Senior Data Engineer, Security Customer Protection

**Job Category **:Products and Technology

**Job Details**:
**About Us**

Our Security team supports the unwritten fourth tenet of Slack’s mission: make people’s working lives more secure. We’re serious about protecting our infrastructure, operations, and most importantly, our customers’ data. We take a systemic approach to security, and strive to ensure we provide low friction high-impact security across everything we do.

As a member of the Slack Security Customer Protection team, you are the first line of detection of bad actors using Slack in unwanted and unexpected ways. As Slack’s data, number of customers, and features grow, protecting customers’ data from unwanted behaviors becomes an ever more significant and complicated problem. This team develops tooling to tease out high-quality signals from all the noise and collaborates with analysts to detect unwanted behaviors, such as fraud and abuse, among others. Your work directly impacts the way millions of people, teams and businesses get things done.

Slack's API and web backend is built using PHP/Hack, and our backend services are written in Java and Go. We use Airflow, Presto, Hive and Spark to interact with our data infrastructure.

Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we seek to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?

**What you will be doing**
- Implement insightful and forward-looking approaches that go beyond the direct team and tackle larger open-ended problems.
- Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs.
- Build and scale data systems that power batch and real-time data processing of hundreds of billions of records daily.
- Collaborate with Data and Backend Engineering teams as well as Core platform and Features teams to understand and contribute to product and feature development that may impact our security model.
- You’ll partner with the Detection and Analysis team to collect requirements for new developments and understand their impact to customers.
- You’ll provide implementations to expose useful data to internal and external partners.

**What you should have**
- Proficiency working with 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. We write Python and Go here, but are interested in seeing where you shine. (Java, Scala, Rust or other modern languages should be suitable as well)
- Experience working in a security function or understanding of and interest in 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.
- Dedication to code quality, automation and operational excellence: unit/integration/data quality tests, scripts, workflows.
- You can lead technical architecture discussions and help drive technical decisions within your team.
- Strong communication. Explaining complex technical concepts to designers, support, and other engineers is no problem for you.
- Keen Collaboration Skills. Collaborating is core to how we operate and this excites you To us, this means working with other teams in engineering, security, and customer success/experience to ensure we’re not missing a beat as threats from baddies grow.
- Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience.
- At this level, 4-7 years of proven ability is a typical guidepost, but in no way a requirement.

**Accommodations**:
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