Remote opportunity at
American Healthtech, a PointClickCare CompanyMarketing Data Analytics Engineer (US)
PointClickCare is a health technology company whose platform serves more than 30,000 provider organizations, with a marketplace of over 400 integration partners. This remote Marketing Data…
Career Tools
About This Role
PointClickCare is a health technology company whose platform serves more than 30,000 provider organizations, with a marketplace of over 400 integration partners. This remote Marketing Data Analytics Engineer role sits within the company's Marketing organization and focuses on the data plumbing that supports marketing analytics and pipeline reports. This is a hands-on, backend-oriented job. The engineer builds and keeps up pipelines linking Salesforce, Marketo and a cloud warehouse such as…
Job Description
PointClickCare is a health technology company whose platform serves more than 30,000 provider organizations, with a marketplace of over 400 integration partners. This remote Marketing Data Analytics Engineer role sits within the company's Marketing organization and focuses on the data plumbing that supports marketing analytics and pipeline reports.
This is a hands-on, backend-oriented job. The engineer builds and keeps up pipelines linking Salesforce, Marketo and a cloud warehouse such as BigQuery, and automates recurring campaign reports by writing optimized SQL for reusable datasets, views and dashboards. Other duties include improving campaign attribution (campaign codes, UTM data and lead-to-opportunity links), monitoring data quality, supporting Salesforce and Marketo configuration, and documenting data models so marketers can self-serve. The posting also expects the engineer to use AI assistants such as Claude to speed up data exploration and query writing without compromising production accuracy. The work supports executive reporting on marketing-sourced pipeline for the Senior Care and Acute and Payer businesses, working hand in hand with the analytics, demand generation and marketing ops teams.
Candidates should hold a bachelor's degree, finished or due this year, in software development, computer science, data engineering or closely related technical fields. Zero to two years of relevant experience is requested. Strong SQL, including joins, aggregations and window functions, plus working knowledge of a data programming language such as Python, is required. Experience with Salesforce or Marketo, cloud warehouses, BI tools and ETL or workflow tools is preferred. The US base salary range is $87,000 to $97,000 per year, plus bonus and benefits, and the role is classified as non-overtime eligible.
Responsibilities
- Build and maintain pipelines connecting Salesforce and Marketo to the warehouse
- Automate recurring campaign reporting and write optimized SQL for reusable datasets, views and queries
- Refine campaign attribution logic and monitor data quality in Marketo, Salesforce and downstream report tables
- Use AI assistants to speed up exploring data, writing docs and building queries while keeping production reports accurate
- Assist with Salesforce and Marketo administration, including fields, objects, sync rules and campaign structures
- Document data models and definitions so metrics stay consistent
Requirements
- Bachelor's degree, finished or due this year, in a technical field
- Zero to two years of relevant experience; recent graduates are encouraged to apply
- Strong SQL with joins, aggregations and window functions on large relational datasets
- Working knowledge of a language used in data work, like Python, for scripting and ETL
- Understanding of how CRM and marketing automation records are structured
- Analytical and meticulous, and inclined to automate repetitive work
- Curiosity and eagerness to learn new tools and business context
Qualifications
- Hands-on work with Salesforce (SOQL, reports, campaign objects) or Marketo program and field-sync work
- Cloud warehouse experience with BigQuery, Snowflake or Redshift
- BI experience with Power BI, Looker or Tableau
- Familiarity with AI-assisted analytics platforms such as Claude
- Exposure to dbt, Airflow, Fivetran or similar ETL and orchestration tools
- Familiarity with funnel metrics such as MQLs, opportunities and pipeline, or B2B demand generation
- Co-op, internship or project work in data, analytics engineering or revenue operations
Core Skills
Benefits
- Benefits begin on day one
- Retirement plan with matching contributions
- Flexible paid time off
- Wellness programs and support resources
- Parental and caregiver leave, plus fertility and adoption support
- Continuous development program and employee assistance program
- Allyship and inclusion communities plus employee recognition
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this role remote?
Yes, though remote staff are expected at in-office events at the company's offices in Mississauga or Salt Lake City, such as onboarding, team events and semi-annual or annual meetings.
What is the salary?
The US base salary range is $87,000 to $97,000 per year, plus bonus and benefits. The role is classified as non-overtime eligible.
What experience is needed?
Zero to two years of relevant experience is requested, and recent graduates are invited to apply.
What degree is required?
A bachelor's degree, finished or due this year, in software development, computer science, data engineering or closely related fields is needed.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.