Description:

As a Data Engineer at Maze, you will 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.
This role influences everything from architecture decisions to data processing workflows.
You will be at the core of our technical team, driving innovation in how we collect, process, and utilize data to enhance our cybersecurity solutions.
Your contributions will include designing, implementing, and maintaining scalable data pipelines that process large volumes of security data efficiently.
You will architect and develop backend data systems, ensuring they are scalable, maintainable, and secure.
You will take ownership of the entire data lifecycle, from ingestion and storage to processing and visualization.
You will work closely with other engineers, data scientists, and product managers to ensure data systems support product features and analytical needs.
You will continuously monitor and improve data processing performance, security, and scalability.
You will define and enforce data quality standards, processing methodologies, and documentation to maintain high-quality data systems.
You will quickly prototype and iterate on new data solutions, adapting to evolving requirements and emerging technologies.
As the team grows, you will mentor junior engineers and lead by example in technical discussions and code reviews related to data systems.

Requirements:

You must have 7+ years of experience in software engineering with at least 4+ years focused on data engineering.
You should possess strong experience with data processing frameworks such as Spark, Kafka, and Airflow, as well as ETL workflows and data modeling.
Proficiency with both SQL and NoSQL databases is required, along with experience optimizing queries and database performance.
Familiarity with cloud data services like AWS Redshift, S3, Glue, and EMR, as well as DevOps practices including CI/CD for data pipelines, is necessary.
Strong coding abilities in Python, Java, or Scala with experience in data manipulation libraries are essential.
You should have strong analytical and problem-solving abilities, focusing on delivering robust and scalable data solutions.
Excellent communication skills and the ability to work effectively in a cross-functional team are required.
You must be comfortable working in a fast-paced startup environment with the ability to pivot and adapt as needed.

You will face ambitious data challenges, leveraging advanced data processing techniques to solve pressing challenges in cybersecurity.
You will work with petabytes of security data to uncover insights and enable proactive threat detection.
You will be part of a team of hands-on leaders with deep experience in Big Tech and Scale-ups, including members who have been part of leadership teams behind multiple acquisitions and an IPO.
Your work will have a significant impact, helping companies mitigate cybersecurity risks and drive better outcomes for all.