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1 дСнь назад

Senior Data Developer (AI)

110Β 000 - 140Β 000CAD
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Canada
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Senior Data Developer (AI): Building the centralized data and control plane and ingestion pipelines for internal AI transformation with an accent on RAG context engines and vector-based storage. Focus on designing high-throughput pipelines, optimizing warehouse schemas, and ensuring AI-native data security.

Location: Hybrid (Vancouver, BC, Canada). Fixed model: 3 days a week in office (Tuesday, Wednesday, Thursday).

Salary: $110k - 140k / year + bonus

Company

hirify.global is a global leader in Workforce Intelligence, providing AI-powered people analytics and workforce planning solutions for organizations worldwide.

What you will do

  • Define and evolve foundational data architecture across relational, columnar, and vector stores.
  • Build scalable pipelines and star schemas to consolidate multi-system enterprise data from sources like Salesforce, Gong, and ServiceNow.
  • Own the RAG context engine by designing embedding pipelines, chunking strategies, and index update mechanisms.
  • Develop robust transformation and entity resolution jobs to clean and deduplicate disparate source data.
  • Implement DataOps practices including automated testing, CI/CD, and end-to-end observability.
  • Integrate role-based access controls and security standards to safeguard retrieval layers against AI-specific risks.

Requirements

  • 5+ years of professional data engineering experience with a track record of owning enterprise architecture decisions.
  • Deep expertise with cloud data warehouses (Snowflake, Databricks) and ETL/ELT frameworks (dbt, Airflow, Airbyte, Fivetran).
  • Production experience with vector databases (e.g., pgvector, Pinecone, Weaviate) and embedding pipelines.
  • Strong command of dimensional modeling (star schema) and open table formats like Apache Iceberg.
  • Proficiency in Python and scripting with rigorous Git and CI/CD habits.
  • Practical understanding of LLM data consumption and AI security risks like prompt injection.

Culture & Benefits

  • Fixed hybrid work model with a pet-friendly downtown office and on-site gym.
  • Competitive salary, stock options, and top-tier health and wellness benefits.
  • Generous paid time off, including volunteering days and extra December holiday leave.
  • Annual company All Hands event in Vancouver for team building and learning.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’