Senior Data Engineer - BI & Analytics Leader (Onsite PR)

Kelly Services; Juncos (PR); On-site; USD 55,000 - 78,000; Full time

Benefits offered by this job

Paid vacation and holidays

Christmas bonus

Medical, dental, and vision coverage

Retirement savings plan

Transit spending account

Job summary

Kelly Services is looking for a Senior Data Engineer | Scientist to design, build, and deploy scalable data solutions that support business intelligence, advanced analytics, and operational excellence. In this onsite role in Juncos, Puerto Rico, you will translate business requirements into technical solutions while working alongside cross-functional stakeholders.

Role includes collaborating with teams to implement data pipelines, leveraging Python, R, SAS, MATLAB, and SQL to enable data-driven

Qualifications

• Master’s degree with at least 2 years of experience, or Bachelor’s with at least 4 years in related fields.
• Degree in Data Science, Statistics, Data Mining, Applied Mathematics, Engineering, CS, or Business Analytics.
• Strong programming, coding, system design, algorithms, and data structures knowledge.
• Proficiency in Python, R, SAS, or MATLAB, plus SQL and database technologies.
• Fluent communication in Spanish and English (written and verbal).

Responsibilities

• Design, develop, and implement scalable data solutions for BI and analytics.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

Python

R

SAS

MATLAB

SQL

Data engineering

Analytical skills

Bilingual English/Spanish

Education

Master’s degree

Bachelor’s degree

Tools

Python

R

SAS

MATLAB

SQL databases

Job description

Kelly Services is looking for a Senior Data Engineer | Scientist to design, build, and deploy scalable data solutions that support business intelligence, advanced analytics, and operational excellence. In this onsite role in Juncos, Puerto Rico, you will translate business requirements into technical solutions while working alongside cross-functional stakeholders.

Role includes collaborating with teams to implement data pipelines, leveraging Python, R, SAS, MATLAB, and SQL to enable data-driven