Senior Analytics Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Take ownership of client-facing data transformations, ensuring they are developed more quickly, effectively, and at scale as customer integrations expand.

• Identify opportunities to utilize AI to enhance, expedite, and document transformation processes.

• Design and refine data integrity tests in collaboration with Engineering and Customer Success teams.

• Work closely with Customer Success to grasp data and reporting requirements.

• Diagnose data issues and create robust transformations from various sources.

• Refactor and enhance essential models and pipelines.

• Establish patterns and conventions for team members to follow.

• Elevate code quality, data integrity, team workflows, and developer experience.

• Collaborate with Engineering, Customer Success, and relevant stakeholders.

• Mentor colleagues and assist in the hiring and onboarding processes.

⛳️ Requirements

• Proven experience managing transformation pipelines for financial or operational data from integration to production-ready models.

• Familiarity with financial data is advantageous.

• Proficiency in SQL.

• Experience with dbt or similar tools.

• Comfort with version control, testing, and deployment processes.

• Ability to analyze data from its source to its end use, making informed technical decisions throughout the pipeline.

• Capacity to promote standards, support best practices, and influence architectural choices.

• Ability to navigate ambiguity independently.

• Strong commitment to code quality and data integrity.

• Experience in constructing reliable, high-performance, and well-documented transformation layers.

• Clear, direct, and persuasive communication skills for both technical and non-technical audiences.

• Background in elevating teams, coaching peers, and participating in hiring and onboarding.

• Familiarity with or the ability to quickly acquire knowledge of Python, BigQuery, Airbyte, Fivetran, Merge, Datadog, Git, and CI/CD for dbt.

• Candidates must reside in North or South America.

• US-based applicants should address employment visa sponsorship requirements.

🏝️ Benefits

• Equity.

• Flexible working hours.

• Unlimited paid time off (PTO).

• Regular in-person retreats.

• Provision of either a MacBook Pro or Lenovo laptop.

• Health insurance for US and Canadian employees.

• 401(k) plan available for US employees.

• RRSP options for Canadian employees.

• Fully remote work opportunities available in the US, Canada, and Latin America.