1 month ago
Manila, PhilippinesMid Level
Responsibilities
- Own data products end to end from requirements through modeling, implementation, validation, and production operation.
- Define and maintain financial-data metrics, checks, data models, pipelines, transformations, documentation, and data dictionaries.
- Contribute to the platform application and service layer, including interfaces, services, and deployments.
- Investigate discrepancies and anomalies, identify root causes, and create durable data-quality checks.
- Use AI agents to model data semantics, implement production code, and design agent workflows.
- Define acceptance criteria, evaluations, and review processes to validate AI-generated work.
- Build alerting and observability that route issues to owners and expose platform health.
- Partner with stakeholders to understand requirements and align data solutions with business goals.
- Communicate technical findings to non-technical partners through verbal explanations and data visualizations.
- Improve platform reliability, efficiency, quality, and operational coverage.
Requirements
- 5+ years of experience as an analytics engineer or equivalent.
- Expertise in SQL, Git, and a programming language such as Python, Scala, or Java.
- Experience with dimensional data modeling, ETL design, implementation, and maintenance.
- Experience with distributed query engines, cloud data platforms, and workflow orchestration.
- Knowledge of logging and error handling, plus familiarity with CI/CD concepts.
- Familiarity with AWS products and services.
- Experience with analytical model development and deployment processes.
- Strong communication and stakeholder collaboration skills.
- Preferred: software engineering experience building and operating production services, including application code, testing, code review, deployment, and operational ownership.
- Preferred: familiarity with machine learning concepts and data-quality applications of predictive methods.
- Preferred: experience with financial data, reconciliation, ledgers, regulated reporting, data-facing web applications, internal tools, or introducing data-quality practices.
Benefits
- Rice allowance, transportation allowance, paid vacation, medical, dental, and vision coverage, accident and life insurance, Employee Stock Purchase Plan, and mental health and family-forming benefits.
- Connected Work Culture with an expectation that corporate team members work in the office at least 50% of the time monthly, typically three days per week; managers may set higher expectations.
Categories
Data Engineering
About Remitly
Remitly builds a digital remittance platform and mobile app for sending money across borders, with delivery options like bank deposit, cash pickup, and mobile wallets. It earns revenue from transfer fees and foreign-exchange spreads, serving immigrant communities and their families. Founded in 2011 and headquartered in Seattle, Remitly is a public company listed on NASDAQ (ticker: RELY) with operations across major send and receive corridors worldwide.