Salary
💰 $141,000 - $191,000 per year
About the role
- Work with real-time payments data at massive scale and help shape the future of our data platform as we grow
- Design and implement data models that enable critical business functions across the organization
- Build and maintain data products that support automated reporting, customer-facing analytics, and operational workflows
- Collaborate with the Risk team to develop monitoring systems and analytical frameworks for risk assessment
- Support the Operations team with data infrastructure that streamlines business processes and improves efficiency
- Establish and promote best practices for data governance, quality, and documentation
- Mentor other team members and contribute to the evolution of analytics engineering practices
- Work cross-functionally with Product, Risk, Operations, and Finance to translate business needs into technical solutions
Requirements
- Proven experience in analytics engineering or data engineering roles, with a track record of building impactful data solutions
- Strong SQL skills with experience in modern data warehouse environments (Snowflake preferred)
- Expertise with DBT or similar data transformation frameworks
- Proficiency in Python and version control workflows (Git)
- Curiosity about, and ideally experience with using AI tools to develop high quality work products
- Experience working with cross-functional stakeholders to translate business needs into technical solutions
- Ability to work with various types of data including transactional, financial, and operational datasets
- Comfort with ambiguity and ability to drive projects forward with minimal oversight
- Versatile problem-solving across business domains and ownership mentality