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Data Engineer Data Analyst Jobs in Puerto Rico (NOW HIRING)

Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR * Bachelors + 4 years of ...

New

Jr. Data Analyst - On-Site (Puerto Rico)

San Juan, PR ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Information Management, or ...

Jr. Data Analyst - On-Site (Puerto Rico)

San Juan, PR ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Information Management, or ...

Jr. Data Analyst - On-Site (Puerto Rico)

San Juan, PR ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Information Management, or ...

Sr Data Scientist 35618

Juncos, PR ยท On-site

$90 - $130/hr

... engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business ...

New

... engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business ...

Data Scientist

Juncos, PR ยท On-site

$90 - $120/hr

Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR * Bachelors + 4 years of ...

New

Sr Data Scientist

Juncos, PR ยท On-site

$110 - $150/hr

Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience Bachelors + 4 ...

Sr Data Scientist

Juncos, PR ยท On-site

$110 - $160/hr

... engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business ...

... engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business ...

... engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business ...

PR ยท On-site

$95K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

You can tell which questions need a rigorous answer and which need a good-enough answer by Thursday. * 3+ years in data science, analytics engineering, or quantitative analysis with real operational ...

Showing results 21-40

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

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

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

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

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

Junior Data Engineer (Puerto Rico)

Raytheon Technologies

Santa Isabel, PR โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Date Posted:
2026-07-08
Country:
United States of America
Location:
US-PR-SANTA ISABEL-B1 ~ Felicia Industrial Park - St B1 ~ BLDG 1
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance:
None/Not Required
Collins Aerospace is seeking a Junior Data Engineer to join our Digital Technology team. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
**This is a hybrid position in Puerto Rico**
What YOU will do:
  • Effectively plan and collaborate with technical and non-technical teams supporting multiple key business initiatives.
  • Develop and manage data-driven solutions and architectures supporting multiple reports, tools, and systems.
  • Conduct advanced statistical analysis to yield actionable insights, identify trends, measure performance, and visualize disparate sources of data.
  • Turn ideas from proof-of-concepts to product while working with engineering teams to optimize factory productivity, customer satisfaction, and attainment of financial targets given a set of constantly changing supply constraints.
  • Engagement in data governance council to define, develop, and review standards, guidelines, and data models to promote data quality and best practices.

What You Will Learn.
  • Understanding of manufacturing and supply chain processes.
  • Data-driven-product planning, design, implementation, deployment, and sustainment in a matrixed organization
  • Foundational data sources and key performance metrics depended by Raytheon Operations and Supply Chain to build quality data products.
  • Designing, troubleshooting, and maintaining tasks, procedures, views, and ETL pipelines.

Qualifications YOU Must Have:
  • Typically requires a University Degree and minimum 2 years of prior relevant experience or an Advanced Degree.
  • Must be a U.S. Citizen.
  • Experience using MRP, ERP, and MES systems (SAP preferred).
  • Experience in design, implementations, and optimization in relational SQL databases.
  • Experience with data cleansing, curation, mining, manipulation, and analysis from disparate systems (SQL, Python preferred).

Qualifications We Prefer:
  • Knowledge of Data Extract, Transform and Load (ETL) processes using SQL as the foundation.
  • Ability to understand complex systems and processes and translate business needs to requirements.
  • Working knowledge of Agile software development methodologies.
  • Self-motivated and proactive problem solver with demonstrated creative and critical thinking capabilities.
  • Knowledge of database structures, modeling implementation such as third normal form.
  • Experience with Python and related libraries such as Pandas for advanced data analytics.
  • Experience with configuration control (GitHub preferred) and DataDevOps practices using GitHub Actions, Jenkins or other deployment pipelines that provide Continuous Integration and Continuous Delivery (CI/CD).
  • Experience with Snowflake Streams, Stages and Snowpipes for data ingestion.
  • Experience with VS Code and GitHub Desktop for integrated development.
  • Experience with web application relational database models and APIs.
  • Knowledge of statistical modeling and machine learning methods
  • Knowledge of data visualization tools such as Tableau or Power BI..
  • Knowledge of advanced Excel, pivot tables, Power Query.
  • Experience with Manufacturing, Operations, and/or Supply Chain process and systems.

What We Offer:
  • Some of our competitive benefits packages include:
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds
  • Participation in the Employee Scholar Program (ESP)
  • Life insurance and disability coverage
  • Employee Assistance Plan, including up to 8 free counseling sessions
  • And more!

Learn More & Apply Now!
Do you want to be part of a new, exciting initiative to combine foundational IT with new digital technologies? Our Digital Technology team is driving business efficiencies and a better customer experience by connecting technologies, people, information and processes. From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there's no better place to be right now than in digital. If you're an agile thinker who enjoys utilizing modern technology to make big improvements, then you're a perfect fit for this team. Join Collins Aerospace to help us revolutionize the aerospace industry today!
* Please consider the following role type definitions as you apply for this role.
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings.
At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.
Apply now and be part of the team that's redefining aerospace, every day.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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