Mammoth Growth is a modern data analytics consultancy. We use our unique combination of agnostic tools expertise and data-driven decision making to help our clients grow and thrive in an ever-changing marketplace. We are world-class business consultants who optimize systems to deliver measurable business outcomes. We have completed 850+ engagements with clients in all areas - e-commerce, SaaS, media, D2C, B2B - from start-ups to enterprise. Mammoth is trusted by industry leaders from Dropbox to Calendly to verify their data, manage their reporting infrastructure, develop growth strategy and provide recommendations and insights that achieve measurable results.
At Mammoth Growth, the Senior Analytics Engineer / Jr. Tech Lead focuses on building complex data infrastructure using dbt, Snowflake, and modern ELT tools while providing technical guidance and expertise. You'll design scalable data pipelines, implement governance frameworks, and leverage AI tools to optimize development workflows. The position requires hands-on technical work combined with code review responsibilities and team guidance.
What You'll Do
- 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
What You'll Bring
Technical Skills
- 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
AI & Innovation Skills
- 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)
- Ability to integrate AI tools into technical workflows
Professional Skills
- 5-7+ years of analytics engineering or data engineering experience
- Strong problem-solving abilities with complex technical challenges
- Excellent communication skills for technical and business stakeholders
- Experience mentoring junior team members
- Self-motivated with ability to work independently and collaboratively
We love working with people who like to laugh, smile and joke around.
We provide rapid career advancement, exposure to a huge range of business challenges, amazing clients and competitive compensation.
We are 100% Remote. Our team is fully distributed (before Covid and forever), allowing you the flexibility of working from home. At this time, we are unable to provide sponsorship. Must be a resident or green card holder of the U.S.,U.K. or Canada.
So, what are you waiting for?
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