Analytics Engineer II — AI-Driven Data Quality

Remitly; Philippines; Hybrid; PHP 800,000 - 1,400,000; Full time

Benefits offered by this job

Rice Allowance

Transportation Allowance

Paid Vacation

Medical, Dental & Vision

Accident and Life Insurance

Employee Stock Purchase Plan (ESPP)

Mental Health & Family FormingBenefits

Job summary

Remitly is seeking an experienced Analytics Engineer to own data products end to end, from modeling to production deployment. You will design metrics, build ETL pipelines, and collaborate with Accounting, Treasury, Finance and Compliance.

You will work with AI-driven workflows, validate AI outputs, and ensure data quality and observability. A strong background in SQL, distributed data systems, and AWS is required, with hybrid collaboration across teams.

Qualifications

• 5+ years as an analytics engineer or equivalent.
• Expert in SQL, git, and a programming language (Python, Scala, Java, or similar).
• Experience in dimensional data modeling, ETL design, implementation and maintenance.
• Experience with distributed query engines and cloud data platforms (Trino, Spark, Snowflake/Redshift or equivalent) and with workflow orchestration (Azkaban, Airflow or equivalent).
• Knowledge of logging, error handling, and familiarity with CI/CD concepts.
• Familiarity with AWS products and services.
• Experience with analytical model development and deployment processes.
• Strong communication skills and ability to collaborate effectively with stakeholders.
• You live our cultural values.

Responsibilities

• Own data products end to end — from requirements through modeling, implementation, validation, and production operation
• Design and maintain the metric and check definitions that determine whether financial data is correct and complete, and onboard new business domains onto the platform
• Build and maintain the pipelines and transformations behind those metrics, including dimensional modeling, ETL design, and the documentation and data dictionaries that make them usable by others
• Contribute to the platform's application and service layer — the interfaces, services and deployments through which partners consume the platform's output
• Investigate discrepancies and anomalies to root cause, and turn each finding into a durable check rather than a one-off fix
• Use AI agents as a primary working method — to model and reverse-engineer data semantics, to implement and ship production code, and to design the agent workflows the platform itself runs on
• Validate what AI produces: define the acceptance criteria, evaluation, and review that make agent-generated work safe to ship, and apply domain judgment where correctness cannot be automated
• Build alerting and observability so that issues reach a named owner with enough context to act, and so the platform's own health is visible
• Work with partner teams to understand requirements and ensure data solutions align with Remitly's goals
• Communicate complex data findings and technical information to non-technical partners in Accounting, Treasury, Finance and Compliance, both verbally and through data visualizations
• Identify ways to improve the reliability, efficiency and quality of the platform, so coverage grows faster than the effort required to operate it

Skills

SQL

Git

Python/Scala/Java

Dimensional Modeling

ETL Design

Cloud Platforms

Airflow

Azkaban

CI/CD

AWS

Tools

Trino

Spark

Snowflake

Redshift

Airflow

Azkaban

CI/CD

AWS

Job description

Remitly is seeking an experienced Analytics Engineer to own data products end to end, from modeling to production deployment. You will design metrics, build ETL pipelines, and collaborate with Accounting, Treasury, Finance and Compliance.

You will work with AI-driven workflows, validate AI outputs, and ensure data quality and observability. A strong background in SQL, distributed data systems, and AWS is required, with hybrid collaboration across teams.