2027 Data Engineering & Analytics Program

The RRS Group; San Francisco (CA); On-site; USD 46,149 - 63,025; Part time

Benefits offered by this job

Mentorship from experienced data professionals

Opportunity to build a portfolio of impactful data projects

Financial wellness programs

Job summary

The RRS Group in San Francisco is seeking a Data Engineering & Analytics Intern. In this role, you will collaborate with machine learning experts and product managers to address complex business challenges and transform raw data into actionable insights.

You will assist in building scalable data pipelines, support data processing tasks, and contribute to data visualization. This internship offers real-world exposure and mentorship, making it an excellent opportunity for students pursuing careers in data engineering.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s program relevant to data engineering or data science.
• Minimum GPA of 3.0 or higher.
• Foundational knowledge of SQL and Python.

Responsibilities

• Assist in building and maintaining scalable data pipelines.
• Work with SQL to extract, clean, and transform large datasets.
• Contribute to dashboard development and data visualization efforts.

Skills

Analytical thinking

Problem solving

Curiosity-driven mindset

Written communication

Verbal communication

Education

Bachelor’s or Master’s program in Data Engineering, Data Science, Data Management, or Computer Science

Tools

SQL

Python

Power BI

Tableau

Git

Job description

• Intern
• Compensation: USD 33.5 - USD 45.75 - hourly

Company Description

The RRS Group, and its affiliated entities (collectively, “RRS”) have provided real estate development and related services to investment-grade clients for decades. Our expertise encompasses site acquisition, architectural design, and development management for commercial office and industrial properties.

Through an integrated service model, RRS delivers comprehensive enterprise solutions that address every phase of the building lifecycle. In addition to technical excellence, we offer strategic consulting in marketing, financial planning, and facility management ensuring that every project achieves its highest potential in performance, value, and sustainability.

Commitment to Community

For over two decades, RRS has maintained a strong commitment to the communities we serve. This commitment is further advanced through the RRS Making Lives Better Foundation, which provides meaningful support and resources to individuals and families in need. The Foundation reflects our belief that corporate success carries a responsibility to contribute positively to society and to improve the quality of life in the regions where we operate.

Our Core Values

Integrity | doing the right thing when no one is watching and acting with uncompromising honesty.We believe in maintaining lasting relationships based on honesty, consistency and the highest ethical standards. This creates credibility in our personal and professional relationships.

Caring | showing concern, empathy and compassion for others, ourselves, and our environment.Our care shows itself in our commitment to “safety first” in all we do. We encourage each other to be the best and hold each other accountable. We help those in need, contribute to the communities in which we work and develop creative ways to be responsible with our resources.

Integration | working unselfishly toward common goals across disciplines, teams, departments and regions.Our collective contributions are greater than our skills. We will be transparent and understand each other’s expertise to provide the most value when delivering our services to one another and our clients.

Innovation | developing new ideas and applying the solutions that differentiate us in valuable ways.We are not comfortable with the status quo. We remain accountable for continuous improvements in our results because we do not consider innovation an end in itself. We maintain an environment where we foster new ideas and encourage changes that help us improve.

If you share these core values, we have the right opportunity for you

Job Description

As a Data Engineering & Analytics Intern, you will collaborate closely with machine learning experts, technologists, product managers, and other informatics analysts to address complex business challenges. Your role involves identifying relevant data to collect and, together with technologists, devising methods to extract this information. You will transform raw data into actionable business insights, explore various data visualization and summation techniques to communicate key findings in applied analytics, and ensure adherence to best practices for capturing design notes, deliverables, methodologies, and solution development activities. Thorough documentation will support traceability and troubleshooting. You are also encouraged to draw upon your classroom experiences to offer innovative, out-of-the-box recommendations.

The internship is designed for students interested in applied experience in Data Engineering and Data Analytics.

Key Responsibilities

• Assist in building and maintaining scalable data pipelines (ETL/ELT processes)
• Work with SQL to extract, clean, and transform large datasets
• Support Python-based data processing, automation, and reporting tasks
• Contribute to dashboard development and data visualization efforts
• Perform data validation to ensure accuracy, consistency, and integrity
• Collaborate with engineers, analysts, and business stakeholders
• Identify patterns, anomalies, and opportunities for data improvements
• Document workflows, datasets, and technical processes

What You Will Gain

• Real‑world experience working with production‑level data systems
• Exposure to modern data engineering and analytics workflows
• Collaboration with cross‑functional technical and business teams
• Mentorship from experienced data professionals
• Opportunity to build a portfolio of impactful data projects

Qualifications

Required Qualifications

• Currently enrolled in a Bachelor’s or Master’s program in:
  • Data Engineering
  • Data Science
  • Data Management
  • Computer Science or related field
• Minimum GPA: 3.0 or higher (required)
• Foundational knowledge of SQL and Python
• Strong analytical thinking and problem‑solving skills
• Excellent written and verbal communication skills in English
• Curiosity‑driven mindset with ability to identify and frame problems

Preferred Qualifications

• Experience with data visualization tools (Power BI, Tableau, Looker)
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Exposure to data warehouses (Snowflake, BigQuery, Redshift)
• Understanding of basic statistics or data modeling concepts
• Experience using Git or version control systems

Additional Information

What can you expect from us:

• Opportunities to learn and develop every day through a wide range of programs.
• Internal digital platforms that promote self‑learning.
• Development programs according to Leadership skills.
• Specialized training according to the role.
• Learning experiences with internal and external providers.
• We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others.
• Financial wellness programs that will help you reach your goals in all stages of life.
• A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
• And because your family is also important to us, they can also enjoy benefits such as our WellnessLine, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

Work Hours:Varying depending on the needs of the global department.

RRS Companyis an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. RRS will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.