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Senior Data Developer
- Westmount, QC, Canada
This opening has closed.
The original listing is kept below for reference.
Job details
- Experience
- 4+ years of experience in data developering or analytics engineering
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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 will own the technical backbone of the platform, including dbt transformation models and the Looker semantic layer. They will collaborate with integration engineers and business stakeholders to ensure reliable data architecture and standardized KPI definitions.
Requirements
Candidates must have 4+ years of experience in data development or analytics engineering with deep expertise in dbt and Looker. Strong SQL skills and experience with modern cloud data warehouses are required, along with the ability to work independently in an early-stage environment.
Skills
- Dbt
- Looker
- LookML
- SQL
- Data modeling
- Analytics engineering
- Data warehousing
- BigQuery
- Snowflake
- Redshift
- Postgres
- KPI definition
- Data governance
- Revenue recognition
- Data quality
Benefits
- Group insurance
- Paid time off
- Holidays
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Software
- Technology
- Engineering
Keywords
- Dbt
- Looker
- LookML
- SQL
- Data modeling
- Analytics engineering
- BigQuery
- Snowflake
- Redshift
- Postgres
- KPI
- Data governance
- Revenue recognition
- Data architecture
- Cloud data warehouse
- Aesthetics industry
- CRM
- Payroll systems
- Data quality
- Integration engineering