Senior Analytics Engineer

Role Description

Digible is looking for a Senior Analytics Engineer to join our team!

Our Data team owns the platform and analytics that power Fiona and the decisions made across Digible — from ingestion, through a governed semantic layer, to the BI our ~1,000 multifamily clients and internal teams rely on. The team sits within a ~20-person technology department and partners closely with Product, Engineering, and business stakeholders.

This is a deeply hands-on role at the center of our data warehouse strategy. You'll own the Silver and Gold layers of our medallion architecture, build and govern the semantic layer that gives every metric a single, authoritative definition, and shape the BI tooling and standards our stakeholders rely on every day.

Where our Data Engineers own ingestion and the Bronze layer, you own the path from modeled data to decisions — making our numbers consistent, our warehouse fast and cost-efficient, and our analytics self-serve.

You'll report to the Director of Data, partner with Data Engineering on the Bronze-to-Silver handoff, and work with analysts and business stakeholders to translate their questions into trustworthy models and metrics.

If you live in SQL and dbt, care deeply about metric integrity and warehouse performance, leverage AI to accelerate your work, and believe data quality is a product — we'd love to meet you.

Qualifications

• 5-7+ years of data/analytics engineering experience, including at least 2 years in a senior capacity
• Expert proficiency with SQL and data modeling tools (dbt, dataform, SQLMesh) for modeling, testing, documentation and macros
• Strong command of dimensional modeling and medallion/layered architectures
• Hands-on depth with at least one cloud data warehouse (Snowflake and/or BigQuery), including performance and cost optimization
• Experience with a semantic / metrics layer (e.g., dbt Semantic Layer / MetricFlow, Cube, LookML, or similar)
• Proficiency with one or more modern BI tools (e.g., Hex, Sigma, Omni, Tableau, Looker, Metabase, Lightdash)
• Working proficiency with Python for transformation, tooling, and automation
• Strong proficiency with Git and version control practices
• Demonstrated fluency with AI-assisted development tools in your engineering workflow
• Experience working with modestly-sized, fast-paced teams
• Strong communication skills and the ability to partner across engineering, product, and business stakeholders
• Working knowledge of iterative, value-focused technical delivery

Requirements

• Embrace Digible's core values: authenticity, curiosity, focus, humility, and happiness
• Enjoy writing production-grade SQL and dbt models, and think in terms of clean, layered, well-tested transformations
• Have experience across the modern data stack (we use dbt, Snowflake, Fivetran, Prefect) and an opinion on where it should go next
• Believe a metric should be defined once and trusted everywhere — and get satisfaction from killing metric drift and duplicate definitions
• Care about warehouse performance and cost as a first-class concern, not an afterthought
• Enjoy turning ambiguous stakeholder questions into governed, reusable data products and self-serve BI
• Use AI tools as a natural part of your engineering workflow — you see AI as an accelerator for how you build, debug, and deliver
• Have an insatiable appetite for learning and always want to be working on your craft
• Approach challenges with a customer-first mentality and curiosity
• Thrive in ambiguity, leaning on resourcefulness and customer understanding in an open and empathetic culture
• Are excited to contribute to team growth through pairing and shared learning

Benefits

• Salary Range: $140,000 to $160,000
• 4-Day Work Week (32-Hour Work Week)
• US Remote — Work From Anywhere
• Profit Sharing Bonus
• 3 weeks PTO + Sick Leave + Bereavement
• 11 paid holidays (not counting ones that fall on a Friday)
• 401(k) + Match
• 75% Employer-Paid Health Benefits (Medical, Dental, Vision)
• Mental and Physical Wellness Reimbursement ($75/mo each)
• $1,000/year travel fund (after 3+ years)
• Paid Parental Leave
• Dog-Friendly Office
• Monthly Social Events
• Weekly lunches and snacks for in-office employees