Data Engineering Intern - (Remote)
1 day ago⚠️ Before applying, please carefully review all the job requirements
- Location:
- California, United States
- Experience:
- Pursuing Graduate Degree (Expected graduation Dec 2027 – May 2028)
- Job Type:
- Paid Internship | Remote
- Company:
- RRS Group & Co
- Salary:
- $28 - $33 USD per hour
- Working Hours:
- Varies upon department needs
Key Responsibilities
- ★ Construct, deploy, and manage scalable data pipelines using Python, PySpark, SQL, and related software tools.
- ★ Utilize AI-assisted development tools and coding agents to accelerate pipeline creation and workflow efficiency.
- ★ Write enterprise-grade code to establish repeatable, standardized processes across organizational systems.
- ★ Operationalize data pipelines and enhance overall data accuracy and quality within analytics architectures.
- ★ Work collaboratively with data architects, data engineers, and data science professionals on multi-disciplinary projects.
- ★ Partner with internal business units to support data strategy initiatives, process enhancements, and system performance.
- ★ Draft thorough, accurate, and business-ready technical documentation for engineering workflows.
Required Skills and Qualifications
- ★ Current enrollment in a graduate degree program in Data Engineering, Data Analytics, Computer Science, or a closely related quantitative field.
- ★ Anticipated degree completion date between December 2027 and May 2028.
- ★ Strong quantitative analysis, logical reasoning, and problem-solving capabilities.
- ★ Practical working knowledge of Python, PySpark, SQL, GitHub, and Microsoft Office applications (Excel, Word, PowerPoint).
- ★ Effective written and verbal communication skills with the capability to explain technical concepts clearly.
- ★ Meticulous attention to detail and high accuracy while working under time-sensitive project deadlines.
- ★ Familiarity with Azure DevOps, Slack, Microsoft Teams, Cursor, Claude, or GitHub Copilot is advantageous but not strictly required.
Who May Be a Good Fit for This Role?This role may be suitable for graduate students in data engineering, computer science, or quantitative analytics who are scheduled to graduate between late 2027 and mid-2028. It ideally suits individuals who possess a solid grasp of Python, PySpark, and SQL databases, and who are eager to work with big data infrastructure and modern development tools. Candidates who thrive in collaborative team environments, communicate technical concepts clearly, and maintain strong attention to detail under tight schedules will find this program rewarding. Additionally, students seeking a remote internship with structured learning and flexible working hours across global departments will benefit from this position.
What the Company Offers
- ★ Hourly compensation ranging from $28 to $33 USD.
- ★ Structured internal learning programs and self-paced digital educational platforms.
- ★ Role-specific technical training and leadership skill development initiatives.
- ★ Internal and external professional training opportunities.
- ★ Corporate recognition programs celebrating milestone achievements, behaviors, and leadership.
- ★ Financial wellness resources and flexible scheduling options to support work-life balance.
- ★ Family support benefits including WellnessLine access, discount programs, child scholarships, and life-stage assistance.
Application TipsApplicants may want to highlight technical coursework, academic projects, or research that demonstrates proficiency in Python, PySpark, SQL, and pipeline architecture. Detail-oriented candidates should showcase experience using version control tools like GitHub, as well as familiarity with developer assistance platforms or cloud environments. Highlighting clear written communication capabilities and past experience working in cross-functional team settings can further strengthen a resume. Candidates should ensure their application clearly states their expected graduation date (between December 2027 and May 2028), current graduate degree program, and home location prior to submitting before the September 11, 2026 deadline.
Apply Now: Apply Here
