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Added 3 mins ago
SL
Senior Data Engineer, Back End Systems (Remote)
ServiceMac, LLC
Remote, United States
- $121,980 to $130,525 USD / year
The Senior Data Engineer designs, builds, and supports the back-end systems that move and process ServiceMac’s operational data. This hands-on role develops SQL database solutions,…
Added 7 mins ago
Manufacturing Engineer I (Onsite - Puerto Rico)
RTX
United States
Collins Aerospace is seeking a Manufacturing Engineer I to support New Product Introduction (NPI) activities within our aerospace manufacturing operations. In this role, you will help…
Added 15 mins ago
Principal Data and Platform Engineer, DGX Cloud
NVIDIA USA
CA
We are seeking a Principal Data & Platform Engineer who can transform complex operational needs into reliable platform services and shared datasets. You will shape the technical approach…
Added 20 mins ago
Forward Deployed Engineer
NinjaTech AI
Mountain View, CA
…their systems, their security constraints, and their messy data. That someone is the Applied AI Engineer. We attach an Applied AI Engineer to every large enterprise account. They embed with…
Added 24 mins ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Build cloud services for real-time video ingestion, APIs, and storage.
Added 31 mins ago
Platform Engineer
Ebates Performance Marketing, Inc.
San Mateo, CA
Designs and manages data schemas and databases (PostgreSQL, MySQL, Redis, Kafka) for efficient storage and retrieval.
Added 38 mins ago
Senior Operational Excellence Process Engineer/Digital Champion
Tamaqua, PA
Location: The Senior Operational Excellence Process Engineer/Digital Champion is an onsite position in Tamaqua, PA with <10% travel required to meet business needs.
Added 42 mins ago
Sr. Technical Marketing Engineer
NetApp
Morrisville, NC
Deep expertise in enterprise infrastructure, including storage and data management, compute, networking, virtualization, Linux, enterprise applications, and databases.
Added 43 mins ago
MLOps Automation Engineer Lead
Huntington National Bank
Charlotte, NC
Our Enterprise Data and Analytics department is growing, and we're looking for an outstanding MLOps Automation Engineer Lead to join our team. At Huntington, this is an opportunity to work…
Added 43 mins ago
Senior Power Management Engineer, Platforms Engineering
Google
Sunnyvale, CA
Experience in power system design, voltage regulation, energy storage, and conversion topologies.
Added 43 mins ago
Technical Solutions Engineer Manager, Infrastructure, Compute, Google Cloud
Google
Kirkland, WA
Experience in troubleshooting and supporting large-scale applications such as web services, data storage, databases, data pipelines, high-performance computing, commerce engines, with…
Added 55 mins ago
Lead Protection and Controls Engineer
Monterra
Remote, United States
Monterra is a new kind of consulting engineering firm specializing in power infrastructure for modular data centers, battery storage, microgrids, onsite generation, and EV charging. Our…
Added 1 hour ago
RH
Data Engineer
Robert Half
Chicago, IL
- $180,000 to $200,000 USD / year
We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago,…
Added 1 hour ago
RU
AI Data Engineer (Python & Azure)
Randstad USA
Redmond, WA
- $76.96 to $85.96 USD / hour
…next-generation operating systems and devices. We are seeking a hands-on Data Pipeline Engineer to design, build, and operate Python-based workflows that transform massive document and text…
Added 1 hour ago
Data Solutions Architect - Data Platform, Data Products & AI-Ready Data
Applied Materials
Santa Clara, CA · Santa Clara
Provide end-to-end architecture and technical leadership across cloud data platforms, Lakehouse, Data Lake, data integration, batch and streaming processing, data storage, transformation,…
Added 1 hour ago
Senior Software Engineer, Platform
NexHealth
San Francisco, CA · Seattle, WA
Keep up with our exponentially growing customer base and associated dataset, scaling our data processing and storage layer from terabytes to petabytes and beyond.
Added 1 hour ago
Software Dev Engineer-II, Route 53 Resolver
Amazon Development Center U.S., Inc.
Seattle, WA · Herndon, VA
…we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have…
Added 1 hour ago
Data Center Chief Engineer - Night
Amazon Data Services, Inc.
Boardman, OR
…we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have…
Added 1 hour ago
Operations Water Chief Engineer , DCEO Water Services
Amazon Data Services, Inc.
Umatilla, OR
…we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have…
Added 1 hour ago
Sr. Java Backend Developer, Server Side Technologies
NetApp, Inc.
San Jose, CA
…delivering an enterprise class NetApp software product. Software Engineer thrives as part of a high-performance team tasked with finding creative solutions to the most profound data…
Added 1 hour ago
O
Senior Core Infrastructure Engineer
Oracle
Austin, TX
- $79,200 to $209,500 USD / year
…operability. Delivers features and load/performance tests; leverages data plane platforms and distributed state tools for high-volume retrieval, storage, and processing; and reviews peers’…
Added 1 hour ago
O
Lead Principal Systems Software Engineer
Oracle
United States
- $146,300 to $306,400 USD / year
Lead resource reclamation, storage-consumption tracking, disaster recovery and cross-datacenter peering integrations with product and operations teams.
Added 1 hour ago
O
Senior Principal Software Engineer, Core Infrastructure
Oracle
Santa Clara, CA · Seattle, WA · Burlington, MA
- $136,500 to $306,400 USD / year
Oracle Cloud Infrastructure (OCI) is seeking a Senior Principal Software Engineer to build a new Data Processing Unit (DPU) platform spanning networking and storage. You will address…
Added 1 hour ago
Data Engineer
Fortis Construction, Inc.
United States
The Data Engineer is responsible for designing, building, and maintaining the infrastructure and systems that support the collection, processing, and storage of data. They work with large…
Added 1 hour ago
Sr. Java Backend Developer, Server Side Technologies
NetApp
San Jose
…delivering an enterprise class NetApp software product. Software Engineer thrives as part of a high-performance team tasked with finding creative solutions to the most profound data…

NVIDIA USA

Principal Data and Platform Engineer, DGX Cloud

CA, United States

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Job details

Experience: More than 16 years of progressively responsible experience developing and operating production software, data platforms, databases, or distributed systems.
Posting language: English
Posted: Nov 9, 2026

Original job description

NVIDIA's DGX Cloud organization is looking for a lead expert in data and platform engineering to guide the building, creation, and management of the DGXC Data Platform. Our group links data across cloud service providers, NVIDIA Cloud Partners, and internal systems. We develop common data functions that assist DGXC teams in publishing, discovering, joining, and using reliable data within operational workflows.

We are seeking a Principal Data & Platform Engineer who can transform complex operational needs into reliable platform services and shared datasets. You will shape the technical approach across ingestion and orchestration, data agreements, quality monitoring, cataloging, and managed access. You will lead delivery and adoption among teams, set production standards, and address technical issues that cross organizational lines.

Your work will reduce repeated integration effort, improve confidence in operational data, and make the platform easier to adopt and operate. Our primary implementation environment is Python, SQL, Databricks, and Spark.

What you'll be doing:

Define the architecture and multiyear technical roadmap, setting system boundaries, shared interfaces, and engineering standards across ingestion, processing, storage, and data serving. Balance immediate operational needs with long term reliability, maintainability, and cost.
Lead delivery across platform engineers, data producers, and consumers. Translate ambiguous requirements into actionable designs and milestones, resolve dependencies, and guide implementation through production adoption.
Build and operate reusable batch and streaming ingestion capabilities for service provider and internal data. Establish supported patterns for APIs, change data capture, streams, database connectors, and files, including orchestration, retries, backfills, and recovery.
Establish shared identifiers, data contracts, consistent modeling, and automated quality and certification capabilities. Partner with source owners to define dataset meaning, keys, supported joins, historical coverage, compatibility, and ownership. Make quality failures actionable and dataset limitations visible to consumers.
Guide cataloging, lineage, and governed access capabilities that help people and AI agents discover datasets, understand their definitions and relationships, and follow approved access procedures.
Make onboarding and operations repeatable through shared libraries, reference implementations, deployment automation, and self service workflows that teams can adopt in their repositories. Measure improvements in onboarding effort, dataset reuse, and manual toil.
Own production readiness and reliability standards, including SLOs, testing, observability, runbooks, rollback, and recovery. Lead critical investigations across pipelines, applications, SQL engines, Spark, storage, networks, and cloud services. Partner with security and infrastructure teams on service identities, least privilege, secrets management, environment isolation, auditability, and upgrades and migrations that preserve data access and production service.
Mentor senior engineers and technical leads, lead design reviews, and resolve technical disagreements through evidence and clear tradeoffs. Partner with leadership on priorities, progress, operational risks, and investment decisions.

What we need to see:

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
More than 16 years of progressively responsible experience developing and operating production software, data platforms, databases, or distributed systems.
A sustained record of defining technical strategy and architecture for shared platforms spanning multiple teams, with accountability for delivery, adoption, and production outcomes. Demonstrated judgment balancing reliability, performance, security, cost, and maintainability through testing and evaluation of alternatives.
Extensive hands on experience with distributed data processing, analytical databases, production ETL, streaming systems, or backend platforms handling substantial data volumes. Strong understanding of dependencies and failure modes across compute, storage, networking, and cloud services.
Strong software engineering fundamentals and production proficiency in Python or another backend or systems language, with the ability and willingness to work primarily in Python and SQL. Experience designing reusable frameworks and personally implementing and debugging critical code paths.
Deep SQL and data modeling expertise, including query execution, incremental processing, schema evolution, and consistency. Experience connecting independently managed systems through shared identifiers, documented relationships, and reliable data contracts, with clear ownership and compatibility standards. Ability to reason about idempotency, replay, late arriving data, partial failure, and correctness across system boundaries.
Experience establishing production practices adopted by multiple teams, including CI/CD, data validation, observability, incident response, secure deployment, and recovery. Demonstrated ability to lead complex production investigations and major migrations, using logs, metrics, traces, query plans, profiles, and controlled experiments to identify root causes and prevent recurrence.
Demonstrated success influencing technical direction across organizational boundaries, aligning engineering and business leaders around shared goals, and developing engineers for broader technical responsibilities.

Ways to stand out from the crowd:

Extensive experience developing and managing Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, or Unity Catalog platforms, including common features applied across engineering teams.
Experience delivering self-service data publishing, cataloging, lineage, data contracts, or certification systems with demonstrated adoption.
Experience combining operational data from various cloud providers and internal systems, including entity resolution, inventory reconciliation, lifecycle history, and coverage measurement.
Experience designing and operating Kafka or comparable streaming systems, including partitioning, consumer behavior, offset management, backpressure, replay, and schema compatibility.
Experience enabling AI agents to discover and use governed data, or building production agentic systems with tool integration, evaluation, permissions, observability, and failure recovery.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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More about this job

Skills

Cataloging
Python
SQL
Databricks
Apache Spark
Computer science
Industrial software
Process data
Data engineering
Debugging
Data modelling
CI/CD
Incident response
PySpark
Unity
Apache Kafka

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