Analytics Engineer

Position Overview We are seeking a Senior Analytics Engineer to design, build, and maintain scalable data infrastructure that powers analytics, experimentation, and performance measurement across the organization. The ideal candidate will have hands-on experience with Databricks, AWS Redshift, and modern data modeling and pipeline development practices to enable high-quality insights for business and data science teams. You will collaborate with cross-functional teams to ensure data is accurate, accessible, and structured for decision-making, supporting key initiatives around attribution modeling, causal analysis, and measurement frameworks. Must-Have Skills • Databricks (Spark-based data processing and pipeline orchestration) • AWS Redshift (data warehousing and performance tuning) • Strong SQL (advanced querying, data transformations) • Python (data engineering, ETL scripting) • Data Modeling (Star/Snowflake schema, semantic layer design) • ETL/ELT Pipeline Development (end-to-end design, build, and automation) • Data Quality & Validation Frameworks (ensuring reliable and accurate data) • Collaboration with Data Science & Business Teams (to align data models with analytics needs) • Experience with Experimentation / Attribution Data (A/B testing, causal inference, or measurement frameworks)