Data Engineer

Canada
Remote
Posted Oct 19, 2026
1 position

Opens LinkedIn

Employment type: Full-time
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Associate

Job summary

Define the architecture and engineering standards for Coalition’s data platform, and build governed, reliable data pipelines and reusable data products for analytics, actuarial, operational, and AI/ML use cases. Establish data quality, observability, security, lineage, and incident-management practices while collaborating across teams and leading platform optimization.

Job details

About The Company Coalition is the world's first Active Insurance provider dedicated to preventing digital risks before they materialize. Established in 2017, Coalition uniquely combines comprehensive insurance coverage with cutting-edge cybersecurity tools to assist businesses in managing and mitigating potential cyber threats. Our innovative approach emphasizes proactive risk management, enabling organizations to stay ahead of evolving digital threats and secure their operations effectively. As a leader in the cyber insurance industry, Coalition is committed to empowering clients with reliable data solutions and security strategies that foster resilience and trust in an increasingly digital world. About The Role We are seeking a highly experienced Staff Data Engineer to join Coalition’s Data team. In this strategic role, you will be responsible for defining the architecture and setting the technical direction for our enterprise Data & Analytics platform. Your expertise will drive the development of scalable, reliable data infrastructure supporting cybersecurity, insurance exposure analytics, business intelligence, actuarial workflows, and AI/ML products. By building trusted data pipelines and platforms, you will enable Coalition to make more informed risk decisions, deliver high-quality data products, and scale our mission to Protect the Unprotected. This position offers an exciting opportunity to influence the technical landscape of a rapidly growing organization dedicated to innovative digital risk management solutions. Qualifications 9–12 years of experience in building and operating production data platforms. Proven track record of owning architecture for complex or high-scale data systems. Deep expertise in Snowflake and dbt, including performance tuning, incremental processing, and cost management. Strong programming skills in Python and SQL, with experience designing dimensional models or Data Vault 2.0 architectures. Experience developing reliable batch and streaming data pipelines using tools such as Airflow, Kafka, Kinesis, or Snowpipe Streaming. Knowledge of establishing data products, data contracts, SLAs, access controls, lineage, and quality standards across multiple teams. Experience in building feature engineering infrastructure, embeddings, vector search, or retrieval-augmented AI pipelines. Production experience with Looker and LookML, including governance of semantic models and centralized metrics. Strong leadership skills with the ability to influence architecture decisions, mentor engineers, and establish durable standards. Responsibilities Define and enforce architecture and engineering standards for Snowflake, dbt, orchestration, streaming, and infrastructure-as-code across the data platform. Design governed Medallion pipelines and domain-oriented data models to ensure data reliability, discoverability, and usability. Develop reusable data products, contracts, feature stores, and semantic models to serve BI, actuarial, AI/ML, and operational teams. Implement observability, data quality, lineage, security, and incident-management practices to safeguard data integrity and compliance. Build foundational platform components for feature engineering, embeddings, vector search, and AI retrieval applications. Collaborate closely with engineering, product, underwriting, actuarial, security, and business teams to align architecture with strategic goals and customer needs. Lead efforts to optimize data workflows, improve pipeline reliability, and support scalable analytics and AI initiatives. Benefits 100% medical, dental, and vision coverage for employees and dependents. Flexible paid time off to support work-life balance. Annual stipend for home office setup and access to WeWork spaces. Wellness programs focused on mental and physical health, including Headspace and Lumino subscriptions. Competitive compensation packages with opportunities for career advancement. Remote-first work environment promoting inclusivity and flexibility. Equal Opportunity Coalition is an Equal Opportunity employer committed to fostering an inclusive workplace. We provide equal employment opportunities to all individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other characteristic protected by applicable law. We do not tolerate discrimination or harassment and strive to create a diverse environment where everyone can thrive. We support reasonable accommodations for qualified individuals with disabilities throughout the hiring process and employment lifecycle. Our commitment to diversity and inclusion reflects our core values and dedication to building a supportive, respectful, and equitable organization.

What you’ll do

Requirements

Requires 9–12 years of experience building and operating production data platforms, including ownership of architecture for complex or high-scale systems. Candidates should have deep Snowflake and dbt expertise, strong Python and SQL skills, experience with batch and streaming pipelines and Looker/LookML, and the leadership ability to guide architecture and mentor engineers.