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Sql Jobs in Puerto Rico (NOW HIRING)

Data Engineer

San Juan, PR ยท On-site

$65 - $85/hr

Write Python scripts and SQL queries to extract, transform, and load data following established medallion architecture patterns (bronze โ†’ silver โ†’ gold). * Develop data quality checks and ...

Data Infrastructure Engineer

San Juan, PR ยท On-site

$110 - $150/hr

The ideal candidate brings strong handsโ€‘on experience with SQL and/or Sparkโ€‘based transformations, along with a deep understanding of data engineering best practices. What sets INVID apart is our ...

Sr Data Scientist

Juncos, PR ยท On-site

$110 - $170/hr

Work with SQL and other database query languages to extract, transform, and analyze large datasets. * Apply statistical and analytical techniques to evaluate process variability, performance trends ...

Java Developer

Caguas, PR ยท On-site

$70 - $90/hr

Familiarity with SQL or NoSQL databases. * Experience working within agile, cross-functional teams. * Bilingual proficiency in English and Spanish. Preferred Skills: * Exposure to cloud platforms ...

Work closely with MS SQL Server databases to optimize performance, maintain data integrity, and troubleshoot issues. * Collaborate with business teams to gather requirements, understand processes ...

Data Infrastructure Engineer

San Juan, PR ยท On-site

$90 - $130/hr

The ideal candidate brings strong hands-on experience with SQL and/or Spark-based transformations, along with a deep understanding of data engineering best practices. What sets INVID apart is our ...

Power Platform Developer II

San Juan, PR ยท On-site

$70 - $110/hr

Azure SQL * Azure AD * Office 365 * Word, Excel, PowerPoint, Outlook * SharePoint * OneDrive * Internet Browsers (Edge, Safari, Firefox, Chrome, Internet Explorer) Experience Must have at least five ...

Maintains system patches, O/S, SQL and ESS/ACAS STIG compliance. * Ensures compliance with Continuous Monitoring and Risk Scoring (CMRS). * Ensures TRILIX ESS/ACAS suite is installed and configured ...

Showing results 21-40

Sql information

What is SQL?

In database programming, structured query language (SQL) is a domain-specific language that programmers and database administrators use to store and manipulate data, particularly structured data controlled by relational database systems. Relational data is when pieces of data have a relation to variables in the database. SQL gained in popularity over similar earlier languages because it allowed users to call up many pieces of data with a single command and did away with the need for an index of the information in the database. A variety of careers use structured query language (SQL), including technical jobs as a database administrator, server management specialist, web designer, hosting technician, software developer, and software quality assurance, as well as positions in business analysis and business intelligence.

What is an SQL developer?

SQL developers are professionals who specialize in using Structured Query Language (SQL) to manage and manipulate data within relational database systems. They design, develop, and maintain databases, write complex queries, and ensure the integrity and security of data. SQL developers often work closely with other IT staff to optimize database performance and support applications that rely on database information.

What are the key skills and qualifications needed to thrive as an SQL developer?

To thrive as an SQL Developer, you need strong knowledge of database design, SQL programming, and data manipulation, typically supported by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, MySQL, or Oracle, and certifications such as Microsoft Certified: Azure Data Fundamentals are often required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and interpreting business requirements. These skills ensure accurate data management, efficient query performance, and successful delivery of data-driven solutions.

What are some common challenges faced by SQL developers when working with large databases?

SQL Developers often encounter challenges such as optimizing query performance, managing data integrity, and handling massive volumes of data efficiently. Large databases can slow down queries, so developers must use indexing, partitioning, and query optimization techniques to maintain speed and reliability. Collaboration with database administrators and data analysts is also crucial to resolve performance bottlenecks and ensure data consistency across teams.

What is the difference between Sql vs Database Administrator?

AspectSqlDatabase Administrator
Required CredentialsKnowledge of SQL language, certifications like Microsoft SQL Server CertificationSQL certifications, database management certifications, experience with SQL
Work EnvironmentDeveloping, writing, and testing SQL queries and scriptsManaging, maintaining, and securing databases in enterprise environments
Industry UsageUsed by developers, data analysts, and database professionalsEmployed by organizations to oversee database systems

Sql is a language used for managing and querying databases, while a Database Administrator (DBA) manages and maintains the database systems. SQL skills are essential for DBAs, but the role involves broader responsibilities like performance tuning, security, and backups.

Does SQL pay well?

SQL professionals, such as database administrators and developers, typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with experience and skills in tools like SQL Server or MySQL, salaries tend to increase significantly, especially in high-demand sectors like finance and technology.

Is SQL a difficult skill to learn?

SQL is a fundamental skill for data-related roles and is generally considered accessible for beginners. It involves learning syntax and concepts like queries and databases, which can be mastered with practice and training. Many resources and courses are available to help new learners develop proficiency efficiently.

Is SQL high demand?

SQL is a highly in-demand skill for data analysts, database administrators, and developers, as it is essential for managing and querying relational databases. Many industries rely on SQL for data-driven decision-making, leading to consistent job opportunities and competitive salaries for those proficient in SQL and related tools like MySQL, PostgreSQL, or SQL Server.

Is SQL in demand in 2026?

SQL remains a highly in-demand skill for data analysts, database administrators, and developers in 2026, as many organizations rely on relational databases for data management. Proficiency in SQL, along with knowledge of database management systems like MySQL, PostgreSQL, or SQL Server, continues to be valuable for roles involving data analysis, reporting, and backend development.

What are the most commonly searched types of Sql jobs in Puerto Rico?

The most popular types of Sql jobs in Puerto Rico are:

What are popular job titles related to Sql jobs in Puerto Rico?

For Sql jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Sql jobs in Puerto Rico look for?

The top searched job categories for Sql jobs in Puerto Rico are:

Infographic showing various Sql job openings in Puerto Rico as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 3% Part Time, and 8% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Analyst, Information Technology (Data Engineer)

Oriental Bank Plc.

San Juan, PR โ€ข On-site

$90 - $120/hr

Other

Posted 5 days ago


Job description

## Analyst, Information Technology (Data Engineer)Applyremote type: Hybridlocations: San Juan, Puerto Rico: Charlotte, North Carolina, United Statestime type: Full timeposted on: Posted 30+ Days Agojob requisition id: R0007460OFG 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 eventโ€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 Gitโ€based version control, CI/CD pipelines, and infrastructureโ€asโ€code practices.* Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.* Other duties may be assigned.**MINIMUM REQUIREMENTS:*** Bachelorโ€™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 handsโ€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 nearโ€realโ€time data (Kafka, Kinesis, or eventโ€driven 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) #J-18808-Ljbffr