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Senior Analytics Engineer

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 5-8 years

💸 Salary: 150000.0 - 170000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Mantra Health👥 51-100💰 $5,000,000 Series A about 2 years agoMental HealthMedicalWellnessHealth Care

🗣️ Languages: English

⏳ Experience: 5-8 years

Requirements:
  • 5-8 years of dedicated experience building and managing data pipelines, warehouses, and analytics solutions, with a proven track record in cloud environments (Snowflake strongly preferred) and startups.
  • Deep SQL proficiency, strong Python skills for data tasks, mastery of DBT (Cloud or Core) development and best practices, and significant experience enabling analytics with BI tools (Looker preferred).
  • Proficient in data modeling techniques (e.g., dimensional modeling, normalization) and can translate complex business requirements into effective, scalable data warehouse structures.
  • Meticulous attention to detail, take pride in data integrity, and understand the importance of robust processes, testing, and security, ideally with experience in regulated data environments (HIPAA/FERPA/SOC2).
Responsibilities:
  • Design, implement, monitor, and maintain scalable and reliable ELT pipelines using modern tooling, ingesting data from diverse sources including APIs, flat files, and databases like PostgreSQL.
  • Architect, develop, and refine robust data models within Snowflake (staging, unified models, data marts) using DBT, optimizing for analytical performance, clarity, and reusability.
  • Proactively partner with Product, Clinical, and other stakeholders to translate ambiguous business problems into analytical questions; conduct exploratory analysis to uncover insights; build and communicate compelling data narratives to drive decisions.
  • Implement rigorous data quality testing (e.g., DBT tests), monitoring, and validation; drive SDLC best practices (version control via Git, CI/CD via GitHub Actions/CircleCI) for all analytics code; ensure all data processes adhere to strict security and compliance standards (HIPAA/FERPA/SOC2); maintain clear documentation.
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