The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale ...
The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale ...
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Position also requires the following: * 1 year of internship experience in software engineering in ... solutions with the Python programming language; * 1 year of experience in designing and ...
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Intern, Application Engineering (AI2509)
San Jose, CA · On-site +1
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About the Role Verkada is looking for software engineering interns to join our team for an exciting ... Prior internship experience developing and launching products * Familiar with: Python or Golang ...
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Quick apply
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Principal Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)
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Quick apply
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Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern ... Remote Opportunity. Note: Selected candidates will be required to complete fingerprinting at a ...
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Sr. Engineer - Biotech Environment & Sustainability - Remote (JP13584)
Thousand Oaks, CA · Remote
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Principal Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)
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Creative Strategy AI-Tools Product Manager
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Principal Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)
Ontario, CA · On-site +1
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Principal Full Stack Engineer, AI Platform & Agents (US/Canada Hybrid/Remote)
Ontario, CA · On-site +1
TypeScript, Node.js, React, Python, LangChain/LangGraph, MCP/A2A, Rust * AWS (primary), Azure, GCP ... Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries ...
AI Go-To-Market Team Intern
San Francisco, CA · Remote
$17.75 - $23.50/hr
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AI Go-To-Market Team Intern
San Francisco, CA · Remote
$17.75 - $23.50/hr
... engineering beyond basic chat (Claude, OpenAI, or Gemini preferred) * Python and/or Node.js ... Paid internship. Bi-weekly over the 10-week program
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Full-time
Posted 27 days ago
Job description
Key Responsibilities:
• Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.
• Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.
• Optimize and manage data storage systems and ensure high availability, reliability, and performance.
• Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.
• Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly.
• Handle large-scale datasets, ensuring data integrity and consistency across platforms.
• Provide technical expertise and mentorship to junior engineers and stakeholders.
• Implement best practices in data engineering, including version control, testing, and deployment.
• Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.
Requirements:
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 5+ years of hands-on experience in data engineering or related roles.
• Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).
• Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.
• Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.
• Hands-on technical expertise in designing and implementing end-to-end data solutions.
• Familiarity with Generative AI (GenAI) and AI/ML technologies.
What We Offer:
• Enjoy the flexibility to work from the comfort of your home, with no commute hassles.
• Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.
• Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.
• Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.
• Work with state-of-the-art technologies in AI, ML, and data engineering.
• Competitive compensation and ample opportunities for career growth.