Назад
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6 дней назад

Senior Associate Engineer - Data (Databricks)

110 000 - 122 500CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Associate Engineer - Data (Databricks): Building and optimizing scalable data pipelines, storage solutions, and processing workflows with an accent on Databricks, Azure Data Services, Snowflake, data quality, and governance. Focus on designing real-time and batch ETL/ELT systems, securing sensitive data, and integrating lakehouse infrastructure with analytics and business requirements.

Location: Toronto, Canada; hybrid work with a combination of home working and on-site presence at client or hirify.global offices

Salary: $110,000–$122,500 per year

Company

hirify.global is a management consulting and technology firm combining data, science, technology, and human ingenuity to create solutions and technology products for patients, caregivers, consumers, and business clients.

What you will do

  • Design, build, orchestrate, and optimize scalable ETL/ELT data pipelines across databases, APIs, streaming platforms, and file systems.
  • Develop data integration solutions for real-time, batch, and incremental processing across warehouses, data lakes, and lakehouse environments.
  • Implement data quality checks, validation, monitoring, alerting, and performance optimization.
  • Manage relational, NoSQL, and distributed storage solutions, compute clusters, and data processing infrastructure.
  • Implement encryption, access controls, auditing, data governance, and security controls for sensitive data and regulatory compliance.
  • Provide technical guidance to junior engineers and collaborate with data scientists, business analysts, clients, and engineering teams.

Requirements

  • Bachelor’s or master’s degree in computer science, data engineering, or a related technical field.
  • 4+ years of experience in data engineering, including scalable data systems and Snowflake.
  • Hands-on experience with Databricks, PySpark, Delta Lake, Unity Catalog, Azure Data Services, SQL, and Python.
  • Knowledge of dimensional, relational, and modern lakehouse data modeling, ETL/ELT orchestration, and data governance and security.
  • Experience with distributed computing, cloud-based data services, requirements gathering, and stakeholder workshops; working knowledge of Power BI.
  • Fluent English and availability to travel to other offices or client locations as needed.

Culture & Benefits

  • Cross-functional skills development, custom learning pathways, and milestone training programs.
  • Career progression opportunities, internal mobility, and paths for individual contribution and role expansion.
  • Comprehensive rewards supporting health and well-being, financial security, time away, and professional development.
  • Collaborative, client-first environment with flexible home and on-site work.
  • Client-facing roles require travel according to project and business needs.

Hiring process

  • Submit an online application with a full set of official or unofficial transcripts.
  • Candidates must possess or be able to obtain work authorization for their intended country of employment.

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