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Associate Data Engineer Jobs in Puerto Rico (NOW HIRING)

The Associate Engineer contributes to equipment, process, and product improvements; supports ... Apply statistical and analytical tools (e.g., data trending, basic DOE) to evaluate and improve ...

About the Role We're looking for an Engineering Manager to lead teams building and deploying AI ... Strong experience with SQL and relational or analytical data systems * Associate-level cloud ...

Overview PenFed is hiring a (Onsite) Associate Engineer IT to work onsite at our San Patricio ... systems and enable seamless data flow across the organization. Responsibilities Reasonable ...

About the Role We're looking for an Engineering Manager to lead teams building and deploying AI ... Strong experience with SQL and relational or analytical data systems * Associate-level cloud ...

AI Native Engineer - Senior Associate

San Juan, PR · On-site

$102K - $140K/yr

Whether your background is in software engineering, data science, machine learning engineering, or a blend of disciplines, this role is for builders who want to work at the frontier of applied AI ...

AI Native Engineer - Senior Associate

San Juan, PR · On-site

$120K - $158K/yr

Whether your background is in software engineering, data science, machine learning engineering, or a blend of disciplines, this role is for builders who want to work at the frontier of applied AI ...

Sr Engineer

Juncos, PR · On-site

$101K - $139K/yr

Support data integrity and ALCOA+ principles throughout qualification activities. * Prepare and ... engineers, associates and/or technicians on an ongoing basis as well as on a project basis. 4. ...

... AI Developer, Senior Associate, you will play a pivotal role in helping clients optimize ... geographic data across various fields including urban planning, environmental management, and ...

Senior Engineer

Juncos, PR · On-site

$95 - $135/hr

... data. * Work with project managers to complete engineering projects within schedule, budget, and ... Coordinate and supervise the work of engineers, associates, and technicians on both ongoing and ...

Sr. Engineer

Juncos, PR · On-site

$110 - $170/hr

Supervise, coordinate, and review the work of engineers, associates, and technicians on both ... performance data. * Develop clear, factual, and scientifically justified conclusions and ...

Sr. Engineer

Juncos, PR · On-site

$101K - $139K/yr

Supervise, coordinate, and review the work of engineers, associates, and technicians on both ... performance data. * Develop clear, factual, and scientifically justified conclusions and ...

Sr. Engineer

Juncos, PR · On-site

$120 - $180/hr

Supervise, coordinate, and review the work of engineers, associates, and technicians on both ... performance data. * Develop clear, factual, and scientifically justified conclusions and ...

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Associate Data Engineer information

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

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

The most popular types of Data Engineer jobs in Puerto Rico are:

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

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

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

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

What cities in Puerto Rico are hiring for Associate Data Engineer jobs?

Cities in Puerto Rico with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Puerto Rico as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

GenAI Python Systems Engineer - Experienced Associate

Pwc

San Juan, PR • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Design and implement AI systems using Python and machine learning libraries such as Scikit-Learn

  • Develop data pipelines and models to transform raw data into actionable insights for clients

  • Collaborate with team members to support AI-driven automation and cognitive solutions


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Associate

Job Description & Summary

The Opportunity
As a GenAI Python Systems Engineer - Experienced Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale, enabling informed decision-making and innovation.
As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver work that drives value for our clients and success as a team, building a personal brand and opening doors to more opportunities.
In this role at PwC, you will engage in designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will be part of a fast-paced environment, where every experience is an opportunity to learn and grow, contributing to the firm's success and your professional development.
Responsibilities
- Designing and implementing AI systems using Python and machine learning libraries such as Scikit-Learn
- Developing data pipelines and models to transform raw data into actionable insights for clients
- Collaborating with team members to support AI-driven automation and cognitive solutions
- Conducting complex data analysis to discern patterns and inform decision-making
- Applying programming languages to build scalable AI and machine learning solutions
- Confirming data quality and integrity throughout the development process
- Engaging in active listening and accepting feedback to enhance personal growth and team performance
- Building commercial awareness by understanding how the business works and its impact on client solutions
- Upholding professional and technical standards, including the Firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in Python and Scikit-Learn for machine learning
- Utilizing AI implementation skills in client-facing projects
- Engaging in complex data analysis and data modeling
- Applying machine learning libraries to enhance data-driven solutions
- Adapting to fast-paced environments with diverse client needs

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK