Associate Data Engineer at BeyondTrust

Job description

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio. Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself. The Role As an Associate Data Engineer at BeyondTrust, you will contribute to building and enhancing our data lake which currently consumes billions of events each day. You will leverage state-of-the-art data engineering tools to help develop cost-effective cloud solutions that enable next-level cybersecurity research. You will maintain and optimize existing infrastructure, build new data assets, and collaborate with experienced engineers to deliver reliable data solutions that drive business value. What You’ll Do Contribute to data modelling efforts that support identity security use cases and analytical requirements. Develop and maintain data pipelines that bring together complex information from disparate systems to support security analysis in the datalake Optimize data workloads at a software level by improving processing efficiency. Work with senior engineers to identify areas for process improvement and help implement solutions. Use monitoring and observability best practices to ensure optimal pipeline performance. Assist with ML Operations to ensure optimal model efficiency. Leverage CI/CD best practices to effectively develop and release source code. Participate in code reviews and collaborate with team members to improve engineering practices. What You’ll Bring Programming and technology knowledge in cloud data processing. Spark experience is needed, existing Databricks knowledge is a plus. Ability to learn fast and strong desire to develop Interest in cybersecurity; interest in identity security is preferred. Understanding of software engineering principles, data structures, and distributed data processing concepts. Experience working with distributed systems and data processing on object stores. Ability to work autonomously and collaboratively. Technologies You Should Know Required: Data warehousing for analytics use cases Required: Proficient in Python (or another object orientated language) Required: Distributed processing framework experience Highly Preferred: Spark Highly Preferred: Realtime processing experience. Ideal: Some experience with graph data stores Better Together Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected. We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together. About Us BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders. BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners. Learn more at www.beyondtrust.com .

Requirements

Must-haves

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.
What You’ll Do
Contribute to data modelling efforts that support identity security use cases and analytical requirements.
Develop and maintain data pipelines that bring together complex information from disparate systems to support security analysis in the datalake
Optimize data workloads at a software level by improving processing efficiency.
Work with senior engineers to identify areas for process improvement and help implement solutions.
Use monitoring and observability best practices to ensure optimal pipeline performance.
Assist with ML Operations to ensure optimal model efficiency.
Leverage CI/CD best practices to effectively develop and release source code.
Participate in code reviews and collaborate with team members to improve engineering practices.
What You’ll Bring
Programming and technology knowledge in cloud data processing.
Ability to learn fast and strong desire to develop
Understanding of software engineering principles, data structures, and distributed data processing concepts.
Experience working with distributed systems and data processing on object stores.
Ability to work autonomously and collaboratively.
Technologies You Should Know
Required: Data warehousing for analytics use cases
Required: Proficient in Python (or another object orientated language)
Required: Distributed processing framework experience

Nice-to-haves

Spark experience is needed, existing Databricks knowledge is a plus.
Interest in cybersecurity; interest in identity security is preferred.
Highly Preferred: Spark
Highly Preferred: Realtime processing experience.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlci/cdpython

Platform: greenhouse
Effort: quick