Senior Analytics Engineer

Digible

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

About the Company

Digible is a privately owned and operated digital marketing company founded in 2017 with a mission to bring cutting-edge solutions to the multifamily industry. We offer a full suite of digital services, alongside Fiona, our predictive analytics platform.

Responsibilities

  • Drive data warehouse strategy and performance, including modeling standards and query performance
  • Own Silver- and Gold-layer modeling in dbt to build clean, documented, and tested models
  • Build and govern the semantic layer to establish a single source of truth for metric definitions
  • Lead BI tooling strategy and enablement to standardize the stack and build governed data products
  • Partner with stakeholders and analysts to translate business questions into durable models
  • Troubleshoot data quality and consistency issues across transformation and consumption layers
  • Contribute to platform evolution by identifying opportunities to optimize or scale analytics infrastructure

Requirements

  • 5-7+ years of data/analytics engineering experience, including 2+ years in a senior capacity
  • Expert proficiency with SQL and data modeling tools like dbt, dataform, or SQLMesh
  • Strong command of dimensional modeling and medallion/layered architectures
  • Hands-on depth with cloud data warehouses such as Snowflake or BigQuery
  • Experience with a semantic/metrics layer (e.g., dbt Semantic Layer, Cube, or LookML)
  • Proficiency with modern BI tools (e.g., Hex, Sigma, Tableau, or Looker)
  • Working proficiency with Python for transformation and automation
  • Strong proficiency with Git and version control
  • Demonstrated fluency with AI-assisted development tools

Preferred Qualifications

  • Familiarity with digital marketing data or the multifamily/real estate industry
  • Experience leading or contributing to a data warehouse migration
  • Experience operating a semantic layer or large dbt project at scale
  • Experience with BI write-back, reverse ETL, or finance-focused analytics

Benefits

  • 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
  • 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

Skills & tools

SQLDBTSnowflake

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015-7+ years data engineering experience
  2. 02Expert SQL proficiency
  3. 03dbt or similar modeling tools
  4. 04Snowflake or BigQuery experience
  5. 05Python proficiency
  6. 06Semantic layer experience
  7. 07BI tool proficiency
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