Назад
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6 дней назад

Marketing Data Analytics Engineer

82 000 - 92 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Marketing Data Analytics Engineer (Salesforce/Marketo/SQL): Building and maintaining data pipelines and automated reporting workflows that connect CRM, marketing automation, and warehouse data for marketing-sourced pipeline reporting with an accent on campaign attribution, data quality, and reusable analytics datasets. Focus on designing integrations, optimizing SQL across large relational datasets, applying AI-assisted analytics tools, and documenting data models for self-serve reporting.

Location: Remote or Mississauga, Canada. Remote roles require travel to the Mississauga and/or Salt Lake City offices for onboarding, team events, and semi-annual or annual meetings.

Salary: CAD 82,000–92,000 per year, plus bonus and benefits.

Company

hirify.global is a privately held health technology company providing a cloud platform, healthcare data, and integrated solutions for more than 30,000 provider organizations.

What you will do

  • Design, build, and maintain data pipelines connecting Salesforce, Marketo, and data warehouses such as BigQuery.
  • Automate recurring campaign reporting workflows and develop reusable datasets, views, and queries for dashboards and executive reporting.
  • Improve campaign attribution logic, including campaign codes, UTM data, campaign members, and lead-to-opportunity linkage.
  • Monitor, troubleshoot, and improve data quality across marketing systems and downstream reporting tables.
  • Apply AI tools such as Claude to accelerate data exploration, documentation, and query development while maintaining reporting accuracy.
  • Support Salesforce and Marketo configuration and document data models, metric definitions, and processes.

Requirements

  • Bachelor’s degree completed or in progress in Software Engineering, Computer Science, Data Engineering, or a related technical field.
  • 0–2 years of applicable experience; new graduates are encouraged to apply.
  • Strong SQL skills, including joins, aggregations, and window functions against large relational datasets.
  • Working knowledge of a programming language such as Python for scripting, automation, or ETL.
  • Understanding of relational data models and CRM or marketing-automation data structures.
  • Analytical, detail-oriented approach with an interest in automating repetitive work and learning new tools.

Nice to have

  • Experience with Salesforce, Marketo, cloud data warehouses, or BI tools such as Power BI, Looker, or Tableau.
  • Exposure to ETL/ELT tools, APIs, workflow orchestration, dbt, Airflow, or Fivetran.
  • Familiarity with AI-assisted development, marketing funnel metrics, B2B demand generation, or revenue operations.
  • Co-op, internship, or project experience in data engineering or analytics engineering.

Culture & Benefits

  • Flexible remote work with required travel for specified in-office events.
  • Benefits start from day one.
  • Retirement plan matching, flexible paid time off, and wellness support programs.
  • Parental and caregiver leave, fertility and adoption support, and employee assistance programs.
  • Continuous development support, recognition programs, and inclusion communities.

Hiring process

  • Applications may be supported by AI tools for screening and assessment.
  • Final hiring decisions are made by people following the formal interview and selection process.

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