Data Engineer

We're looking for a Data Engineer with experience in building scalable, secure, and high-performing web applications that help organizations manage and reduce their cybersecurity risks.

In this role, you will work with cross-functional partners to develop new features, improve existing systems and support our mission of making risk visibility actionable and accessible.

Responsibilities:

Design, develop, and maintain high-quality, maintainable, and scalable code primarily using Elixir and JavaScript

Build and enhance web application features that support risk assessment workflows and interactive data visualizations

Collaborate with team members in Agile ceremonies, sprint planning, and code reviews to ensure consistent delivery.

Partner with QA to ensure test coverage across unit, integration, and performance layers.

Contribute to architectural decisions and help improve system reliability and maintainability.

Participate in production support and help troubleshoot issues as part of an on-call rotation.

Continuously learn and apply new tools, frameworks, and technologies to improve development workflows and product quality.

Qualifications:

Bachelor's degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent work experience.

At least 5 years of experience in Python scripting.

Develop and optimize data pipelines using Python for large-scale data processing.

Perform big data manipulation and transformation across distributed systems using Spark, Hadoop, AWS.

Automate data workflows and ensure high performance and reliability.

Proficiency in JavaScript, with the ability to develop dynamic front-end interfaces and interact with RESTful APIs.

Expertise in SQL writing optimized queries and working with relational databases such as Postgres.

Experience developing applications using Elixir is a plus.

Deep understanding of core software engineering principles including data structures, design patterns, and clean coding practices.

Familiarity with Agile development methodologies, including Scrum or Kanban.

Familiarity with Docker containers, Amazon Web Services (AWS), and Terraform for infrastructure as code.

Exposure to Ruby, React, HTML, and CSS for full stack development.Working knowledge of modern data and infrastructure technologies such as Postgres, MongoDB, Elasticsearch, Kubernetes for container orchestration Kafka for event streaming and messaging.