
Analytics Engineer
LMArena
full-time
Posted on:
Location Type: Hybrid
Location: Bay Area • California • United States
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About the role
- Own the design and implementation of analytics-ready data models, schemas, and tables in our data warehouse
- Build and maintain reliable data pipelines (batch and incremental) that transform raw event and vote data into standardized, trusted datasets
- Define and standardize core metrics used across product, research, and customer-facing evaluations
- Partner with product managers and researchers to translate evaluation questions into robust data models
- Develop and maintain dashboards, reports, and data artifacts used by internal teams and external partners
- Ensure data quality through testing, validation, monitoring, and documentation
- Orchestrate and schedule data workflows using Airflow or equivalent tools
- Optimize queries and pipelines to support large-scale analytical workloads
- Contribute to improving data discoverability, lineage, and documentation across the warehouse
Requirements
- 3+ years of experience in analytics engineering, data engineering, or a closely related role
- Strong proficiency in SQL, with experience designing analytics-friendly schemas and transformations
- Hands-on experience working with a modern data warehouse (e.g., Databricks, Snowflake, BigQuery)
- Experience building and orchestrating data pipelines using Airflow or similar workflow orchestration tools
- Proficiency in Python for data transformation, validation, and pipeline development
- A strong understanding of data modeling best practices (e.g., dimensional modeling, metrics layers)
- Experience operating and debugging production data pipelines with a focus on correctness and reliability
Benefits
- Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
- The opportunity to work on cutting-edge AI with a small, mission-driven team
- A culture that values transparency, trust, and community impact
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata modelingdata transformationdata validationdata pipeline developmentanalytics-friendly schemasdimensional modelingmetrics layersdata quality testing