Data Engineer, Security

About the role

Coalition, Inc. is seeking a Data Engineer with a strong focus on Security to join their dedicated team. This role is central to building and maintaining the data infrastructure that powers the organization security monitoring, threat detection, and incident response capabilities. The engineer will work closely alongside security analysts, product teams, and other engineering colleagues to design reliable data pipelines and ensure that critical security information flows smoothly and consistently across all systems. The position offers a flexible work arrangement for candidates based anywhere within Canada.

Key facts

What you'll do

• Design and build scalable data pipelines that ingest, transform, and load security telemetry from multiple sources.
• Develop and maintain data models that organize threat intelligence, vulnerability scans, and security event logs effectively.
• Work closely with security analysts to understand their data needs and translate requirements into technical specifications.
• Implement automated data quality checks and validation processes to ensure accuracy across all security datasets.
• Create interactive dashboards and reports that enable security teams to monitor threats and track key indicators.
• Optimize existing data infrastructure for performance, reliability, and cost efficiency while maintaining strict security standards.
• Troubleshoot data pipeline failures, storage issues, and downstream consumption problems that impact security operations.
• Write comprehensive documentation covering data architectures, pipeline configurations, and operational runbooks for team reference.
• Participate in on-call responsibilities to address data-related incidents and support real-time security incident response.
• Evaluate emerging data technologies and tools that could enhance the organization security analytics and engineering capabilities.
• Collaborate with cross-functional teams to define data governance policies and ensure compliance with internal security standards.
• Build batch and streaming data processing workflows that support both historical analysis and real-time alerting needs.
• Partner with data governance stakeholders to establish standards for handling sensitive and classified security information.
• Mentor junior team members and contribute to a culture of continuous learning and engineering excellence.

Requirements

• Demonstrated experience in data engineering roles with a focus on building reliable and secure data pipelines.
• Solid understanding of database systems including both relational databases and non-relational data storage solutions.
• Familiarity with security fundamentals such as access control, data encryption, and information protection practices.
• Proficiency in writing clean and well-structured code using general-purpose programming languages for data tasks.
• Knowledge of data pipeline architectures including batch processing, stream processing, and event-driven design patterns.
• Experience working with cloud-based data platforms and their associated services for large-scale data workloads.
• Strong analytical thinking and problem-solving skills applied to complex data and security challenges.
• Excellent written and verbal communication abilities for collaborating with engineers, analysts, and leadership.
• Experience with data warehousing concepts and dimensional modeling for organizing large volumes of security data.
• Comfort with ambiguity and the ability to prioritize tasks in a fast-paced and evolving environment.

Nice to have

• Prior experience in security operations centers or threat intelligence teams working with real-time data feeds.
• Familiarity with data governance frameworks, privacy regulations, and organizational compliance standards in enterprise settings.
• Hands-on experience with containerization technologies and orchestration platforms for deploying and managing data services.
• Track record of contributing to open-source data engineering or security projects and communities.
• Understanding of identity and access management systems and their integration with modern data platforms.
• Exposure to regulatory frameworks such as GDPR or SOC 2 and their impact on data handling practices.

Skills & tools

• SQL and advanced query writing for extracting and manipulating data from large-scale repositories.
• General-purpose programming languages used for building data pipelines, automation scripts, and tooling.
• Data modeling methodologies and schema design patterns for both analytical and operational workloads.
• Version control systems and infrastructure-as-code practices for managing data pipeline configurations.
• Monitoring and observability platforms used to track pipeline health, data freshness, and system performance.
• Data integration patterns and ETL concepts for moving and transforming information across systems.
• Data visualization libraries and frameworks for presenting security metrics and trends to diverse audiences.

Practical notes

• This position is open to candidates located anywhere within Canada with flexible work arrangements.
• Coalition, Inc. is committed to building a diverse and inclusive workplace and encourages all qualified applicants.
• The interview process typically includes technical assessments, system design conversations, and discussions about team collaboration.
• Candidates should be ready to share examples of data engineering projects and their security-related experience.
• The hiring team will provide clear timelines and next steps to all individuals who apply.
• Internal team members are available to answer questions about the role, the company culture, and expectations.