Senior Analytics Engineer
Digible
WorldwideFully remoteFull TimeSeniorInformation Technology
USD 140,000–160,000 a yearPosted 2 months ago2mo agoApply link checked 6 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 2 months ago · apply link checked 6 hours ago
About the role
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
What we look for
- 5-7+ years data engineering experience
- Expert SQL proficiency
- dbt or similar modeling tools
- Snowflake or BigQuery experience
- Python proficiency
- Semantic layer experience
- BI tool proficiency
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Digible
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NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
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