| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Coinbase | New York, NY, United States | $76k - $100k | |||
Zinnia | Remote | $88k - $97k | |||
P2P. org | European Union |
| |||
Bitpanda | Barcelona, Spain | $73k - $115k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Bitgo | Remote | $180k - $210k | |||
Pintu | Remote | $79k - $100k | |||
Gsrmarkets | Remote | $80k - $95k | |||
Copperco | Remote | $105k - $105k | |||
Localcoin | Remote | $75k - $101k | |||
Bitgo | Remote | $95k - $111k | |||
Decentraland | Remote | $84k - $89k | |||
Crypto.com | Hong Kong, Hong Kong | $90k - $109k | |||
Zscaler | Remote | $95k - $110k | |||
Blockworks | New York, NY, United States | $160k - $200k | |||
Bitgo | Remote | $95k - $111k |
Ready to be pushed beyond what you think you’re capable of?
At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.
To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.
Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
This is a 12-week internship during summer 2026.
As a Data Engineer Intern on the Strategy, Execution, & Analytics team, you'll collaborate closely with business partners in product and engineering to identify key opportunities and ensure accurate data interpretation. You'll also work with the analytics engineering team to build scalable analytics models and systems that broaden insights across the company and within our products. We're looking for someone who demonstrates clear communication, a strong drive to execute, and excellent craftsmanship.
What you’ll be doing (ie. job duties):
- Collaborate with analytics engineering to design and implement robust data pipelines, ensuring data integrity and accessibility for analytical and machine learning initiatives.
- Assist in the development and maintenance of scalable data infrastructure, leveraging Python and cloud-based technologies.
- Support senior engineers in integrating and managing data from various sources, including APIs.
- Contribute to the implementation of LLM frameworks, focusing on efficient data flow and state machines.
- Participate in analytical deep dives alongside senior team members to understand and address complex business problems, clearly communicating findings.
- Learn and apply best practices in data engineering, including data governance, security, and performance optimization.
What we look for in you (ie. job requirements):
- Experience or coursework in programming, preferably in Python, with a strong understanding of data structures and algorithms.
- Understanding of data analysis and database concepts, with experience using SQL.
- Familiarity with or strong interest in AI, LLMs, and API integrations.
- Understanding of software architecture principles and a keen interest in furthering this knowledge (in microservices, distributed systems, cloud-native design, etc.).
- An embodiment of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Nice to haves:
- Currently pursuing a degree or certificate in Computer Science, Data Engineering, or a related discipline.
- Exposure to cloud platforms (e.g., AWS, GCP, Azure).
- Eagerness to delve into complex data challenges and contribute to innovative solutions.
Job #: P73387
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility+ benefits (including medical, dental, vision and 401(k)).
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
AI Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.