ZipRecruiter

Log In

2

Entry Level Fintech Software Engineer Jobs in San Juan, PR

medplast

Quality - Quality Engineer I

Vega Baja, PR

$60K - $78K/yr

Quality Engineer I Position Description/Responsibilities: Entry-level to intermediate Quality ... Knowledge of Minitab statistical software is a plus. Job Experience: * 0-3 years of experience in ...

medplast

Quality - Quality Engineer I

Vega Baja, PR

$60K - $78K/yr

Quality Engineer I Position Description/Responsibilities: Entry-level to intermediate Quality ... Knowledge of Minitab statistical software is a plus. Job Experience: * 0-3 years of experience in ...

medplast

Quality - Quality Engineer I

Vega Baja, PR · On-site

$60K - $78K/yr

Quality Engineer I Position Description/Responsibilities: Entry-level to intermediate Quality ... Knowledge of Minitab statistical software is a plus. Job Experience: * 0-3 years of experience in ...

All JobsFintech Software Engineer JobsEntry Level Fintech Software Engineer JobsEntry Level Fintech Software Engineer Jobs in San Juan, PR

Entry Level Fintech Software Engineer information

See San Juan, PR salary details

$23.5K

$102.8K

$185.3K

How much do entry level fintech software engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level fintech software engineer in San Juan, PR is $102,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $117,700.00 per year, depending on experience, location, and employer.

What does an entry level fintech software engineer do?

An Entry Level Fintech Software Engineer is responsible for developing, testing, and maintaining software solutions specifically for financial technology applications. They typically work on building secure and scalable platforms, integrating APIs, and ensuring compliance with financial regulations. These engineers collaborate with senior developers and other teams to deliver features that improve financial products and customer experiences. They also troubleshoot issues, write documentation, and may work with technologies such as Python, Java, or cloud platforms.

What are some common challenges faced by entry level fintech software engineers, and how can they overcome them?

Entry level fintech software engineers often encounter challenges such as understanding complex financial regulations, adapting to rapidly changing technologies, and working with large-scale, secure systems. To overcome these, new engineers should proactively seek mentorship from experienced colleagues, participate in continuous learning (such as online courses or company training), and collaborate closely with cross-functional teams like compliance and product. Embracing agile development practices and staying curious about financial industry trends can also help accelerate their growth and confidence in the role.

What are the key skills and qualifications needed to thrive as an entry level fintech software engineer, and why are they important?

To thrive as an Entry Level Fintech Software Engineer, you need a solid grounding in programming languages (such as Python, Java, or C++), understanding of algorithms, and a relevant degree in computer science or a related field. Familiarity with financial software platforms, APIs, databases, and code versioning tools like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with cross-functional teams and address complex challenges. These skills ensure you can develop reliable, secure, and compliant software solutions vital to the fast-paced fintech industry.

What is the difference between Entry Level Fintech Software Engineer vs Entry Level Data Analyst?

AspectEntry Level Fintech Software EngineerEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentDeveloping financial software, coding, testing, and deploying applicationsAnalyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageFintech companies, banks, financial institutionsFinancial services, consulting firms, fintech firms

While both roles support financial technology firms, the Entry Level Fintech Software Engineer focuses on building and maintaining software applications, whereas the Entry Level Data Analyst interprets data to inform business decisions. Both roles require a strong technical background, but their daily tasks and skill sets differ significantly.

What are the most commonly searched types of Fintech Software Engineer jobs in San Juan, PR?

The most popular types of Fintech Software Engineer jobs in San Juan, PR are:

What are popular job titles related to Entry Level Fintech Software Engineer jobs in San Juan, PR?

For Entry Level Fintech Software Engineer jobs in San Juan, PR, the most frequently searched job titles are:

What job categories do people searching Entry Level Fintech Software Engineer jobs in San Juan, PR look for?

The top searched job categories for Entry Level Fintech Software Engineer jobs in San Juan, PR are:

Entry Level Fintech Software Engineer jobs near you

Analyst, Information Technology (Data Engineer)

Oriental Bank

San Juan, PR • Hybrid

$112K - $134K/yr

Full-time

Re-posted 23 days ago

Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.

MAIN DUTIES & RESPONSIBILITIES:

  • Design, develop, and maintain ELT/ETL pipelines for batch and eventdriven 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 Gitbased version control, CI/CD pipelines, and infrastructureascode practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:

  • 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.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong handson 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 nearrealtime data (Kafka, Kinesis, or eventdriven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

  • 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.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

Recruitment Privacy Statement

Compliance Posters

#LI-Hybrid

Apply