Remote Backend Engineer (Data Engineering)

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.
• Your work will influence everything from architecture decisions to data processing workflows.
• This position 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.
• 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, with a focus 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.

Benefits:

• 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, as helping companies mitigate cybersecurity risks ultimately drives better outcomes for everyone.