Senior Software Engineer, Data
New
H
hive.coEvent Marketing
Canada (Remote)Full-TimeSenior
Salary123600 - 187900 CAD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonDjangoElasticSearchMongoDBSnowflakeAirflowClickhouseDistributed Systems
Requirements
- 8+ years of hands-on data engineering experience
- Proven track record of designing, building, and operating large-scale distributed data systems in production
- Strong foundations in distributed systems principles
- End-to-end ML engineering experience: feature engineering and feature store design, training pipeline orchestration, model deployment and serving infrastructure, and production monitoring
- Experience applying LLMs and agentic systems in production data or ML contexts
- A product and commercial orientation
- Comfortable operating independently and making progress in ambiguous, fast-changing environments
- Biased toward action, making decisions with imperfect information and iterating quickly
- Skilled at troubleshooting complex systems and building durable solutions
Responsibilities
- Play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently leadership can make bets.
- Build our Data Platform: Design and own a cloud-native big data platform handling audience data for millions of attendees and billions of interactions a year.
- Build our ML Platform: Design and own the infrastructure that takes models from experiment to production — feature stores, training pipelines, model serving, and monitoring.
- Own the Full Pipeline — and Its Business Impact: From Change Data Capture through validation, transformation, and denormalization — you drive the stack end to end.
- Treat Data as a Product: You define SLAs, obsess over data health, build for discoverability.
- Build and Leverage Agentic Systems: You use AI coding agents (e.g. Claude Code) as a force multiplier. And you build LLM-powered pipelines and autonomous agents that enrich, classify, and act on audience data at scale.
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