Job Description
Job Description
About the Role
Abnormal Security is looking for a Senior Software Engineer to join the Detection Team. The Detection Division is focused on building the world's most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place. As a Data Engineer focused on building systems for Detection's Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science team.
The ideal candidate would have the following qualities :
- A first principles approach to building scalable, customer-centric solutions
- A drive to solve meaningful & pragmatic problems for real-world people
- An ownership and impact oriented outlook on your efforts and growth
- An ability to iterate in real-time-solving novel problems, quickly and autonomously
- An ability to iterate in real-time - solving novel problems, quickly and autonomously
What you will do
Architect, design, build, and deploy backend ETL jobs and infrastructure that support a world-class Detection EngineOwnership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection's Data Pipeline by 10xOwn real-time, near real-time streaming pipelines and online feature serving servicesCollaborate closely with MLE and Data Science teams, by distilling feedback, correlating it to our strategy, and executingCoach and mentor junior engineers via 1on1s, pair programming, high quality code reviews and design reviewsMust Haves
5 years of experience as a data engineer or in a similar role, with hands-on experience in building data-focused solutions.Expertise in ETL, data pipeline design, and data engineering tools and technologies (e.g., Apache Spark, Hadoop, Airflow, Kafka)Experience with maintaining real-time and near real-time data pipelines or streaming services at high scaleExperience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based data engineering.A background in implementing data quality frameworks including validation, monitoring, and anomaly detection to ensure data accuracy, consistency, and reliability. You know how to design checks and alerts to maintain data integrity and quickly respond to potential issues.Proven ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders. You're able to translate requirements into actionable technical tasks, communicate progress clearly, and adapt to feedback.Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You're capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability.Nice to Have
Familiarity with machine learning workflows and requirements to support data science teams effectively.Experience with streaming data architectures and real-time processing.Knowledge of security and compliance frameworks as they relate to data engineering and data privacy.LI-RT1
At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.
Base salary range : 176,000—$207,000 USD
Salary : $176,000 - $207,000
