Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the strategy and performance of the data warehouse, focusing on modeling standards, materialization strategies, query performance, and optimizing both speed and costs.

• Oversee the Silver and Gold-layer modeling in dbt, ensuring models are clean, documented, tested, and well-governed.

• Merge redundant pre-materialized views, address metric drift, and rectify non-additive measures that may lead to inaccurate re-aggregation.

• Develop and manage the semantic layer as a definitive source for metric definitions.

• Direct the BI tooling strategy and facilitate standardization of the BI stack, empowering reliable self-service analytics.

• Collaborate with stakeholders and analysts to convert business inquiries into sustainable models and metrics.

• Set best practices, governance standards, and tools for upstream domain teams.

• Diagnose data quality and consistency challenges, driving root-cause analysis and implementing long-term solutions.

• Play a role in the evolution of the platform by optimizing, refactoring, and scaling analytics infrastructure.

• Report to the Director of Data and work closely with Data Engineering, Product, Engineering, analysts, and business stakeholders.

• Provide governed metrics, efficient Silver and Gold models, and standardized BI that minimize ad-hoc data pulls and metric conflicts.

⛳️ Requirements

• 5-7+ years of experience in data or analytics engineering, with a minimum of 2 years in a senior role.

• Advanced proficiency in SQL and data modeling tools such as dbt, Dataform, or SQLMesh.

• Strong understanding of dimensional modeling and medallion/layered architectures.

• Practical experience with at least one cloud data warehouse, such as Snowflake and/or BigQuery.

• Familiarity with performance optimization and cost reduction in data warehouses.

• Experience with semantic or metrics layers, including dbt Semantic Layer/MetricFlow, Cube, or LookML.

• Proven ability to standardize and govern metric definitions.

• Proficiency in modern BI tools like Hex, Sigma, Omni, Tableau, Looker, Metabase, or Lightdash.

• Working knowledge of Python for transformation, tooling, and automation tasks.

• Strong skills in Git and version control practices.

• Demonstrated experience with AI-assisted development tools.

• Experience in fast-paced, moderately sized teams.

• Excellent communication skills and ability to collaborate with engineering, product, and business stakeholders.

• Familiarity with iterative, value-driven technical delivery.

• Candidates must reside within the United States.

• Must be able to sit for extended periods at a desk and work on a computer.

• Ability to lift up to 15 pounds occasionally.

• Professional references may be required during the hiring process.

🏝️ 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 (excluding those 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