64 real time data engineer jobs at 51 companies in Milpitas, CA
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Principal Data Engineer
San Francisco or Seattle
$197k-$314k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
7+ YOE7+ years data engineering experience; expertise in distributed systems, lakehouse architectures, real-time pipelines; proficiency in Python/Scala/Java and SQL; strong systems architecture and leadership skills.
Data Engineer Self Service Analytics and Real Time Data Platforms (Burbank, CA, US, 91505)
Burbank or San Francisco
$99k-$147k/yrOnsiteFull Time
ParamountNASDAQ: PSKY: Produces and distributes media content across global entertainment platforms.
2+ YOE2+ years data engineering experience building ETL/ELT and streaming pipelines; expert SQL, Python, Spark; experience with Airflow/Composer, Kafka or Pub/Sub, GCP and BI/semantic layers; BS/MS in CS/Engineering or equivalent.
Staff Software Engineer, Real Time Analytics - San Francisco HQ
San Francisco or New York City or Amsterdam
$195k-$265k/yrHybridFull Time
Orb: Billing infrastructure for usage-based and consumption software pricing.
9+ YOE9+ years software engineering experience, deep systems and low-latency reasoning, API and data model design, product instincts, customer-facing collaboration, and ownership of end-to-end products.
PayPalNASDAQ: PYPL: Digital platform for sending money and processing online payments.
10+ YOE10+ years relevant experience and a Bachelor’s degree (or equivalent); deep expertise in databases, data pipelines, messaging, caching, performance and resilience engineering; experience with real-time analytics and AI/ML infrastructure; strong technical leadership and mentoring.
Aalyria: Provides laser communications and networking platforms for aerospace.
3+ YOEBachelor's in EE/controls/CS/physics plus 3+ years developing real-time closed-loop embedded control systems; MATLAB/Simulink and embedded C experience; hardware bring-up, test, and data acquisition; Python/Go/Linux preferred.
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
10+ YOE10+ years relevant experience and Bachelor’s degree or equivalent; deep experience with data platform infrastructure, real-time pipelines, resilience engineering, and mentoring senior engineers.
Bedrock Robotics: Automates heavy construction machinery with AI retrofit kits.
5+ YOE5+ years in data science or applied ML, strong statistics and experimental design, proficiency in Python and SQL, experience with high-volume or real-time data, able to partner with engineering and product teams.
Principal Software Engineer, Real Time Data Enrichment Platform (Hybrid)
New York City or Austin or Sunnyvale or Redmond
$195k-$290k/yrHybridFull Time
CrowdStrikeNASDAQ: CRWD: Provides cloud-native endpoint protection and cybersecurity services.
12+ YOEExtensive experience designing and operating very high-scale data platforms; deep expertise in distributed systems, big-data frameworks, and JVM languages; advanced degree and 12+ years experience preferred.
15+ YOEPhD in Robotics or equivalent experience, 15+ years robotics systems engineering, expertise in robotic control, embedded systems, and deploying real-world robotics solutions.
RTOS, microcontrollers, FPGA, Robot Operating System, TPUs, Vertex AI
BatonNYSE: R: Builds AI software to automate and optimize supply chains.
Advanced Python proficiency, experience with real-time data systems and event-driven pipelines, strong SQL skills, relational modeling, and ability to design/maintain data streaming architectures.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
15+ YOE4+ Mgmt15+ years building data integration and platform solutions; experience with RDBMS and NoSQL, Hadoop/Spark, data modeling, real-time and batch pipelines; leadership of distributed platform teams; strong solution architecture and DevOps knowledge.
Oracle, My SQL, Cassandra, HBase, Hadoop, Spark, DevOps, Web Content Accessibility Guidelines (WCAG) 2.2 AA
GoFundMe: Provides an online platform for personal and nonprofit fundraising.
7+ YOE7+ years building production ML systems; Python and ML libraries; pricing/monetization or growth optimization; real-time model serving; data engineering; ML monitoring; leadership.
E2B: Open-source cloud infrastructure for running autonomous AI agents.
3+ YOE3+ years building production backend services, expertise in Go, API design, PostgreSQL, real-time data flows, TypeScript familiarity, strong ownership and communication.
BDNYSE: BDX: Manufactures medical devices, surgical instruments, and pharmacy automation systems.
12+ YOEBachelor’s in engineering,12+ years systems engineering experience, expertise in real-time control, data pipeline and FPGA processing, optics and fluidics knowledge, regulated design control experience.
RTOS, FPGA, DMA, PCIe, USB 3.0, Gigabit Ethernet, RS232, USB, TCP/IP, CAN bus, SPI, I2C
Causal Labs: Building physics-based causal AI models for predictive weather intelligence.
Experienced engineer able to embed on-site with customers, build data infrastructure and integrations, design and ship AI systems, and adapt quickly to real-world constraints.
Exploration Technology Group: Designs and builds hardware for space and defense missions.
5+ YOE5+ years in IR sensor systems, EO payloads, or space imaging; strong Kalman filtering, tracking, data association; CNNs/ML for real-time embedded inference; MATLAB/Python with production C++ experience.
Kalman filters (EKF, UKF), multi-target tracking, data association (JPDA, MHT), MATLAB, Python, C++, CNNs, embedded FPGA and GPU, radiometric modeling, Monte Carlo, hardware-in-the-loop
Rox: AI-powered revenue operating system with autonomous sales agents.
Experience building and operating production distributed systems, real-time data infrastructure, low-latency decisioning, and agent orchestration; strong reliability, scalability, and debugging skills.
AfterQuery: Curating specialized datasets and environments to train frontier AI models.
3+ YOE3–6 years relevant experience; strong software engineering and applied ML background; experience shipping production systems and working with messy real-world data; strong data intuition and cross-team collaboration skills.