Senior Data Developer
- Westmount, QC, Canada
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Job details
- Experience
- 4+ years of experience in data developering or analytics engineering
- Posting language
- English
Original job description
About The Data Co.:
The Data Co. (thedataco.com) is building the operating system for the aesthetics industry. Our platform consolidates data from multiple practice management systems, CRMs, ad platforms, and payroll systems into a unified analytics platform purpose-built for aesthetics operators. We sit above all source systems as the single source of truth for operator performance data, with standardized KPI definitions built alongside leading operators.
The Role:
We are looking for a Senior Data Developer who will own the technical backbone of our platform: our dbt transformation layer, our Looker semantic layer, and the integrations that feed them. This is a high-leverage IC role on a fast-moving team. You will report to our Engineering Lead and work closely with the CEO.
This is not a generalist data role. We need someone who is deep in dbt and Looker, comfortable with complex data modeling across a diverse ecosystem of clinical and business systems, and excited about building unified, reliable analytics in an industry that has never had them.
This is a remote-first role with travel to our Montreal headquarters approximately one week per quarter, or as needed.
What You Will Own:
- Design, build, and maintain our dbt transformation models across a multi-source data architecture spanning practice management, CRM, advertising, and payroll systems
- Own our Looker semantic layer: LookML development, Explores, dashboards, and data governance
- Work through the real-world complexity of multi-location healthcare services data: membership and package accounting, revenue recognition, and reconciliation across systems that were not designed to talk to each other
- Collaborate with our integration engineers to ensure clean, reliable data lands in the warehouse from a growing set of source systems
- Drive standardization of KPI definitions in partnership with operators and the product team, so every location and every system speaks the same language
What We're looking for:
Required
- 4+ years of experience in data developering or analytics engineering
- Deep, hands-on dbt expertise: complex models, incremental strategies, testing, documentation, macros
- Strong Looker / LookML experience: you have built and owned semantic layers, not just written queries in Looker
- Solid SQL and comfort working with large, complex, real-world datasets
- Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, or Postgres)
- Strong communication skills and comfort working directly with operators and business stakeholders to define and refine KPIs
Nice to have
- Healthcare, Aesthetics/MedSpa, or multi-location retail or services data experience
- Familiarity with event-stream architectures and treating source systems as event streams
- Python for data tooling or pipeline orchestration
- Experience building analytics products for operators or franchises with complex revenue models
Who You Are:
- You care deeply about data quality and get uncomfortable when definitions are ambiguous or inconsistent
- You are energized by ambiguity in an early-stage company, not paralyzed by it
- You can work independently, push things forward without a lot of hand-holding, and communicate proactively when you are blocked
- You want to be part of building something that matters in an industry you can actually see and touch
Salary
We offer a competitive salary based on experience and qualifications, plus benefits and performance incentives.
Benefits
Group insurance Paid time off and holidays
When Applying
Include a brief note about a data modeling challenge you are proud of solving. We read every application and we respond. No recruiters, please.
More about this job
Responsibilities
The Senior Data Developer at The Data Co. will build and maintain data models that combine information from many business systems. They will develop and own the Looker dashboards and data definitions that operators use, and work with operators to agree on common performance measures.
Requirements
Candidates need 4+ years of data development or analytics engineering experience, deep hands-on dbt and Looker/LookML skills, and strong SQL. They also need experience with a modern cloud data warehouse and clear communication with business stakeholders.
Skills
- dbt
- LookML
- Looker
- SQL
- Data modeling
- Incremental models
- dbt testing
- dbt macros
- BigQuery
- Snowflake
- Redshift
- PostgreSQL
- Data governance
- KPI standardization
- Data reconciliation
- Revenue recognition
- Python
- Pipeline orchestration
- Event-stream architecture
- Stakeholder communication
Benefits
- Group insurance
- Paid time off and holidays
Categories
- Software
- Technology
- Data & Analytics
- Healthcare
Keywords
- dbt
- Looker
- LookML
- SQL
- analytics engineering
- data modeling
- data warehouse
- BigQuery
- Snowflake
- Redshift
- Postgres
- semantic layer
- KPI definitions
- data governance
- ETL
- data pipelines
- Python
- healthcare analytics
- aesteticsl analytics
- MedSpa
Seniority
Senior
Perks
- Generous paid time off
Tools
- dbt
- Looker
- LookML
- BigQuery
- Snowflake
- Redshift
- Postgres
Languages
- English