Analyst, Information Technology (Data Engineer)

Oriental Bank; San Juan (PR); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Oriental Bank is seeking a Data Engineer with a strong background in Snowflake and AWS for maintaining and optimizing data pipelines. The role requires handling financial transaction data while ensuring compliance and data integrity.

Applicants should have a Bachelor’s degree in a relevant field and at least three years of experience in Data Engineering. This position is hybrid and requires legal authorization to work in the US.

Qualifications

• 3+ years of professional experience in Data Engineering or a related role.
• Strong hands-on experience with Snowflake, including data ingestion and performance optimization.
• Proficiency in Python for data processing and pipeline automation.

Responsibilities

• Design, develop, and maintain ELT/ETL pipelines for data ingestion using Snowflake and AWS.
• Engineer and optimize Snowflake data models for analytics and reporting.
• Integrate with AWS services to support data ingestion and processing.

Skills

Snowflake

AWS

SQL

Python

Data engineering tools

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Git

Tableau

Airflow

Job description

Responsibilities

• Design, develop, and maintain ELT/ETL pipelines for batch and event‑driven data ingestion using Snowflake and AWS.
• Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
• Develop scalable data processing solutions using SQL and Python.
• Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
• Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
• Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
• Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
• Support production deployments using Git‑based version control, CI/CD pipelines, and infrastructure‑as‑code practices.
• Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
• Other duties may be assigned.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field required.
• Three (3)+ years of professional experience in Data Engineering or a related role required.
• Strong hands‑on experience with Snowflake, including data ingestion, transformations, and performance optimization.
• Experience working within AWS cloud environments, particularly with S3 and serverless services.
• Advanced SQL skills and experience working with large, complex datasets.
• Proficiency in Python for data processing and pipeline automation.
• Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
• Familiarity with Git, CI/CD practices, and production support workflows.

Preferred Qualifications

• Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
• Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
• Exposure to streaming or near‑real‑time data (Kafka, Kinesis, or event‑driven architectures).
• Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

Work Authorization & Eligibility

Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization. Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

EEO Statement

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities) Recruitment Privacy Statement Compliance Posters #LI-Hybrid