Brainforge is a rapidly growing data analytics consulting company on a mission to transform data into actionable insights. They are seeking a highly skilled Analytics Engineer to build data models, develop scalable architectures, and collaborate with stakeholders to create actionable data solutions.

Responsibilities:

Data Modeling & Architecture: Design, implement, and maintain robust, scalable data models to support analytics and reporting
Build end-to-end data marts and ensure they meet stakeholder requirements for usability, accuracy, and performance
ETL Development: Build, optimize, and manage ETL pipelines using DBT (5+ years required) and tools like Fivetran
Ensure high standards for data quality, integrity, and consistency across multiple sources
Collaboration & Stakeholder Engagement: Work directly with business stakeholders to gather requirements, define KPIs, and deliver usable data solutions
Partner with at least one or two other analytics engineers to design, test, and refine data products
Tooling & Process Management: Use GitHub for version control and collaboration
Leverage tools like Figma, FigJam, or Miro for whiteboarding and documenting data workflows
Implement testing, usage measurement, and observability best practices for data marts
Continuous Improvement: Stay current with modern data stack trends and continuously improve data modeling methodologies
Contribute to building the company’s long-term data modeling strategy and methodology

Requirements:

5+ years working with DBT in production
Experience with data in B2B SaaS, B2C digital products, CPG e-commerce, or health
Proficiency with major cloud data warehouses (BigQuery or Snowflake)
Strong SQL skills and proven track record of scalable data modeling
Hands-on use of GitHub for version control
Proven experience working with other analytics engineers (not just as a solo data contributor)
Ability to work directly with stakeholders to design and deliver data products
Builder Mentality – Passionate about creating and iterating on data solutions from scratch
Stakeholder-Centric – Comfortable leading conversations with non-technical users to gather requirements
Analytical & Curious – Always measuring, testing, and improving data solutions
Collaborative – Enjoys working closely with team members and cross-functional partners
Time Zone Fit – Can work until at least 12 PM US Central Time
Startup or smaller company background
Work in consulting or agency environments
Familiarity with BI tools like Looker or Tableau
Experience with Python, dbt tests, and SQL linters like SqlFluff

Brainforge

Open Positions (1)

Engineering

Analytics Engineer