Senior Analytics Engineer

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

📋 Description

• Design, construct, and sustain scalable data pipelines and architecture utilizing Snowflake, dbt, and AWS.

• Take charge of technical decisions regarding data ingestion, transformation, orchestration, and modeling.

• Create and enhance integrations with internal systems, merchants, payment platforms, and external partners.

• Develop reusable dbt models that convert raw source data into reliable datasets for analytics, financial systems, and reporting.

• Set standards for data testing, monitoring, validation, documentation, and governance.

• Implement automated measures to detect data issues early and enhance data integrity.

• Collaborate with Engineering, Analytics, Finance, Operations, and Financial Systems.

• Define data specifications and convey technical concepts and trade-offs to both technical and non-technical stakeholders.

• Promote best practices in SQL, dbt, code reviews, CI/CD, and development workflows.

• Optimize performance, streamline architecture, and minimize manual processes.

• Mentor colleagues and offer technical guidance.

• Integrate AI coding agents and tools into development workflows while thoroughly reviewing AI-generated code.

⛳️ Requirements

• Over 5 years of experience as an Analytics Engineer, Data Engineer, or in a comparable role focused on data infrastructure, analytics, or operational data.

• Proficient SQL skills, including complex joins, window functions, advanced transformations, and query optimization across extensive datasets.

• Strong experience in production with dbt and cloud data warehouses, preferably Snowflake, encompassing data modeling, testing, documentation, and deployment practices.

• In-depth knowledge of data modeling principles, including dimensional modeling, facts and dimensions, slowly changing dimensions, and incremental models.

• Experience in designing and maintaining comprehensive data pipelines, from source ingestion through transformation to downstream reporting.

• Familiarity with Git-based development workflows, including pull requests, code reviews, CI/CD, and collaborative development practices.

• Practical experience working with AI coding agents, such as Claude Code.

• Capability to independently lead technical projects and make well-informed architectural decisions.

• Ability to balance immediate business requirements with long-term platform enhancements.

• Excellent communication skills and the ability to work effectively across both technical and non-technical teams.

• Eligibility to work in the United States, with no immigration-related sponsorship offered.

🏝️ Benefits

• Competitive salary based on experience.

• Comprehensive medical benefits.

• Dental and vision coverage.

• Equity in a rapidly growing early-stage startup.

• Generous and flexible paid time off policy.

• 401(k) plan with financial guidance from Morgan Stanley.

• A collaborative and supportive work environment.

• Opportunity to work with a diverse team.