Analytics Engineer II
Core
Build end-to-end data products for financial reconciliation, detecting discrepancies, and ensuring data accuracy for Accounting, Treasury, and Finance teams.
Role type
Senior Analytics Engineer (Data Quality & Reconciliation)
Builds
Data pipelines, dimensional models, alerting systems, and AI agent workflows for data validation
Domain
Fintech / Financial Data Reconciliation (via careerplan.io/jobs/106973-analytics-engineer-ii-at-remitly)
Deliverable
production ML models | product features
Required skills
SQL, Python, dimensional data modeling, ETL design, distributed query engines (Trino/Spark), workflow orchestration (Airflow), CI/CD, AWS
Preferred skills
Software engineering background, machine learning concepts, financial data experience, data quality practices
Technologies
Trino, Spark, Snowflake, Redshift, Azkaban, Airflow, AWS
Responsibilities
Design and maintain metric/check definitions for financial data accuracy; Build and maintain ETL pipelines and dimensional models; Investigate data discrepancies to root cause and create durable checks; Design and validate AI agent workflows for data modeling and code implementation; Build alerting and observability for platform health; Collaborate with stakeholders to align data solutions with business goals
Seniority
Senior, hands-on IC
