Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop production dbt models on Databricks that serve as the authoritative source for the organization’s business activities.

• Provide accurate, governed data for external reporting that stakeholders and partners can rely on.

• Take ownership of data quality through testing, CI/CD, documentation, and the standards the team adheres to.

• Create and enhance Databricks dashboards and semantic metrics for self-service accessibility throughout the business.

• Offer technical leadership (code reviews, architectural guidance, mentoring junior AEs) to accelerate team output while maintaining a high standard of quality.

• Collaborate with Data Engineering, Analytics Engineering, and analytics stakeholders to transform complex business challenges into sustainable data products.

• Champion AI-native workflows: utilize Cursor/Claude (or similar) in daily development; design models and documentation that cater to LLM consumers.

⛳️ Requirements

• 5+ years of experience in analytics engineering or a related field: you have managed production models from start to finish, not just performed ad hoc analyses.

• Proficient in SQL with extensive dbt experience (architecture, incremental models, tests, macros, CI/CD).

• Strong background in delivering Databricks BI (or equivalent semantic layer).

• Practically AI-savvy: you regularly use AI coding tools, rigorously validate outputs, and design data for both human users and agents.

• Demonstrated ability to thrive in ambiguous situations: adapt to startup speed, work with incomplete specifications, and prioritize shipping solutions.

• Excellent communication skills for both technical and non-technical audiences.

• Owner mentality: you identify problems, take action to resolve them, and elevate standards for others.

• Strong advantage: experience in fintech/regulated data, Python automation, Databricks, GitLab/MR workflows, and previous tech-lead or senior IC roles on a lean data team.

🏝️ Benefits

• Competitive cash compensation.

• Benefits that start on day one.

• Early access to a high-potential, high-growth fintech environment.

• Generous stock option packages in an early-stage startup.

• Remote-friendly (anywhere in the US) and office-friendly - you choose your schedule.

• Flexible time-off programs including vacation, sick leave, paid parental leave, and paid caregiver leave.

• 401(k) plan with matching contributions.