Elevate your career as a Data Developer at Visier, the leader in Workforce Intelligence, with a hybrid work model.

You'll design and build high-throughput data pipelines and governance layers that empower AI transformation.

At Visier, you will lead the design of our centralized data infrastructure as part of an creative team.

Your role involves utilizing your data engineering expertise across various stores to create secure DataOps platforms that enable reliable query execution on live data.

You will also transform fragmented enterprise data into trusted context for maximized efficiency.

Key Responsibilities:
• Define and evolve data architecture standards
• Build scalable ingestion pipelines and warehouse designs




• Own the architecture for the RAG context engine
• Clean and deduplicate entities across various systems
• Implement CI/CD and schema drift detection

Requirements:
• 5+ years of data engineering experience
• Proficiency with Snowflake, Databricks, and dbt
• Experience with vector databases like Pinecone
• Solid Python and CI/CD skills
• Knowledge of AI security standards

Be a driving force in Visier's data innovation and technology expansion!
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Required Skill Profession

It & Technology

📌 Data Developer At Visier Hybrid Role Vancouver (Canada)
🏢 Doist
📍 Canada