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Sr Data Engineer Jobs in Puerto Rico (NOW HIRING)

Hondadesanjuan

Data Engineer

San Juan, PR · On-site

$65 - $85/hr

This is not a traditional data engineering role. You'll be joining a newly created Strategy ... Collaborate with senior engineers on code reviews, sprint planning, and incident response, learning ...

ECHO Consulting Group

Sr Data Scientist

Juncos, PR · On-site

$85 - $120/hr

The Data Scientist will lead projects and collaborate with business partners including commercial ... Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical ...

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Sr Data Engineer information

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Puerto Rico?

For Sr Data Engineer jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Puerto Rico look for?

The top searched job categories for Sr Data Engineer jobs in Puerto Rico are:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Hondadesanjuan

San Juan, PR • On-site

$65 - $85/hr

Other

Posted 5 days ago

Job description

Why join our Strategy & Innovation Team?

This is not a traditional data engineering role.

You’ll be joining a newly created Strategy & Innovation team at a pivotal moment in its journey. As one of the early members of the group, you’ll won’t just be executing a roadmap, you’ll help shape it. From defining how data supports strategic decision‑making to enabling new AI‑driven capabilities, your work will directly influence how the organization grows and innovates.

The team combines the energy and agility of a startup environment with the resources, scale, and long‑term commitment of an established company. You'll work alongside ambitious professionals who enjoy solving complex problems, experimenting with new technologies, and turning ideas into tangible business impact. This role offers a unique opportunity to build foundational data capabilities from the ground up, contribute to high‑visibility initiatives, and develop solutions that will be used across the organization. If you're excited by ownership, continuous learning, and the chance to help define what the future looks like, you'll feel right at home here.

What makes this opportunity especially exciting:
  • Be part of a newly established Strategy & Innovation function with significant visibility and executive support.
  • Help build the data foundations that will power analytics, AI, and strategic initiatives across the business.
  • Work on projects with real business impact, not isolated technical exercises.
  • Collaborate with an agile, and highly motivated team that values curiosity, experimentation, and execution.
  • Enjoy the rare combination of startup‑like influence and enterprise‑level stability and resources.
What the role looks like:
  • Build and maintain data pipelines that ingest data from internal systems, third‑party APIs, and external sources into our data platform.
  • Write Python scripts and SQL queries to extract, transform, and load data following established medallion architecture patterns (bronze → silver → gold).
  • Develop data quality checks and validation rules to catch issues early and ensure downstream analytics teams can trust the data.
  • Document data sources, transformation logic, and lineage so the team and business stakeholders understand what each dataset represents.
  • Collaborate with senior engineers on code reviews, sprint planning, and incident response, learning production‑grade engineering practices from day one.
  • Support analytics and reporting teams by responding to data requests, troubleshooting pipeline issues, and improving existing models.
  • Contribute to a modern cloud‑based data stack (Azure, Databricks, dbt, Terraform), building skills that transfer anywhere in the industry.
Requirements:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field.
  • 1-3 years of experience in Data Engineering, Analytics Engineering, Business Intelligence, Software Engineering, or a related data‑focused role.
  • Strong SQL skills and experience working with relational databases.
  • Proficiency in Python for data processing, automation, or ETL development.
  • Understanding of data modeling concepts and ETL/ELT processes.
  • Experience working with APIs and integrating data from multiple sources.
  • Familiarity with Git and collaborative software development practices.
  • Strong problem‑solving skills and attention to data quality.
  • Excellent communication skills and ability to work with both technical and business stakeholders.
  • Curiosity, ownership mindset, and willingness to learn new technologies quickly.
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