Senior Data Infrastructure Engineer
Mountain Vie +11
Senior · Full time
Posted 6 months ago

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

As a Senior 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:

  • 5+ 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.
  • Comfortable in exploring new tech or finding creative ways to solve problems.
  • Experience in security engineering or detection engineering.
  • BS in Computer Science/Engineering/Information Systems or equivalent experience


  • 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

About Databricks

Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on TwitterLinkedIn 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.

Databricks is a data-and-AI company that interacts with corporate information stored in the public cloud.
Size:  1001-5000 employees
Funding Level:  Late-stage Startup
Total Amount Raised:  1897.0 M
Year Founded:  2013
T. Rowe Price
Andreessen Horowitz
Salesforce Ventures
Battery Ventures
Dragoneer Investment Group
© 2022 Pallet Labs Inc. See privacy policy and terms of service
Get started on Pallet
Race Capital - Portfolio Jobs is on Pallet — Where creators turn their community into recruiting networks