Note: The job is a remote job and is open to candidates in USA. Digible is a digital marketing company serving the multifamily industry with digital services and predictive analytics solutions. The Senior Analytics Engineer will own Silver- and Gold-layer data warehouse modeling, govern the semantic layer, shape BI standards, and improve data quality, warehouse performance, and self-service analytics.
Responsibilities
- **Drive data warehouse strategy and performance** — shape our modeling standards, materialization strategy, and query performance; tune for both speed and cost; and help evaluate and execute the direction of our warehouse (Snowflake today, with alternatives under active consideration)
- **Own Silver- and Gold-layer modeling in dbt** — build clean, documented, tested, and governed models, and lead the effort to consolidate redundant pre-materialized views, resolve metric drift, and correct non-additive measures at risk of bad re-aggregation
- **Build and govern the semantic layer** — establish a single source of truth for metric definitions, eliminate divergent measure definitions across models, and keep definitions portable as our warehouse evolves
- **Lead BI tooling strategy and enablement** — standardize our BI stack, build governed data products, and enable trustworthy self-serve analytics
- **Partner with stakeholders and analysts** — translate business questions into durable models and metrics, and establish the best practices, governance standards, and tooling that let upstream teams own their domain data well without it becoming the wild west
- **Troubleshoot data quality and consistency issues** — drive toward root cause and long-term fixes across the transformation and consumption layers
- **Contribute to platform evolution** — identify opportunities to optimize, refactor, or scale our analytics infrastructure, and stay informed on developments in the modern data stack, introducing tools and processes that improve our workflows
Skills
- 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 and 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) and a track record of standardizing and governing metric definitions
- 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
- Prolonged periods sitting at a desk and working on a computer
- Must be able to lift up to 15 pounds at times
- This role is open to candidates located within the United States
- Familiarity with digital marketing data or the multifamily/real estate industry
- Experience leading or contributing to a data warehouse migration (e.g., Snowflake ↔ BigQuery)
- Experience operating a semantic layer or large dbt project at scale, including metric governance and drift remediation
- 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
- Discretionary 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
Company Overview