Marketing Data Analytics Engineer (US) (AI)

Location: Remote within the United States; occasional travel to the Mississauga and/or Salt Lake City offices is required for onboarding, team events, and semi-annual or annual meetings.

Salary: $87,000–$97,000 per year base salary, plus bonus and benefits.

Company

hirify.global is a founder-led health technology company providing a healthcare platform for more than 30,000 provider organizations, supported by a large long-term and post-acute care dataset and an ecosystem of integrated partners.

What you will do

• Design, build, and maintain data pipelines connecting Salesforce, Marketo, and cloud data warehouses such as BigQuery.
• Automate campaign reporting workflows and develop reusable SQL datasets, views, and queries for dashboards and executive reporting.
• Improve campaign attribution using campaign codes, UTM data, campaign members, and lead-to-opportunity relationships.
• Monitor and troubleshoot data quality across marketing systems and reporting tables.
• Use AI tools such as Claude for data exploration, documentation, and query development while maintaining production 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 on large relational datasets.
• Working knowledge of Python or another programming language used for data scripting, automation, or ETL.
• Understanding of relational data models and CRM or marketing-automation structures, including leads, contacts, accounts, campaigns, and opportunities.
• Must be based in the United States; occasional travel to designated offices is required.

Nice to have

• Experience with Salesforce, Marketo, cloud data warehouses, BI tools, ETL/ELT tooling, APIs, or workflow orchestration.
• Familiarity with AI-assisted development tools, marketing funnel metrics, or B2B demand generation.
• Co-op, internship, or project experience in data engineering, analytics engineering, or revenue operations.

Culture & Benefits

• Flexible remote work with periodic in-office events and travel.
• Benefits begin on the first day.
• Retirement plan matching, flexible paid time off, and wellness support programs.
• Parental and caregiver leave, fertility and adoption support, and employee assistance resources.
• Continuous development support, inclusion communities, and employee recognition programs.

Hiring process

• Applications may be supported by AI-assisted screening and assessment tools.
• Final hiring decisions are made by people following the recruitment process.