Senior Analytics Developer

MaintainX

$90K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in analytics engineering with dbt and data lakehouse technologies (e.g., Databricks)
  • Expertise in data modeling and BI best practices
  • Ability to translate non-technical analytics requirements into user-friendly solutions
  • Experience with software development best practices, including version control
  • History of mentoring and enhancing team productivity, including non-technical colleagues

Responsibilities

  • Build data models that support product analytics and reporting
  • Implement data quality checks and governance policies
  • Develop analytics tools for stakeholder self-service
  • Monitor and optimize data pipelines for performance and cost
  • Create documentation for easy dataset accessibility

Benefits

  • Competitive base salary and equity in a post-Series D company
  • Comprehensive health, dental, and vision coverage starting on Day 1
  • Unlimited PTO policy with a culture that encourages time off
  • Home office stipend and annual budget for learning and development
  • Remote work options or hybrid locations in key cities
Full Job Description
The Role

You'll build the data foundation that enables every team at MaintainX - from product to operations to AI - to trust and use our data independently. This is a hands-on analytics engineering role where quality, scalability, and self-serve access are the actual deliverables.
  • 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 that keep our data accurate and compliant
  • Develop and evangelize analytics engineering tooling that enables stakeholders to build their own models while adhering to best practices
  • Monitor and optimize transformation pipelines and storage for performance, scalability, and cost efficiency
  • Create and maintain comprehensive documentation so datasets are discoverable and usable without hand-holding

You'll work closely with engineers, product managers, and business teams across the org. Success at 6-12 months looks like: stakeholders building self-serve confidently, pipelines running cleanly, and the data team spending less time answering "where does this number come from?"

About You

Must-haves:
  • 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 - you have a point of view and defend it
  • Strong business and product acumen; you can take an analytics requirement from a non-technical stakeholder and turn it into a self-serve solution
  • Hands-on experience applying software development fundamentals: environment segregation, version control, separation of concerns, release management
  • Track record of technical mentoring and raising the output of the people around you - including non-technical partners

Nice-to-haves:
  • Experience with AI-augmented analytics engineering workflows
  • Experience applying analytics engineering to governance and compliance frameworks (anonymization, pseudonymization, data masking)

We Offer
  • Competitive base + equity in a post-Series D company at $2.5B valuation
  • Day-1 health, dental, and vision coverage (Canada Life for Canada; TriNet/BCBS for US)
  • Unlimited PTO - we actually take it
  • $500 home office stipend • $1K annual L&D budget
  • Hybrid hubs in Montreal, Raleigh, Miami, and San Francisco (or fully remote per role)

How We Work

We're an unapologetic meritocracy. Output wins. We hire for what you've shipped, not what your title was - show us your spike. We promote quickly and have honest conversations early. MaintainX values: Smart, Humble, Optimists.

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