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Data Engineer Python And Numpy

San Francisco,CA

690 Data Engineer Python And Numpy jobs in San Francisco,CA

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Electric Distribution Engineer, Asset Strategy Engineering, Senior - Oakland

PG&E Corporation

Oakland, CA 94612

Hybrid~ 23 min

  • A BSEE, MSEE, or PhD in Electrical Engineering from a college or university accredited by the Accreditation Board of Engineering and Technology, or the equivalent from outside the United States.
  • Minimum of seven (7) years of experience in electrical power engineering and design.
  • Having an active status California Professional Engineer (PE) license or master's degree in electrical engineering (MSEE) will credit for one year of experience.
  • A maximum of two (2) years of qualifying experience can be achieved through having both a PE and MSEE.
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New, Posted 6 hours ago
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Sr. Technical Program Manager, Amazon Music Technology

Amazon.com Services LLC

San Francisco, CA 94199

OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of technical product or program management experience
  • 3+ years of software development experience
  • 5+ years of technical program management working directly with software engineering teams experience
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules
  • Experience building and evaluating system-level technical design
  • Experience developing and executing/delivering product and technical roadmaps
  • Experience leading highly technical programs involving infrastructure, complex systems, systems engineering
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New, Posted 3 hours ago
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Manager, AI Engineer

KPMG

San Francisco, CA 94112

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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Senior Substation Project Engineer

PG&E Corporation

Oakland, CA 94612

Hybrid~ 23 min

  • BS Degree in Electrical Engineering from an accredited curriculum in the US or the equivalent from outside the US
  • 8 years of cumulative experience in electrical engineering and design
  • Current California PE license
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New, Posted 20 hours ago
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Associate Specialist, Property Risk Engineering

Travelers

Walnut Creek, CA 94598

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Manager, Salesforce Health Cloud & Agentforce Forward Deployed Engineer

KPMG

San Francisco, CA 94112

OnsiteHealth InsuranceRetirement Benefit

  • Minimum of five years of Salesforce development experience with hands-on expertise in Apex, SOQL, SOSL, LWC, Aura Components, Flows, and Triggers
  • Bachelor's degree from an accredited College or University is required
  • Salesforce Certified Platform Developer I
  • Salesforce Certified Agentforce Specialist
  • Strong understanding of Salesforce Health Cloud data model and features, and experience integrating Salesforce with external systems (HL7/FHIR, EHR/EMR integrations preferred)
  • Proficiency in Salesforce APIs (REST, SOAP, Bulk, Streaming)
  • Experience with Version Control (Git)
  • CI/CD tools (Copado, Gearset, Jenkins, Azure DevOps, etc.)
  • Hands-on proficiency with Agentforce, Prompt Builder, generative AI concepts, and responsible AI delivery is required
  • Experience with Data Cloud, Service Cloud, and Marketing Cloud is strongly preferred
  • Strong knowledge of healthcare compliance (HIPAA, PHI/PII handling)
  • Experience with Salesforce Shield, Event Monitoring, Data Masking, OmniStudio (OmniScripts, Integration Procedures, DataRaptors)
  • Enterprise AI/ML services or external models
  • Agile/Scrum methodologies
  • Strong problem-solving, communication, and stakeholder management skills are preferred
  • Travel as required to support client engagements, team collaboration, and business development activities
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
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New, Posted 20 hours ago
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Unmanned Ground Vehicle (UGV) Systems Engineering SME

QinetiQ

Novato, CA 94947

~ 40 min Onsite

  • Bachelor's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Robotics, Computer Engineering, Aerospace Engineering, or a related technical discipline.
  • 10+ years of experience supporting defense systems engineering programs, including experience with unmanned or robotic systems.
  • Secret Clearance Required; #qinetiqclearedjob
  • Demonstrated knowledge of systems engineering principles across the full system life-cycle.
  • Experience supporting the integration of complex hardware and software systems.
  • Experience with requirements management, interface management, technical reviews, and engineering documentation.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to communicate effectively with government and contractor stakeholders.
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MGR II MANUFACTURING ENGINEERING

TE Connectivity

Redwood City, CA 94061

~ 33 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Engineering required
  • Minimum of 8-12 years of progressive manufacturing engineering experience
  • Minimum of 5 years leading engineering teams in a manufacturing environment
  • Demonstrated experience in manufacturing process development, process validation, automation, equipment design, and industrialization
  • Strong knowledge of Lean Manufacturing, Six Sigma, statistical analysis, and structured problem-solving methodologies
  • Proven experience leading capital projects, equipment implementation, and capacity expansion initiatives
  • Strong project management, prioritization, and resource planning skills
  • Excellent leadership, coaching, and cross-functional collaboration abilities
  • Strong analytical and data-driven decision-making skills
  • Six Sigma Green Belt required; Black Belt preferred
  • Experience with PFMEA, Control Plans, Process Validation, SPC, DOE, and process capability analysis
  • Excellent verbal and written communication skills in English
  • Must be eligible to work under ITAR (International Traffic in Arms Regulations) compliance
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 49 min

  • The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
  • A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
  • Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
  • Programming skills in Python and experience with common data-science and machine-learning libraries.
  • Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
  • Experience with SQL and modern data-processing or data-platform technologies.
  • Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
  • Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.
  • Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
  • Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
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Sr. IT Manager, Global Data and Analytics

Abbott Laboratories

Alameda, CA 94501

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