Mammoth Growth Logo

Mammoth Growth

Senior Analytics Engineer

Reposted 7 Days Ago
Easy Apply
Remote
Hiring Remotely in USA
Senior level
Easy Apply
Remote
Hiring Remotely in USA
Senior level
The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.
The summary above was generated by AI

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?

Top Skills

AWS
Dbt
Fivetran
GCP
Git
Git
JIRA
Snowflake
SQL
HQ

Mammoth Growth Corte Madera, California, USA Office

Corte Madera, CA, United States

Similar Jobs

29 Minutes Ago
Remote
United States
160K-185K Annually
Senior level
160K-185K Annually
Senior level
Database • Analytics
The Senior Analytics Engineer will architect a unified data model, develop scalable dbt models, enhance data governance, and enable advanced analytics for strategic decisions.
Top Skills: AirflowDbtFivetranGitLookerPythonSnowflakeSQL
12 Days Ago
Easy Apply
In-Office or Remote
United States
Easy Apply
118K-252K Annually
Senior level
118K-252K Annually
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Design and develop a Go-based instrumentation service for GitLab, ensuring data integrity and supporting product development teams with analytics and instrumentation capabilities.
Top Skills: GoGrpcRestRuby On Rails
Yesterday
Remote or Hybrid
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The role involves designing data pipelines, developing metrics and visualizations, collaborating with teams to track product KPIs, and ensuring data integrity within a cybersecurity environment.
Top Skills: AirflowAWSAzureCassandraDbtElasticsearchETLGoGCPKafkaOracle CloudPostgresPythonRedisSQLTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account