Backend Engineer (Data Engineering) - Remote

Overview

As a Data Engineer at Maze, you'll play a pivotal role in shaping our data infrastructure and pipeline development. You will have the unique opportunity to design, build, and scale robust data systems from the ground up, influencing everything from architecture decisions to data processing workflows. This is an exciting chance to be at the core of our technical team, driving innovation in how we collect, process, and utilize data to enhance our cybersecurity solutions.

In Short

• Design, implement, and maintain scalable data pipelines that process large volumes of security data efficiently.
• Architect and develop backend data systems, ensuring they are scalable, maintainable, and secure.
• Take ownership of the entire data lifecycle, from ingestion and storage to processing and visualization.
• Work closely with other engineers, data scientists, and product managers to ensure data systems support product features and analytical needs.
• Continuously monitor and improve data processing performance, security, and scalability.
• Define and enforce data quality standards, processing methodologies, and documentation.
• Quickly prototype and iterate on new data solutions, adapting to evolving requirements.
• Mentor junior engineers and lead technical discussions related to data systems.

Requirements

• 7+ years of experience in software engineering with at least 4+ years focused on data engineering.
• Strong experience with data processing frameworks (e.g., Spark, Kafka, Airflow), ETL workflows, and data modeling.
• Proficiency with both SQL and NoSQL databases, with experience optimizing queries.
• Familiarity with cloud data services (e.g., AWS Redshift, S3, Glue, EMR) and DevOps practices.
• Strong coding abilities in Python, Java, or Scala with experience in data manipulation libraries.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and ability to work in a cross-functional team.
• Comfort working in a fast-paced startup environment.

Benefits

• Working with advanced data processing techniques to solve pressing challenges in cybersecurity.
• Being part of a team with deep experience in Big Tech and Scale-ups.
• Contributing to impactful work that helps companies mitigate risk.