Senior Analytics Engineer

About the role

The Analytics Engineering team at Remitly builds foundational data pipelines and models that power decision-making across the company. You will design dimensional models across multiple business domains, becoming an expert in how data originates and flows through Remitly's systems. Your experience will shape the engineering standards that govern how pipelines are built, tested, and maintained. You'll develop requirements and mart strategy in partnership with analytics, engineering, and product teams, ensuring our models meet their needs as Remitly evolves. You will report directly to the Manager of Analytics Engineering.

Responsibilities

• Design dimensional models across business domains, ensuring accurate reporting, informed decisions, and regulatory compliance
• Promote agreement across partner teams on data definitions, requirements, and modeling approach before building, improving clarity and adoption downstream
• Set standards for engineering quality by improving Trino query performance at scale, strengthening code maintainability, and establishing patterns that the broader team adopts
• Develop data quality controls and monitoring that catch issues before they reach our partner teams
• Evolve of existing models as Remitly scales into new corridors, products, and regulatory environments, advocating for change when current designs no longer serve the business

Requirements

• 7+ years of experience in analytics engineering, data engineering, or a related field
• Expert SQL skills, including query optimization and the ability to interpret execution plans in a Trino environment
• Deep experience designing and maintaining dimensional models (facts, dimensions, slowly changing dimensions) in a production Lakehouse
• Fluency in a data programming language such as Scala or Python
• Experience working in version-controlled codebases such as GitHub and standard pull request workflows
• Familiarity with transformation frameworks such as dbt or sqlMesh
• Experience partnering with engineering and analytics teams to define data requirements

Qualifications

• Bachelor's degree in Computer Science, Statistics, Data Science, or a related field
• Proven track record of delivering high-quality, scalable data solutions
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

Skills

• Trino query optimization
• Data modeling and design
• Version control and Git workflow
• Transformation frameworks (dbt, sqlMesh)
• SQL and data analysis

Benefits

• Flexible paid time off
• Health, dental, and vision coverage with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits

Pay

The starting base salary range for this position is typically $176,000–$220,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Schedule

Corporate team members are expected to be in the office at least 50% of the time monthly, typically achieved by coming in three days a week. Managers have the flexibility to set higher expectations based on their team's specific needs.