Senior Analytics Engineer

Job Description

Mammoth Growth is seeking a Senior Analytics Engineer / Jr. Tech Lead to focus on building complex data infrastructure using dbt, Snowflake, and modern ELT tools. The ideal candidate will provide technical guidance and expertise, design scalable data pipelines, implement governance frameworks, and leverage AI tools to optimize development workflows. This position requires hands-on technical work combined with code review responsibilities and team guidance.Responsibilities:

• Build complex data models using dbt with optimal performance and maintainability
• Design and optimize Snowflake data pipelines leveraging advanced features for scalability
• Configure database environments, manage permissions, access control, and implement data governance frameworks
• Implement ELT processes using modern data stack tools such as Fivetran
• Write high-quality code following Git workflows, code reviews, and CI/CD practices
• Conduct data quality audits and implement automated testing frameworks
• Leverage AI tools (Claude, ChatGPT) to enhance development productivity and solution quality
• Apply prompt engineering and implement agentic workflows using MCPs
• Mentor Analytics Engineers I and II, providing technical guidance and code reviews
• Collaborate with Technical Leads and Sr. Consultants on complex project decomposition and execution
• Present technical solutions and audit findings to clients
• Independently manage project components while coordinating with cross-functional teams
• Support project planning with technical expertise and risk assessment

Requirements:

• 5-7+ years of analytics engineering or data engineering experience
• Advanced dbt proficiency with complex modeling, macros, and performance optimization
• Deep Snowflake expertise including architecture, optimization, and advanced features
• Hands-on experience with Fivetran and modern data stack ecosystem
• Proficient in Git/GitHub workflows, branching strategies, and collaborative development
• Advanced SQL skills with query optimization and performance troubleshooting
• Understanding of dimensional modeling and analytics engineering methodologies
• Experience with cloud environments and scalable solutions in AWS and/or GCP
• Familiarity with project management tools like Jira
• Demonstrated experience with Claude, ChatGPT, and other LLM platforms
• Familiarity with agentic tools such as CoPilot, RooCode, and others
• Prompt engineering skills for code generation, documentation, and problem-solving
• Strong interest or direct experience in agentic workflows and Model Context Protocols (MCP)
• Excellent communication skills for technical and business stakeholders
• Experience mentoring junior team members
• Self-motivated with ability to work independently and collaboratively

Benefits:

• Rapid career advancement
• Exposure to a huge range of business challenges
• Amazing clients
• Competitive compensation
• 100% Remote work environment