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Motivate Venture Capital Capital for Very Early Stage High Growth Startups Home About Portfolio Work with us FAQ Investor Login OPPORTUNITIES AT TOMORROW'S GREATEST COMPANIES Search jobs Explore companies Join talent network Talent My job alerts R&D Data Engineering Intern Inca Digital Software Engineering, Data Science Posted on Apr 19, 2026 Apply now Company Info Inca Digital is a Digital Asset Data and Intelligence Company started in 2018. Inca serves clients across national security, intelligence, leading crypto exchanges, large financial institutions, regulators, and law enforcement. Public examples of some of our work include: https://inca.digital/news/ CFTC Selects Inca Digital Federal as Winner of Agency’s First Science Prize Competition U.S. Crypto Traders Evade Offshore Exchange Bans - WSJ Inca operates as a fast paced, nimble, global, and remote technology company. We leverage an asynchronous-first workflow, try to minimize time spent on meetings, and rely heavily on detailed documentation, atomic iterations, and open-debate. We don’t track hours, or care where you work from, as long as timelines are being met and work is being delivered! Our team is composed of some of the smartest people from all over the world with diverse industry backgrounds (such as intelligence, traditional finance, data engineering, IT security, math, biology/chemistry, and investigative journalism) Internship Description We are seeking a capable CSE student to join our R&D team for the summer 2026 term. We require someone who won’t outsource their thought to LLMs, is able to think on their feet and identify actionable insights when ingesting data from numerous sources. To be clear, we value engineers who use tools to accelerate workflows but possess the fundamental knowledge to audit, debug, and validate every line of code generated. R&D is a small and highly collaborative team of engineers and scientists. You will be expected to offer your unique perspective, suggest solutions and propose changes. The work we do on the R&D team requires attention to detail and the ability to learn new skills on the fly. We consume, process, and store various large sources of data in efforts to productize solutions for both our clients and our analysts ( APIs, Dashboards, and Alerts). In doing so, R&D is extremely cross functional and interacts with Inca’s various other teams: Business, Sales, AACE, Investigations, etc. as we work to deliver actionable insights to our clients. What You Will Be Doing: Report to an R&D Data Engineer for task prioritization, development timelines, code reviews, technical guidance, and ongoing mentorship. Contribute to the development and maintenance of existing services and support team members with ad hoc engineering tasks. Proactively research, document, and present technical questions and proposed solutions to the R&D team. Specialized Tracks: We are seeking interns for three distinct tracks. Track 1: Data Engineering Develop and optimize data ingestion and transformation pipelines Integrate and extract insights from external data sources Build robust local tooling with comprehensive error handling and test coverage Track 2: Blockchain OSINT Collect and curate open-source blockchain intelligence Perform data normalization and entity resolution across on-chain and off-chain sources Conduct blockchain forensics and flow-of-funds analysis Track 3: Natural Language Data Processing Support NLP model training, fine-tuning, and evaluation Perform quality control and assurance on labeled datasets and model outputs Identify and validate source materials for training data Types of Skills & Experience We Are Looking For: Proficiency in Python, Go, and SQL Experience with Git workflows and collaborative development on GitHub across multiple repositories Familiarity with CI/CD pipelines, including GitHub Actions Experience working with containerized environments such as Docker and/or Kubernetes Understanding of algorithmic time and space complexity for writing performant code Hands-on experience with relational databases and file storage solutions Experience with data acquisition from databases, flat files, web sources, and APIs Familiarity with web scraping tools such as Beautiful Soup Experience building batch ETL/ELT data pipelines Working knowledge of AWS and cloud computing fundamentals Demonstrated interest in blockchain technology and digital assets Strong technical writing skills with the ability to document complex pipelines for non-technical stakeholders Basic understanding of handling sensitive data and PII Not required, but may prove beneficial : Advanced web scraping with Selenium or Playwright Cloud infrastructure deployment via the AWS console or Terraform (IaC), including services such as S3, RDS, ECS, ECR, and Lambda Hands-on experience creating crypto wallets and executing transactions across blockchain platforms Smart contract development and deployment Knowledge of clustering algorithms and transaction pattern analysis Experience building, testing, and training machine learning models Familiarity with NLP techniques and tooling Neo4j Graph database experience Exposure to additional languages and query tools such as GraphQL, Java, Solidity, Vyper, Bitcoin Script, Cypher, or Splunk SPL Terms: Timeline: 10 weeks (flexible on dates) Compensation: $6,000 Application Deadline: Resumes accepted until May 15, 2026. Optionally send cover letter and resume to nicholas.carnevale@inca.digital Apply now See more open positions at Inca Digital Powered by Getro.com Privacy policy Cookie policy Home About Portfolio FAQ Blog Contact Us Investor Login Copyright © 2021 Motivate Venture Capital {"props":{"pageProps":{"network":{"id":"1021","description":"","domain":"motivate.vc","employerOnboardingSuccessText":"","features":["job_board","advanced_design","dark_hero_text","hide_numbers_in_hero"],"heroColorMask":"#FFFFFF","label":"motivate","legal":{"link":null,"name":"Motivate Venture Capital","email":"pitch@motivate.vc","address":"110 N. 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\u003cp\u003e\u003cstrong\u003eCompany Info\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eInca Digital is a Digital Asset Data and Intelligence Company started in 2018. Inca serves clients across national security, intelligence, leading crypto exchanges, large financial institutions, regulators, and law enforcement. Public examples of some of our work include:\u003c/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003e\u003ca href=\"https://inca.digital/news/\"\u003ehttps://inca.digital/news/\u003c/a\u003e \u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCFTC Selects Inca Digital Federal as Winner of Agency’s First Science Prize Competition\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eU.S. Crypto Traders Evade Offshore Exchange Bans - WSJ\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cp\u003eInca operates as a fast paced, nimble, global, and remote technology company. We leverage an asynchronous-first workflow, try to minimize time spent on meetings, and rely heavily on detailed documentation, atomic iterations, and open-debate. We don’t track hours, or care where you work from, as long as timelines are being met and work is being delivered! Our team is composed of some of the smartest people from all over the world with diverse industry backgrounds (such as intelligence, traditional finance, data engineering, IT security, math, biology/chemistry, and investigative journalism)\u003c/p\u003e \u003cp\u003e\u003cstrong\u003eInternship Description\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eWe are seeking a capable CSE student to join our R\u0026amp;D team for the summer 2026 term. We require someone who won’t outsource their thought to LLMs, is able to think on their feet and identify actionable insights when ingesting data from numerous sources. To be clear, we value engineers who use tools to accelerate workflows but possess the fundamental knowledge to audit, debug, and validate every line of code generated. R\u0026amp;D is a small and highly collaborative team of engineers and scientists. You will be expected to offer your unique perspective, suggest solutions and propose changes. The work we do on the R\u0026amp;D team requires attention to detail and the ability to learn new skills on the fly. We consume, process, and store various large sources of data in efforts to productize solutions for both our clients and our analysts ( APIs, Dashboards, and Alerts). In doing so, R\u0026amp;D is extremely cross functional and interacts with Inca’s various other teams: Business, Sales, AACE, Investigations, etc. as we work to deliver actionable insights to our clients.\u003c/p\u003e \u003cp\u003e\u003cstrong\u003eWhat You Will Be Doing:\u003c/strong\u003e\u003c/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eReport to an R\u0026amp;D Data Engineer for task prioritization, development timelines, code reviews, technical guidance, and ongoing mentorship.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eContribute to the development and maintenance of existing services and support team members with ad hoc engineering tasks.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eProactively research, document, and present technical questions and proposed solutions to the R\u0026amp;D team.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003cstrong\u003eSpecialized Tracks: \u003cem\u003eWe are seeking interns for three distinct tracks.\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e \u003cp\u003eTrack 1: Data Engineering\u003c/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eDevelop and optimize data ingestion and transformation pipelines\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eIntegrate and extract insights from external data sources\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eBuild robust local tooling with comprehensive error handling and test coverage\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cp\u003eTrack 2: Blockchain OSINT\u003c/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eCollect and curate open-source blockchain intelligence\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePerform data normalization and entity resolution across on-chain and off-chain sources\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eConduct blockchain forensics and flow-of-funds analysis\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cp\u003eTrack 3: Natural Language Data Processing\u003c/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eSupport NLP model training, fine-tuning, and evaluation\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ePerform quality control and assurance on labeled datasets and model outputs\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eIdentify and validate source materials for training data\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003cstrong\u003eTypes of Skills \u0026amp; 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