Principal Data Engineer

We are looking for a Principal Data Engineer to drive improvements in the Digital Risk Protection department.

- Identify, scope, and own technical solutions necessary to achieve data convergence across Digital Risk Protection systems and data streams

- Mentor direct reports to bring out the best in all members of the team

- Work with the Malicious Sites, Identity, and Surface Web teams to align, analyze, and ingest digital risk data streams into Digital Risk Protection systems and the Intelligence Graph

- Develop, productize, monitor, and maintain DRP-focused data pipelines to analyze and ingest data at scale

- Build tools and APIs to facilitate access to data and analytics developed from Digital Risk Protection systems and the Intelligence Graph

- Analyze and explain patterns in digital risk data to drive business-critical decisions

- Create technical project plans and drive the successful execution of DRP initiatives, with input from our Product team and other developers on your team

- Message buses (e.g. Kafka, RabbitMQ), MongoDB, graph databases like AWS Neptune/Neo4j, cloud computing tools, and ElasticSearch

- Preferred experience with orchestration tools such as Argo CD, Kubernetes, Prefect

- Developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI)

- Architecting and delivering production-grade applications and ETL/ELT pipelines

- Applying statistical techniques to draw accurate, impactful conclusions

- Ability to present information to stakeholders with varying levels of technical expertise

- Experience engaging with technical leaders across geographies and divisions/companies

- Excellent written & verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation

- Eagerness to continue learning and teaching new skills to team members, in order to raise the bar across the team

- Proven success in architecting, leading, and delivering high-impact projects

- Efficient & accurate problem solving skills, including the ability to debug both software and data

- Excellent attention to detail & ability to work independently while delivering high-quality results

- Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience

The base salary range for this full-time position is $152,000- $228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations.

Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.