Senior Analytics Developer
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Key skills for this role
About the Role
MaintainX seeks a Senior Analytics Developer to build the data foundation for product analytics, internal reporting, and AI-native workflows. The role involves building extensible data models with dbt and Databricks, implementing data quality checks, and enabling self-serve analytics.
Key Skills for This Role
Responsibilities
- Build extensible data models that support product analytics, internal reporting, and AI native workflows at scale
- Implement data quality checks, validation rules, and governance policies
- Develop and evangelize analytics engineering tooling for stakeholder self service
- Monitor and optimize transformation pipelines and storage for performance, scalability, and cost efficiency
- Create and maintain comprehensive documentation for discoverable and usable datasets
Requirements
- 4+ years as an analytics engineer building and orchestrating pipelines using dbt and data lakehouse technologies (Databricks or similar)
- Deep knowledge of dbt, data modeling, and BI best practices
- Strong business and product acumen; ability to turn non technical requirements into self serve solutions
- Hands on experience with software development fundamentals: environment segregation, version control, separation of concerns, release management
- Track record of technical mentoring and raising output of others
Full Job Posting
About MaintainX
- MaintainX is the world's leading AI powered maintenance and asset management platform, serving 13,000+ customers.
- Raised $150M in Series D, named to Forbes 2025 Cloud 100.
The Role
- Build the data foundation that enables every team to trust and use data independently.
- Hands on analytics engineering role focusing on quality, scalability, and self serve access.
What you'll do
- Build extensible data models for product analytics, internal reporting, and AI native workflows.
- Implement data quality checks, validation rules, and governance policies.
- Develop and evangelize analytics engineering tooling for stakeholder self service.
- Monitor and optimize transformation pipelines and storage.
- Create and maintain comprehensive documentation.
About You Must haves
- 4+ years as an analytics engineer using dbt and data lakehouse technologies (Databricks or similar).
- Deep knowledge of dbt, data modeling, and BI best practices.
- Strong business and product acumen.
- Hands on experience with software development fundamentals.
- Track record of technical mentoring.
Nice to haves
- Experience with AI augmented analytics engineering workflows.
- Experience applying analytics engineering to governance and compliance frameworks.
We Offer
- Competitive base + equity in post Series D company at $2.5B valuation.
- Day 1 health, dental, and vision coverage.
- Unlimited PTO.
- $500 home office stipend, $1K annual L&D budget.
- Hybrid hubs in Montreal, Raleigh, Miami, San Francisco (or fully remote per role).
How We Work
- Meritocracy: output wins.
- Values: Smart, Humble, Optimists.
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