Staff Analytics Engineer, Lime

• 7+ years of experience in analytics engineering, data warehousing, or data architecture roles
• Deep expertise with Snowflake, dbt, and Airflow in production environments
• Strong experience designing scalable data models and semantic layers for business reporting
• Proven track record leading large technical domains and setting architectural direction
• Strong SQL skills and experience implementing automated data testing and CI/CD workflows
• Demonstrated ability to influence cross-functional stakeholders, including Director/VP-level partners
• Comfortable operating in fast-paced, ambiguous environments with a high degree of ownership and autonomy
• Not sure if you meet all the qualifications? If this role excites you we encourage you to apply

Desirable

• Lime is building out a new product vertical, Lime for Business, dedicated to helping companies around the world reimagine employee transportation
• We offer safe, efficient, and eco-friendly mobility solutions, empowering organizations to reduce commute times, enhance employee satisfaction, and advance their sustainability goals
• Our tailored programs support daily business travel, corporate campus mobility, and subsidized commuting
• Our goal is to help companies drive positive environmental impact while improving the way their workforce moves every day
• We’re just getting started and are building the team that will scale this business globally
• As the founding Staff Analytics Engineer for Lime for Business, you will define and lead the analytics architecture that powers this new product vertical
• You will own the design of the business data warehouse, semantic layer, and metric foundations that enable reliable reporting, experimentation, financial tracking, and operational insights
• This is a highly cross-functional role at the intersection of Product, Engineering, Data Science, Finance, Accounting, and Operations
• You will set the technical standards for analytics engineering within Lime for Business — ensuring scalability, data integrity, governance, and performance as we grow
• You will operate as a technical leader, influencing long-term architecture decisions while mentoring other engineers and fostering a culture of high craftsmanship, documentation, and data quality excellence
• This is a remote position with a requirement for candidates to reside in the United States to maintain effective collaboration across teams
• Own the Analytics Architecture
• Design and implement the long-term technical vision for Lime for Business’ data warehouse and semantic layer
• Translate complex business concepts (e.g., employer subsidies, commuter utilization, B2B revenue recognition, trip profitability) into scalable, well-tested data models
• Establish modeling standards using dbt to ensure consistency, reusability, and performance
• Partner Cross-Functionally
• Collaborate with General Manager, Product Managers, Engineers, Data Scientists, Operations, Finance, and Accounting to translate business requirements into trusted data products
• Serve as a thought partner on metric definitions, experimentation design, and KPI tracking
• Identify opportunities to improve existing data infrastructure and proactively drive implementation of better solutions
• Drive Analytics Engineering Excellence
• Lead development of robust ETL/ELT pipelines using Snowflake, Airflow, and dbt
• Define best practices for SQL style, modular modeling, CI/CD workflows, and automated data testing
• Ensure high standards of documentation, observability, and auditability across all data assets
• Strengthen Data Governance & Quality
• Implement automated data validation and monitoring frameworks
• Partner with Finance and Accounting to ensure reporting pipelines support month-end close and external audit readiness
• Maintain integrity and reliability of business-critical metrics