Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • Dexterity

    Staff Data Platform Engineer

    Redwood City, CA, United States

    • Ending Soon

    Location: Redwood City, CA Travel Required: No Job Classification Exempt FT Job Functions: Engineering, Data Reports to: Head of Platform About Dexterity At Dexterity we’re building robotic automation systems to perform pick-place-pack tasks in warehouses. Our end-to-end automation systems use intelligent software to enable human-like dexterity in

    Job Source: Dexterity
  • XPeng Motors

    Staff Data Platform Engineer

    Santa Clara, CA, United States

    XPeng Motors is one of China's leading smart electric vehicle ("EV") company. We design, develop, manufactures and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. W

    Job Source: XPeng Motors
  • NVIDIA

    Staff Streaming Data Engineer, Data Science Platform

    Santa Clara, CA, United States

    We are looking for a Staff Streaming Data Engineer - Data Science Platform. At NVIDIA, we pride ourselves on data-driven decision-making, and the data science team is at the heart of this initiative. We are looking for an excellent Staff Streaming Data engineer with extensive data engineering experience for our data science platform supporting NVID

    Job Source: NVIDIA
  • TikTok

    Data Engineer - Data Platform

    San Jose, CA, United States

    Responsibilities TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to hel

    Job Source: TikTok
  • Kuraray America, Inc.

    Platform Data Engineer

    San Jose, CA, United States

    • Ending Soon

    Location: San Francisco, Seattle, LA or PST Enterprise Data Platform to enable timely, effective and safe sharing of data to multiple engineering, operations and business teams for building world class data products Responsibilities Build data ingestion and processing pipelines to enable data analytics and data science use-cases in areas of dig

    Job Source: Kuraray America, Inc.
  • Joyent

    Data Platform Engineer

    Mountain View, CA, United States

    • Ending Soon

    Data Platform Engineer Mountain View, CA, Hybrid - 3 Days Per Week Job Summary We are looking for a junior to mid level backend engineer who loves to build cloud services — a systems engineer who is comfortable in every stage of the design, implementation, testing, and deployment process. In particular, we are hiring an engineer who can develop

    Job Source: Joyent
  • Onehouse

    Data Platform Engineer (US)

    Sunnyvale, CA, United States

    About Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available

    Job Source: Onehouse
  • OneHouse LLC

    Data Platform Engineer

    Sunnyvale, CA, United States

    About Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available

    Job Source: OneHouse LLC

Staff Data Engineer - Data Platform

Santa Clara, CA, United States

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

As a Staff Data Engineer in our Data Science and Engineering team, you will help design, implement and manage the data platform which powers Tenstorrent’s data engineering and data science workflows, including batch processing, streaming, metadata management, and machine learning. The ideal candidate for this role excels at building software automations running a modern and scalable data infrastructure and its applications. You see the data platform as a product and the data integrations, analytics applications, data science and ML as customers. You highly appreciate the importance of IaC, CI/CD, monitoring and logging, security and documentation to achieve the highest levels of automation, quality and functionality.

Responsibilities

Help envision and build the future of our data platform. You will have a remarkable impact on the overall tech stack we use to process the rich data available at Tenstorrent.

Design and implement end-to-end data pipelines to process batch and streaming data at scale, employing cutting-edge data processing and orchestration methodologies, including distributed computing solutions when applicable.

Lead the integration of a wide range of technologies constituting our data infrastructure. Architect and build new ones when available solutions fall short.

Identify, evolve, and champion data/software engineering best practices.

Help define and implement scalable data governance, security and privacy solutions, including an AI-powered data catalog.

Build automation for CI/CD, IaC and containerization.

Contribute to our data engineering roadmap, working cross-functionally to define priorities.

Experience & Qualifications

Excellent Python programming skills, with a focus on data processing.

Experience designing, managing and optimizing SQL databases and schemas.

Advanced SQL queries and functions programming.

Experience working with no-SQL and time-series databases.

Experience building RESTful APIs.

Proficiency in containerization technologies.

Experience building automated CI/CD pipelines.

Experience working with AWS.

Familiarity with IaC technologies.

Familiarity with gRPC.

Experience deploying front-end data analytics tools.

Experience with distributed processing and querying solutions is a plus.

Comfortable using Agile development methodologies and industry standard software development lifecycle processes (Jira, Git, documentation).

Self-motivated individual with a strong desire to learn, explore, and excel in a fast-paced, innovative environment.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

#J-18808-Ljbffr

Apply

Create Email Alert

Create Email Alert

Email Alert for Staff Data Engineer - Data Platform jobs in Santa Clara, CA, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.