Data Analytics Engineer

About Ruby Labs

Ruby Labs is a leading tech company creating and operating innovative consumer products across health, education, and entertainment industries. Our teams drive the future of consumer-led products, and we're seeking passionate professionals to join us.

About the Role

We are hiring a Data Analytics Engineer to build, optimize, and maintain the analytical data layer powering organizational decision-making. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role bridges raw data ingestion and analytics—shaping how data is structured, validated, and delivered to stakeholders.

Key Responsibilities

• Design, build, and maintain dbt models (staging, core, marts) aligned with business needs
• Develop scalable SQL transformations with efficient, cost-effective query performance
• Implement data quality tests (dbt tests, custom checks, anomaly detection) to ensure high reliability
• Create and maintain comprehensive documentation for datasets, data lineage, business logic, and transformation rules
• Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness
• Partner with Data Analysts, Product Managers, and Marketing teams to translate requirements into clean, reusable data models
• Monitor data pipelines and marts, resolve issues, and prevent reporting inconsistencies
• Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization
• Contribute to continuous improvement of data modeling frameworks, performance tuning, and technical decision-making

Requirements

• Strong SQL expertise with deep understanding of analytical modeling concepts
• Hands-on experience with dbt (models, tests, docs, macros)
• Experience with cloud data warehouses such as BigQuery or ClickHouse
• Demonstrated understanding of data modeling patterns
• Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD)
• Experience with data quality frameworks or implementation

This is an editorial market estimate based on comparable remote Data Analytics Engineer roles. Actual compensation varies by experience, qualifications, and location.