Data Engineer, Event Data

Accountabilities:

• • Design, build, and maintain scalable event-streaming pipelines that ingest data from client systems, internal services, and third-party sources.
  • Develop and operate analytical databases and data models optimized for high-volume event workloads, efficient querying, and low-latency data access.
  • Build production-grade services in Elixir and/or Python for event processing, transformation, routing, and integration.
  • Integrate legacy event pipelines with modern streaming infrastructure, designing migration strategies that reduce risk and minimize disruption for downstream consumers.
  • Establish and maintain monitoring, alerting, observability, and operational tooling to ensure pipeline health, data freshness, reliability, and SLA compliance.
  • Define and enforce event schemas, data contracts, and data-quality standards in collaboration with teams that produce and consume event data.
  • Partner with data platform, product engineering, and analytics teams to understand requirements and deliver reliable, scalable event data products.
  • Participate in architecture and system design reviews, contributing to technical decisions and establishing best practices for event-data engineering.
  • Develop and maintain infrastructure using Infrastructure-as-Code approaches, supporting reliable and repeatable deployment of data systems.
  • Contribute to operational documentation, runbooks, and production processes that enable dependable management of large-scale event data systems.

  Requirements:

  • Strong proficiency in Elixir and/or Python, with experience building application connectors, data services, processing components, or production pipeline infrastructure.
  • Advanced SQL skills, including data modeling, query optimization, and analytical workloads.
  • Hands-on experience operating columnar or OLAP databases in production at significant scale.
  • Practical experience with stream-processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is particularly valuable.
  • Demonstrated ability to integrate and migrate systems across legacy and modern architectures while managing technical and operational risk.
  • Proven experience operationalizing production data pipelines, including monitoring, alerting, SLA dashboards, runbooks, and incident-response practices.
  • Experience designing and operating data systems on AWS; GCP experience is an advantage.
  • Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or comparable technologies.
  • Strong understanding of scalable event-data architectures and production reliability.
  • Excellent collaboration and communication skills, with the ability to lead design discussions, write clear technical specifications, and work effectively across engineering and data teams.
  • Experience working with retail or customer-event data, such as clickstream, purchase, or product-interaction events, is a plus.
  • Familiarity with Databricks, Flink, Kafka, Pulsar, or Kinesis is an additional advantage.
  • Ability to take ownership in a newly formed team and contribute to architectural decisions, engineering standards, and long-term technical direction.

  Benefits:

  • CAD $130,000–$165,000 base salary range, depending on job-related knowledge, skills, and experience.
  • Potential additional bonus, depending on the position ultimately offered.
  • Comprehensive medical, financial, and other benefits.
  • Remote work opportunity in Canada.
  • Opportunity to join a newly formed team and help shape the architecture of a critical data platform from the ground up.
  • Exposure to modern streaming, analytical database, cloud, and distributed data technologies at billions-of-events scale.
  • Significant technical ownership and opportunities to influence engineering standards and best practices.
  • Collaborative environment with close interaction across data platform, product engineering, and analytics teams.
  • Inclusive workplace committed to creating an environment where people from diverse backgrounds can thrive.
  • Equal opportunity employment and consideration for candidates with diverse experiences and perspectives.