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Security Data Analytics Engineer, PMTS

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Salary: 
177 - 296K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
California (USA), United States

Offer summary

Qualifications:

Experience in data technologies for analytics, Deep understanding of data processing methods, Expertise in high-level programming languages, Experience in security function or strong interest, Ability to craft backend data services.

Key responsabilities:

  • Analyze data pipelines and identify patterns
  • Organize and query datasets for detection projects
  • Develop innovative signals for customer workspaces
  • Build and scale data systems for processing
  • Collaborate with multi-functional teams towards security features
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Salesforce XLarge https://www.salesforce.com/
10000+ Employees
HQ: San Francisco
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Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Our Security team supports the unwritten fourth tenet of Slack’s mission: make people’s working lives more secure. We are passionate about protecting our infrastructure, operations, and most importantly, our customers’ data! We take a thoughtful approach to security, and strive to deliver low friction high-impact features to protect our customers. 

As Slack’s data, customers, and features grow, protecting customers’ data becomes an even more significant challenge. As a member of the Slack Security Customer Protection team, you would be primarily focussed on detecting entities who intend/attempt to use Slack for malicious purposes. You will develop and use tools to tease out high-fidelity signals from the noise, while collaborating with your peers to respond to and eradicate unwelcome behaviors(such as fraud, abuse, spam etc.) on the platform. You would play a key role in analyzing large data sets and identifying potential outliers from a Slack workspace security perspective.

What you will be doing

  • You will understand the current data pipelines and datasets, and come up with innovative solutions to analyze them and identify unique outliers and patterns

  • Participate in efforts to organize and query the datasets to support various detection engineering projects in flight

  • Envision and develop innovative signals and roll them out across customer workspaces

  • Build and scale data systems that power batch and real-time data processing of hundreds of billions of records daily

  • Collaborate with key multi-functional teams (Data and Backend engineering teams, Core platform and product teams etc.) to contribute towards security specific in-product feature development efforts.

Requirements

  • Experience in data technologies that power analytics (e.g. Airflow, Hive, Spark, Presto, Kafka, Pinot, MySQL or similar technologies).

  • Deep understanding of data processing (relational, key/value, document, columnar, graph).

  • Expertise in high-level programming languages (Python, Go, Java, Scala, Rust or other modern languages)

  • Experience working in a security function or understanding of and curiosity about learning more about security engineering 

  • Skilled at crafting and building robust backend data services (distributed systems, concurrency models, microservices) that distill practical insights out of large amounts of data.

  • Ability to clearly articulate sophisticated technical concepts to designers, support, and other specialists

  • An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus.

*LI-Y

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $176,800 to $296,400.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Problem Solving
  • Collaboration

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