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ABOUT THE ROLE: As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base.

YEAR

Twitter

Software Engineer - X Data Engineering

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Key Focuses: As a Big Data Engineer in Tech Enablement, you will: Data Ingestion & Datalake Management: Design, build, deploy, and maintain the data pipelines and systems that make web events available in our datalake and via event streams for various downstream applications to process. To do this, the team builds, maintains, and drives adoption of tools for engineers that aid in data processing, dataset ingestion, dataset discoverability, data pipeline orchestration, data documentation, data analysis, building ML model pipelines, and running experiments.

ZipRecruiter Inc

Software Engineer, Big Data, Tech Enablement

linkup_via_bold

Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus). As a Data Reliability Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources.

PeopleNTech LLC

Data Reliability Engineer

jobdiva

Proven experience designing, deploying, and troubleshooting high availability network infrastructure at global scale, including routers, switches, firewalls, access points and IOT sensors in high-availability configurations. In 6 months, you will: Have led at least one medium-scale network or VPN project end to end, such as a Palo Alto Prisma Access rollout or office network upgrade, and implemented measurable network security improvements.

MongoDB

Senior Network Engineer

The Molecular Intelligence team builds ML and physics-based infrastructure for drug discovery: biophysics workflows, computational chemistry tools, cofolding models, low-data learning systems, simulation workflows, and agent-usable scientific pipelines. You’ll build the provenance system that connects every scientific input, code version, model, run, and result produced across Lila’s simulation, ML, and agent-driven workflows — so a scientist can find a result months later, trace exactly how it was produced, and reuse it without reconstructing it from logs.

Lila Sciences

Research Engineer, Scientific Data & Workflow Infrastructure

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Advanced Embeddings & Generative AI Integration: Leverage LLMs and deep learning models to extract rich contextual and user-level embeddings into the core feature store/serving system, optimizing embedding generation, indexing, and online retrieval for sub-millisecond serving SLAs. High-Performance Feature Engineering & Infrastructure: Architect, build, and maintain low-latency, high-throughput feature pipelines — batch, real-time streaming, and point-in-time correct historical features — to power our real-time bidding systems.

Cognitiv

Senior ML Data Infrastructure Engineer

Our product portfolio includes ZeroFlap (ZF) Active Electrical Cables (AECs) and ZF optical transceivers, OmniConnect memory solutions, and a suite of retimers and DSPs for optical and copper Ethernet and PCIe, all leveraging the PILOT diagnostic and analytics software platform. The ideal candidate brings hands-on enterprise networking experience, strong problem-solving skills, and a proactive mindset to help scale Credo's IT operations reliably and efficiently.

Credo Semiconductor, Inc.

Network Engineer

You will play a key role in designing, improving, and maintaining the robust and scalable code behind the Veza Access Graph, collaborating closely with cross-functional teams to shape the future of our products and deliver exceptional identity and access management experiences to our customers. The combination brings together Veza''s AI-native Access Graph with ServiceNow''s AI Control Tower and agentic workflows, enabling organizations to enforce end-to-end identity security rooted in the principle of least privilege across applications, data, cloud environments, and AI agents.

ServiceNow Inc

Staff Data Platform Software Engineer - veza

We own and operate our own manufacturing, and in our first 12 months we built and shipped 200+ robots to customers in 60+ countries: NVIDIA's GEAR lab (the team behind GR00T), Physical Intelligence (the frontier lab behind pi0), Qualcomm, Toyota, Google, and the robot learning labs at Stanford, MIT, Columbia, CMU, and Georgia Tech. Our handheld data collection system lets people capture high quality demonstration data for training robots to do real tasks, wherever the task actually happens, with no teleoperation rig and no motion capture stage required.

Anvil Robotics

Sr. Software Engineer - Data Collection

As a Data Center Engineer at Etched, you will own the end-to-end lifecycle of our data center and hardware lab environments: from facility selection and rack design, power distribution, networking layout, cabling, hardware management, day-to-day operations, and long-term capacity planning. Youll work directly with the hardware, platform, and software teams to bring Sohu systems online faster, keep them running harder, and push the limits of what dense, high-power AI inference design and manufacturing infrastructure can do.

Etched.ai Inc

Data Center Engineer

As a Data Center Engineer at Etched, you will own the end-to-end lifecycle of our data center and hardware lab environments: from facility selection and rack design, power distribution, networking layout, cabling, hardware management, day-to-day operations, and long-term capacity planning. Architect and implement high-speed networking infrastructure (100G/200G/400G Ethernet) connecting compute nodes, storage, and upstream peering, in coordination with network and platform engineering teams.

Etched

Develop and maintain solution designs and engineering documentation, including rack designs/elevations, BOMs, cabling matrices, patch schedules, network diagrams, implementation workbooks, configuration specifications, and related technical documentation. Apply strong knowledge of physical data center architecture, rack builds, rack integration, structured cabling, fiber/copper connectivity, equipment placement, cable routing, patching, port mappings, cross-connects, labeling, power, and grounding.

Computacenter plc

Senior Data Center Engineer

Deployment team is responsible for supporting new AI data center builds, infrastructure expansions, hardware deployments, cabling validation, and site readiness activities that enable client to grow quickly and reliably. What You'll Add to Client Overall 5+ years with 2+ years of experience deploying, operating, or supporting infrastructure in AI data center including GPU/HPC systems, cloud, lab, networking, or technical operations environments.

AI Data Centre Deployment Engineers

This role focuses on managing bare-metal and cloud based infrastructure, levering and extending our infrastructure-as-code based tooling, analyzing and optimizing performance, helping to plan and execute long term fleet management logistics, capacity planning, and ultimately maintaining operational excellence across distributed data platforms that power analytics across Apple. We partner with both peer SRE teams and several of our world-class software and product engineering teams to support infrastructure reliability, multi-year parallel migrations for Apple properties, as well as the automation, tooling, incident, and process management necessary to ensure smooth 24x7 operations for ADP customers.

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<h3 style="color: #ffffff; font-size: 16px; font-weight: normal;">We bring amazing people together to make amazing things happen.</h3>
<p>We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.</p>
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<h3 style="color: #666666; font-weight: 500;">About Apple</h3>
<p>There’s a place here for every kind of brilliant.
Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.

<a href="https://www.apple.com/jobs/us">Learn more about working at Apple.</a>
</p>
</div>

Apple Inc

Senior Site Reliability Engineer, Apple Data Platform Compute SRE

You'll work closely with analytics, product, and engineering leadership to enable data-driven decision making at scale while building systems that serve millions of users and inform critical business decisions. 10+ years as a data or software engineer with deep expertise in distributed systems, data infrastructure, and high-growth SaaS products at massive scale.

Gamma

Software Engineer, Data Systems

Join profiling data with context from the rest of the system, such as hosts, schedulers, configuration, logs, and storage, ensuring each record carries the necessary identity and dimensions for comparison across jobs, machines, versions, and time. 12+ years of relevant software engineering experience, including delivery and operation of data pipelines, storage systems, analytical services, or comparable software used by others.

<p><strong>Visualize your future . . . We Do</strong><br>
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.</p>

NVIDIA Corp

OTHER

We're hiring a Backend Engineer who will architect and maintain the back-end services and data pipelines that power our platforms - and you'll turn the data flowing through them into the metrics and analysis that guide our decisions. Through our community, research-based content, and programs, we help women and allies build the skills, confidence, and networks they need to reach their full potential.

Lean In

Software Engineer

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You''ll work closely with Cloudflare's SRE (Site Reliability Engineering) team, Network Engineering team, Network Deployment Engineering team and with various vendors and partners (including hardware vendors, datacenter and network providers, and ISPs) to maintain and improve our global infrastructure. Create documentation and manage remote contractors to complete datacenter tasks, working with hardware manufacturers, datacenter and network providers, logistics partners and other service providers in support of our 330+ cities and 125+ countries.

Cloudflare Inc

Data Center Network Operations Engineer

As a Sales Applications Engineer, you will play a pivotal role in driving technical collaboration with a major datacenter customer to secure design wins and ensure successful product integration into production. SMG collaborates with OEMs, distributors, and ecosystem partners to influence product adoption and deliver innovative solutions that support Intel's mission of creating world-changing technology.

Intel Corp

Sales Application Engineer - Data Center

FULL_TIME

Typically requires 3 years of experience in a design engineering role preferably in design of structures in commercial and critical infrastructure environments. Engineering Leadership : Drive impactful solutions in the power industry through expert design, analysis, and cutting-edge building systems.

Data Engineer Jobs in Milpitas, CA

Software Engineer - X Data Engineering Twitter

Software Engineer, Big Data, Tech Enablement ZipRecruiter Inc

Data Reliability Engineer PeopleNTech LLC

Senior Network Engineer MongoDB

Research Engineer, Scientific Data & Workflow Infrastructure Lila Sciences

Senior ML Data Infrastructure Engineer Cognitiv

Network Engineer Credo Semiconductor, Inc.

Staff Data Platform Software Engineer - veza ServiceNow Inc

Sr. Software Engineer - Data Collection Anvil Robotics

Data Center Engineer Etched.ai Inc

Data Center Engineer Etched

Senior Data Center Engineer Computacenter plc

AI Data Centre Deployment Engineers PeopleNTech LLC

Senior Site Reliability Engineer, Apple Data Platform Compute SRE Apple Inc

Software Engineer, Data Systems Gamma

Software Engineer, Data Systems NVIDIA Corp

Software Engineer Lean In

Data Center Network Operations Engineer Cloudflare Inc

Sales Application Engineer - Data Center Intel Corp

Structural Design Engineer - Data Center Mission Critical Enercon Services, Inc.

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