Data Engineer Intern

United States Digital Space LLC; United States; Hybrid; USD 57,000 - 81,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Engineer Intern for a 12-week summer 2027 program. You will partner with analytics engineering to build and maintain data pipelines powering insights across the company, working with senior engineers and cross-functional partners to ensure data accuracy, scalability, and accessibility for analytics and ML use cases.

You will contribute to data infrastructure using Python, cloud-based technologies, and API integrations, while applying data

Qualifications

• Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms
• Hands-on experience writing SQL for data analysis and working with relational database concepts
• Familiarity with cloud platforms (AWS, GCP, or Azure) and a demonstrated interest in AI, LLMs, or API integrations
• Exposure to software architecture concepts such as microservices, distributed systems, or cloud-native design through coursework or projects
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Responsibilities

• Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads
• Support the development of scalable data infrastructure using Python and cloud-based technologies
• Integrate and manage data from multiple sources, including internal systems and external APIs
• Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations
• Learn and apply data engineering best practices including data governance, security, and performance optimization

Skills

Python

SQL

Cloud platforms

AI/LLMs

Distributed systems

Data engineering

Education

CS/Data Engineering coursework

Job description

Ready to do the most impactful work of your career? Atthe company, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. the company is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”learn more about working at the company.

This is a 12-week internship during summer 2027.

As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across the company. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases.

What you'll do:

• Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads
• Support the development of scalable data infrastructure using Python and cloud-based technologies
• Integrate and manage data from multiple sources, including internal systems and external APIs
• Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations
• Learn and apply data engineering best practices including data governance, security, and performance optimization

Required Skills and Experience:

• Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms
• Hands-on experience writing SQL for data analysis and working with relational database concepts
• Familiarity with cloud platforms (AWS, GCP, or Azure) and a demonstrated interest in AI, LLMs, or API integrations
• Exposure to software architecture concepts such as microservices, distributed systems, or cloud-native design through coursework or projects
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency Notice:

Depending on your work location, the target hourly rate for this position can range as detailed below.

Hourly Rate:

$50-$50 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: the company 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]the company.com.Need screen reading technology? Click here to download a free compatible screen reader and view thetutorial.
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.