Senior Analytics Engineer

Role Overview

• Design and implement robust dimensional and relational data models that support analytical use cases across Product, Marketing, Operations, and Finance.
• Build and maintain scalable dbt transformation pipelines, ensuring high data quality, performance, and cost-efficiency from raw ingestion to business-ready outputs.
• Own the transformation and modeling of curated (Silver/Gold) datasets, ensuring clear contracts and traceability from raw to business-ready data.
• Collaborate with data analysts, product analytics, data scientists, and business stakeholders to translate requirements into durable data products that support experimentation, A/B testing, and advanced analytics.
• Implement data quality tests, monitoring, SLAs, and alerting to ensure reliability of critical analytical datasets.
• Partner with Data Engineers to define and enforce data contracts, ensuring schema stability and minimizing downstream breakage.
• Establish and evangelize analytics engineering best practices, including version control, code review, testing standards, and documentation.
• Empower self-service analytics by building intuitive, well-documented data marts and semantic layers.

Requirements

• Minimum 5+ years of experience in analytics engineering, data modeling, or similar roles working with enterprise-scale data, and demonstrated ownership of data products and cross-functional collaboration.
• Expert-level SQL skills with deep understanding of query optimization and performance tuning.
• Extensive experience with dbt (data build tool) including testing, documentation, and package management.
• Strong programming skills in Python for data manipulation, automation, and custom analytics workflows.
• Strong understanding of dimensional modeling, star schemas, one big table, and other data modeling methodologies.
• Experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks SQL Warehouse).
• Familiarity with orchestration frameworks and how analytics transformations are scheduled within broader data workflows.
• Experience working with version control systems (Git) and implementing CI/CD for analytics code.
• Strong business acumen and ability to translate business requirements into well-designed data models.
• Understanding of data governance, privacy, and compliance requirements (GDPR, CCPA, and SOX).
• Familiarity with BI tools (Tableau, Looker, Mode, or similar) and how analysts consume data.
• Strong ownership mindset with a passion for deeply understanding ambiguous business problems and translating them into clean, maintainable, and well-tested data models.
• Excellent communication skills with ability to explain technical concepts to both technical and non-technical audiences.
• Dedication to data quality, documentation, and empowering others through self-service analytics.
• Bachelor’s Degree in a technical field, or equivalent experience.

Tech Stack

• Amazon Redshift
• BigQuery
• Cloud
• Python
• SQL
• Tableau

Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Employee Assistance Program (EAP) for mental wellness.
• Flexible PTO and 12 company wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.