Senior Analytics Engineer - Remote, 4-Day Week, Metrics

Digible, Inc

Englewood (CO)

On-site

USD 140,000 - 160,000

Full time

14 days+
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Benefits offered by this job

4-Day Work Week
US Remote
Profit Sharing Bonus
3 weeks PTO + Sick Leave + Bereavement
401(k) + Match
Health benefits
Parental Leave
Dog-Friendly Office

Job summary

Digible, Inc. is seeking a Senior Analytics Engineer to own the Silver and Gold layers of our medallion architecture, build a governed semantic layer, and shape BI tooling standards.

You will translate stakeholder questions into trustworthy models, ensuring metric integrity and scalable analytics across ~1,000 clients. You will collaborate with Data Engineering and analytics teams, writing production-grade SQL and dbt, optimizing warehouse performance, and leveraging AI to accelerate delivery.

Qualifications

  • 5-7+ years of data/analytics engineering experience, including at least 2 years in a senior capacity.
  • Expert SQL and data modeling skills using dbt, dataform, SQLMesh for modeling and testing.
  • Hands-on experience with Snowflake or BigQuery cloud data warehouses.
  • Experience with semantic/metrics layers and metric governance.
  • Proficiency with BI tools (Hex, Sigma, Tableau, Looker) and Python for automation.
  • Git version control and collaboration in fast-paced teams.
  • Familiarity with AI-assisted development tools and data warehouse optimization.
  • Strong communication and cross-functional partnership with engineering, product, analytics.

Responsibilities

  • Drive data warehouse strategy, modeling standards, and performance tuning.
  • Own Silver/Gold layer modeling in dbt and reduce metric drift.
  • Build and govern the semantic layer for a single source of truth.
  • Lead BI tooling strategy and enable trusted self-serve analytics.
  • Partner with stakeholders to translate questions into durable models.
  • Troubleshoot data quality issues and optimize transformation layers.
  • Contribute to platform evolution and scale analytics infrastructure.

Skills

SQL
Data modeling
Python
AI-assisted development
Git
Data governance

Tools

dbt
Snowflake
BigQuery
Looker/Tableau
Hex/Sigma/Omni

Job description

Digible, Inc. is seeking a Senior Analytics Engineer to own the Silver and Gold layers of our medallion architecture, build a governed semantic layer, and shape BI tooling standards.

You will translate stakeholder questions into trustworthy models, ensuring metric integrity and scalable analytics across ~1,000 clients. You will collaborate with Data Engineering and analytics teams, writing production-grade SQL and dbt, optimizing warehouse performance, and leveraging AI to accelerate delivery.

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