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Weekday Load Builder Jobs in California (NOW HIRING)

This role is for one of the Weekday's clients Salary range: $180k - $250k Experience: 6+ YoE We are ... Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with ...

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

This role is for one of the Weekday's clients Salary range: $180k - $250k Experience: 6+ YoE We are ... Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with ...

Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely ... Experience building, maintaining, and optimizing large-scale ETL/data pipelines. * Ability to work ...

Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely ... Experience building, maintaining, and optimizing large-scale ETL/data pipelines. * Ability to work ...

Days | 5×8 Hours | 8:00 AM-4:30 PM 👥 Patient Load: Up to 25 patients Requirements * Active ... Weekend schedule may include Saturday & Sunday with a weekday off 3411681 Registered Nurse - Case ...

You will help build, operate, and strike live event systems while learning the craft in a fast ... Essential functions Assist with load in, setup, testing, operation, and strike of audio, lighting ...

A/V Tech Assistant

San Diego, CA · On-site

$17.25 - $20/hr

You will help build, operate, and strike live event systems while learning the craft in a fast ... Essential functions * Assist with load in, setup, testing, operation, and strike of audio, lighting ...

A/V Tech Assistant

San Diego, CA · On-site

$17.25/hr

You will help build, operate, and strike live event systems while learning the craft in a fast ... Essential functions • Assist with load in, setup, testing, operation, and strike of audio ...

Be Seen First

... weekdays while setting up incredible, once-in-a-lifetime moments. The Compensation & Bonus ... Pick up the loaded company van from our Daly City location and drive it safely to the proposal site ...

Driver

Santa Clara, CA · On-site

$26.10/hr

Weekdays - overnight shifts. More details will be provided during the interview process. Employment ... Deliver, load, and unloads products, food and/or equipment as requested * May assist in general ...

They must be able to work rotating shifts, including nights, weekdays, weekends, and holidays. Work ... Repair or replace broken or cracked rail and build-up rail, trim weld, grind the surface of rail ...

Track Welder

Oceanside, CA · On-site

$89K - $91K/yr

They must be able to work rotating shifts, including nights, weekdays, weekends, and holidays. Work ... Repair or replace broken or cracked rail and build-up rail, trim weld, grind the surface of rail ...

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Weekday Load Builder information

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Full Stack Engineer

Weekday AI

San Francisco, CA

$180K - $250K/yr

Full-time

Re-posted 2 days ago


Job description

This role is for one of the Weekday's clients

Salary range: $180k - $250k
Experience: 6+ 
YoE
We are seeking an experienced Full Stack Engineer with a strong background in AI-driven application development, Python, TypeScript, and ETL pipelines. The ideal candidate will bring deep technical expertise across the stack, from designing and implementing scalable backend systems to creating intuitive and responsive frontends. You will play a key role in building, integrating, and optimizing systems that process and transform large datasets into actionable insights, leveraging AI technologies to deliver intelligent features.

Requirements

Key Responsibilities
  • End-to-End Development: Design, develop, and deploy high-quality AI-driven web applications, ensuring performance, scalability, and maintainability across both frontend and backend.
  • Backend Engineering: Build robust server-side applications using Python (FastAPI, Flask, or Django), integrating with databases, APIs, and AI/ML models.
  • Frontend Development: Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular), ensuring an exceptional user experience.
  • AI Integration: Collaborate with data scientists to integrate machine learning models into production systems, ensuring seamless data flow and model performance monitoring.
  • ETL Pipeline Development: Design, implement, and optimize ETL processes to efficiently collect, transform, and load large-scale datasets from multiple sources.
  • API Design & Integration: Develop and consume RESTful and GraphQL APIs for communication between services and external systems.
  • Cloud Deployment: Work with AWS, Azure, or GCP to deploy, scale, and monitor applications and ETL pipelines in production environments.
  • Testing & Quality Assurance: Implement automated testing strategies (unit, integration, and end-to-end) to maintain software quality and reliability.
  • Collaboration: Work closely with cross-functional teams including data engineering, AI research, product management, and UX design to deliver impactful features.
  • Continuous Improvement: Stay current with emerging technologies, frameworks, and AI trends to propose innovative solutions and improve development practices.
Required Skills & Qualifications
  • Experience: 6-10 years in full stack development, with at least 2-3 years in AI-driven application projects.
  • Programming Expertise: Strong proficiency in Python for backend/API development and TypeScript for frontend applications.
  • Frameworks: Hands-on experience with Python frameworks (FastAPI, Flask, Django) and TypeScript-based frontend frameworks (React, Angular, or Next.js).
  • ETL & Data Engineering: Proven track record in designing and maintaining ETL pipelines and working with data processing tools (Airflow, dbt, or similar).
  • Databases: Proficiency in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, or similar).
  • AI/ML Integration: Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch, or scikit-learn.
  • Cloud & DevOps: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines, along with cloud services (AWS Lambda, S3, GCP BigQuery, Azure Data Factory).
  • Problem Solving: Strong analytical and troubleshooting skills, with the ability to address technical challenges in complex systems.
  • Collaboration: Excellent communication skills and a track record of working in agile, cross-functional teams.
Preferred Qualifications
  • Prior experience with real-time data processing and streaming technologies (Kafka, Spark).
  • Knowledge of MLOps best practices for model deployment and monitoring.
  • Understanding of data governance, security, and compliance standards.