This role is remote. Key Responsibilities: * Build and maintain data pipelines across Salesforce ... Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake ...
New
This role is remote. Key Responsibilities: * Build and maintain data pipelines across Salesforce ... Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake ...
New
Media Ops & Analytics Intern
OR · Remote
$20 - $22/hr
Experience with marketing analytics platforms, including Google, Adobe, and Snowflake WORK ... This is a fully remote position. COMPENSATION & BENEFITS: Stride, Inc. considers a person ...
Media Ops & Analytics Intern
OR · Remote
$20 - $22/hr
Experience with marketing analytics platforms, including Google, Adobe, and Snowflake WORK ... This is a fully remote position. COMPENSATION & BENEFITS: Stride, Inc. considers a person ...
Intern Remote Snowflake information
What are the key skills and qualifications needed to thrive as an Intern Remote Snowflake, and why are they important?
To thrive as an Intern Remote Snowflake, you generally need a solid foundation in SQL, data warehousing concepts, and programming languages like Python or Java, often supported by coursework in computer science or related fields. Familiarity with the Snowflake cloud data platform, version control systems like Git, and data visualization tools is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating remotely and handling complex data tasks. These skills are essential for efficiently managing, analyzing, and communicating data insights in a distributed work environment.
What are the typical responsibilities and learning opportunities for a Remote Snowflake Intern?
As a Remote Snowflake Intern, you can expect to assist with data modeling, writing SQL queries, optimizing data pipelines, and supporting cloud-based data warehousing projects. You'll often collaborate with data engineers and analysts to understand business requirements and help build scalable data solutions. This role offers a hands-on learning environment where you can gain practical experience with the Snowflake platform, cloud technologies, and best practices in data management. Interns frequently participate in team meetings, contribute to technical documentation, and receive mentorship from experienced professionals, which can be valuable for career growth.
What does an Intern Remote Snowflake do?
An Intern Remote Snowflake typically assists with tasks related to data warehousing and analytics using the Snowflake platform, all while working remotely. Their responsibilities often include supporting database management, running SQL queries, optimizing data pipelines, and helping with data integration projects. They may also assist senior engineers with troubleshooting, documentation, and learning best practices for cloud data solutions. This role is ideal for students or recent graduates seeking hands-on experience with modern data technologies in a flexible, remote environment.
What is the difference between Intern Remote Snowflake vs Intern Remote Data Engineer?
| Aspect | Intern Remote Snowflake | Intern Remote Data Engineer |
|---|---|---|
| Required Credentials | Basic knowledge of Snowflake, SQL, cloud platforms | SQL, data modeling, cloud experience, possibly certifications |
| Work Environment | Remote, cloud-based data platform | Remote, working with data pipelines and infrastructure |
| Industry Usage | Data warehousing, analytics, cloud services | Data processing, ETL, analytics projects |
| Search & Comparison Intent | Focus on Snowflake-specific roles | Broader data engineering roles involving Snowflake |
Intern Remote Snowflake roles typically focus on learning Snowflake's cloud data platform, with minimal prerequisites. Intern Remote Data Engineer roles involve broader data pipeline and infrastructure skills, often requiring knowledge of SQL and data modeling. Both are remote and industry-relevant, but Snowflake internships are more specialized in cloud data warehousing, while data engineering internships cover a wider range of data processing tasks.
What are popular job titles related to Intern Remote Snowflake jobs in Oregon? For Intern Remote Snowflake jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Intern Remote Snowflake jobs in Oregon look for? The top searched job categories for Intern Remote Snowflake jobs in Oregon are:
What cities in Oregon are hiring for Intern Remote Snowflake jobs? Cities in Oregon with the most Intern Remote Snowflake job openings:
Job description
About the role:
We are seeking a motivated AI Intern to join the Data & AI Agent team and help build the data infrastructure, AI agents, and automated workflows that power Armada's go-to-market motion. This is a hands-on role focused on data engineering and applied AI - not traditional ML research. You'll work directly with the Head of Data and AI Agent on the systems that turn fragmented Salesforce, SharePoint, and operational data into a single source of truth, and on the AI-powered tooling (lead scoring, signal intelligence, internal copilots) that runs on top of it.
We are seeking a motivated Intern (unpaid) to join our team. This unpaid internship program is tailored for engineering students seeking to enrich their academic learning with practical, hands-on experience in the field.
Location: This role is remote.
Key Responsibilities:
- Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python.
- Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data.
- Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes.
- Model business data in dbt and Omni - building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on.
- Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR).
- Prototype and ship internal tools end-to-end - backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) - for AI-prioritized daily workflows.
- Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them.
- Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions.
- Stay current on advances in agentic AI, retrieval, evals, and the modern data stack - and bring useful ideas back to the team.
Qualifications:
- Pursuing or recently completed a degree in Computer Science, Data Science, Data Engineering, Information Systems, Analytics, or a related field.
- Strong Python skills, including experience with libraries like Pandas, requests, and FastAPI or Flask.
- Solid SQL skills - able to write and debug analytical queries (joins, window functions, CTEs) against real-world, messy data.
- Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake/BigQuery/Databricks, and a BI tool such as Omni, Tableau, Looker, or Power BI).
- Hands-on experience building something with an LLM API (Claude, OpenAI, etc.) - even a side project counts. Familiarity with prompt design, tool/function calling, or RAG is a strong plus.
- Exposure to workflow automation tools (Power Automate, Zapier, n8n, Airflow, or similar).
- Comfort with Git and basic software engineering practices (branches, PRs, code reviews).
- Strong problem-solving and analytical skills; able to work independently and in a team-oriented environment.
What You'll Gain:
- Hands-on experience working with modern AI, automation, and data engineering tools in a real-world business environment
- Exposure to cutting-edge technologies including LLMs, workflow automation, and cloud data platforms
- The opportunity to build impactful projects used by GTM, RevOps, Finance, and leadership teams
- Mentorship and collaboration with experienced engineers and business leaders
- Practical experience with Python, SQL, dbt, APIs, dashboards, and AI-powered workflows
- A stronger technical portfolio and resume through meaningful, production-focused projects
- Insight into how AI and data systems drive decision-making and operational efficiency in a fast-growing technology company
- Professional development in problem-solving, communication, collaboration, and cross-functional teamwork
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About ArmadaGlobal
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Hunt Valley, MD, US
Year founded
2004