
- Good communication skills, both written and verbal.
Benefits
Medical, Dental, and Vision
401(k) Plan
FSA, HSA and Commuter Benefit Plans
Equity Awards
Flexible Time Off
Paid Parental Leave
Family Planning
Fitness Reimbursement
Annual Career Development Fund
Home Office/Work Headphones Reimbursement
Employee Assistance Program (EAP)
Business Travel Accident Insurance
Mental Wellness Resources
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, LinkedInandFacebook.
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.
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