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Data Engineer Banking

Santa Clara,CA

877 Data Engineer Banking jobs in Santa Clara,CA

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Paid Engineering Career Research Interview — $50 for 30 Minutes

SolidProfessor

San Jose, CA 95123

RemoteUrgently Hiring

  • 30-minute, one-on-one research interview
  • Recorded for internal research purposes
  • Participants who complete the interview will receive $50 as a thank-you for their time and feedback
  • Currently employed professionals who are not actively looking for a new role
  • Employed professionals who may be open to new opportunities
  • Unemployed or actively searching job seekers
  • Students, recent graduates, and early-career professionals
  • Mid-career professionals
  • Senior and late-career professionals
  • Mechanical engineers
  • CAD designers and drafters
  • Manufacturing, product design, and related engineering professionals
  • Format: One-on-one Zoom interview
  • Length: Approximately 30 minutes
  • Recording: The conversation will be recorded and reviewed internally by the SolidProfessor product team
  • Purpose: Product and market research only
  • Participation does not represent an employment offer, job interview, or guarantee of future employment
  • Your feedback will be used to help SolidProfessor improve its portfolio, assessment, and career-platform experiences
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Sr. Applied Scientist, Sensors, Sensor Algorithms

Amazon.com Services LLC

Sunnyvale, CA 94087

~ 14 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
  • Experience creating novel algorithms and advancing the state of the art
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Senior Full Stack Software Engineer– CAD Infrastructure Team

Qualcomm

Santa Clara, CA 95053

Onsite

  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related field.
  • 8+ years of professional software development experience.
  • Strong experience building and deploying full stack web applications.
  • Expert-level programming skills in Python.
  • Strong experience with JavaScript/TypeScript and Node.js.
  • Experience developing modern front-end applications using React.
  • Experience building REST APIs and microservices.
  • Strong understanding of software design patterns, object-oriented programming, and distributed systems.
  • Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
  • Experience with NoSQL databases such as MongoDB.
  • Experience with Git-based development workflows.
  • Experience working in Linux environments.
  • Strong debugging, performance tuning, and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
  • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 3+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
  • PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 2+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
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Neuron Collectives Software Engineer, Trainium Collectives

Annapurna Labs (U.S.)

Cupertino, CA 95014

New, Posted 18 hours ago
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Physical Design Engineer II (IC)

Arrow Electronics

San Jose, CA 95110

~ 16 min Onsite

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience.
  • 7+ years of hands-on experience in physical design and implementation, encompassing synthesis, PnR, timing convergence and physical verification.
  • Proficiency in utilizing Electronic Design Automation (EDA) tools such as Innovus, Tempus, and Quantus, as well as a deep understanding of physical design flows and methodologies.
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ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Annapurna Labs (U.S.)

Cupertino, CA 95014

New, Posted 18 hours ago
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Signal Integrity Field Applications Engineer - Connectors

iLocatum

Campbell, CA 95011

~ 11 min Onsite

  • Bachelor's or Master's degree in Electrical Engineering or Electronics Engineering
  • 3 to 5 years of experience in consumer electronics, enterprise computing, or high-speed datacom industries
  • Proficiency with ANSYS HFSS or an equivalent 3D FEM solver
  • Experience with high-speed lab equipment
  • Strong understanding of signal integrity concepts, with analytical skills to troubleshoot high-speed systems
  • Experience with high-speed signals up to 224 Gbps
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Data Center Technician

TEKsystems

Alviso, CA 95002

$35-$37/hr
~ 16 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Strong Data Center Operations experience with a focus on troubleshooting and break/fix support.
  • Ability to identify, isolate, and resolve server hardware issues independently.
  • Experience working with enterprise servers, network equipment, and data center infrastructure.
  • Knowledge of firmware upgrades, hardware replacement procedures, and basic server configuration.
  • Familiarity with rack and stack activities, cabling standards, and physical infrastructure deployment.
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NPI Materials Program Manager 4

Oracle

Santa Clara, CA 95051

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 6-10 years of experience in materials management, supply chain operations, manufacturing planning, or related functions.
  • Experience working with contract manufacturers, suppliers, and global manufacturing operations.
  • Strong background in inventory management, production scheduling, materials planning, and supply chain execution.
  • Experience supporting hardware manufacturing, cloud infrastructure, networking, server, or high-tech operations environments preferred.
  • Experience supporting New Product Introduction (NPI) or manufacturing ramp activities preferred.
  • Strong understanding of materials management, manufacturing operations, inventory control, and supply chain planning processes.
  • Experience with ERP, MRP, or supply chain management systems.
  • Analytical mindset with experience developing and managing operational KPIs and performance metrics.
  • Knowledge of manufacturing capacity planning, supplier management, and logistics operations.
  • Ability to manage multiple priorities in a fast-paced, high-growth environment.
  • Strong collaboration and stakeholder management skills.
  • Effective communicator with the ability to drive alignment across cross-functional teams.
  • Proven ability to solve operational challenges using data-driven decision-making.
  • Experience leading teams and influencing without direct authority across global organizations.
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GPU DV Engineer

Qualcomm

Santa Clara, CA 95053

Onsite

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, or related work experience.
SmartExplore AI is experimental.
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