Sr. Data Engineer AllocateSr. Data EngineerPalo Alto, CaliforniaIn this role you will partner closely with our data lead to model core financial entities, integrate internal and external sources, and build the pipelines and infrastructure that let our engineering and product teams make informed decisions and ship compelling features. Contribute to our knowledge graph that models key relationships (investors, funds, companies, etc.) and to the vector database integration that stores embeddings for semantic search and retrieval across our AI agents, models, and providers.
Staff Machine Learning Engineer - Data Lake, Anomaly Detection Zscaler, Inc.Staff Machine Learning Engineer - Data Lake, Anomaly DetectionSan Jose, CA$152,000–$190,000 / yearEvaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
Sales & Data Agent - Work From Home JobconversionSales & Data Agent - Work From HomeSan Francisco, CaliforniaThe Sales Rep position welcomes both experienced Sales Reps as well as Entry Level Sales Reps. Job Conversion, LLC is looking for both experienced and entry level sales reps who are also good at data entry.
Director, Software Engineering - Analytics & Data Coupa SoftwareDirector, Software Engineering - Analytics & DataFoster City, CaliforniaWe offer a comprehensive suite of benefits designed to help you and your family thrive: Global Well-Being Perks (For All Employees Globally) Global Wellness Days: Enjoy two designated, company-wide paid wellness days off each year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together. Proven hands-on experience with skills: Deep technical expertise in big data technologies (e.g., Spark, Kafka, Flink, Delta Lake, Snowflake, Databricks), cloud platforms (AWS, Azure, GCP), and modern data warehousing concepts.
Member of Technical Staff - ML Research Engineer, Data Liquid AIMember of Technical Staff - ML Research Engineer, DataSan Francisco, CaliforniaSpun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We need someone who: Thinks like a researcher, ships like an engineer: We need people who form hypotheses, run experiments, and measure results.
NewLead Data Engineer StellicLead Data EngineerSan Mateo, CaliforniaWe're looking for a Lead Data Engineer to own the next phase of our data platform that will power everything from internal decision-making to customer-facing insights — and we need a technical leader who can evolve it to support increasing scale, complexity, and product integration. As we scale to serve more universities worldwide, we remain deeply committed to this mission, driven by our values, and committed to building a high-performance team that's here to make a lasting difference on both students' lives and higher education.
Senior Flight Test Data Engineer, Loads Archer AviationSenior Flight Test Data Engineer, LoadsSan Jose, CA$144,000–$180,000 / yearAs a Senior Flight Test Loads Data Engineer, you'll sit at the intersection of aircraft loads analysis and flight test operations - designing and operating the systems that capture, process, and validate loads data from our aircraft, and turning that data into actionable structural insights that drive certification and design decisions. Design, configure, and maintain flight test data acquisition system (DAS) software for structural loads measurements, including strain gauges, accelerometers, pressure transducers, and inertial sensors.
Software Engineer - X Data Engineering SpaceXAISoftware Engineer - X Data EngineeringPalo Alto, CA$125,000–$400,000 / yearABOUT 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.
Data Engineer - Finance Weekday AIData Engineer - FinanceSan Francisco, CA$60–$85 / hourYou'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
RE/RS, Data Understanding (MM) OpenAIRE/RS, Data Understanding (MM)San Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance.
Re/Rs, Data Understanding (Mm) OpenAIRe/Rs, Data Understanding (Mm)San Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. You'll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance.
Snowflake Data Architect Avalon Software Services LLCSnowflake Data ArchitectSanta Clara, CAFull timeStrong hands-on experience in data engineering using Snowflake with proven ability to build and optimize large-scale data pipelines. Strong proficiency in administration , including database design, schema management, user roles, permissions, and access control policies.
Data Infrastructure Engineer Glyphic BiotechnologiesData Infrastructure EngineerBerkeley, CaliforniaThis role is about building the connective tissue of a data-intensive biology company: pipelines that reliably transform raw instrument output into clean, queryable datasets; infrastructure that scales with increasing run volume and complexity; and tools that let scientists self-serve on routine analyses. Deploy and maintain data visualization tools (dashboards, interactive browsers) that allow scientists to independently explore sequencing metrics: yields, classification accuracy, plate-level comparisons, signal quality trends.
Software Engineer, Data Infrastructure datologyaiSoftware Engineer, Data InfrastructureRedwood City, CA$180,000–$300,000 / yearTraining on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
Data Infrastructure Engineer Mind RoboticsData Infrastructure EngineerPalo Alto, CaliforniaAs a Data Infrastructure Engineer, you'll build and operate the pipelines that turn raw sensor and demonstration data into training-ready datasets — from ingestion off real robots and capture devices, through processing and quality filtering, to the dataloaders that feed model training. That starts with a data engine: the pipelines and infrastructure that turn raw, messy, multimodal sensor streams from robots and human demonstrations into high-quality, well-curated training data at scale.
Sr. Software Engineer, Data Engineering PoshmarkSr. Software Engineer, Data EngineeringRedwood City, CaliforniaBuild highly scalable, available, fault-tolerant data processing systems using AWS technologies, MapReduce, Hive, Kafka, Spark, Flink and other big data technologies to handle batch and real-time data processing over 10s of terabytes of data ingested every day and a petabyte-sized data warehouse. The role provides opportunity to showcase in-depth software development skills to build and maintain real-time and batch data pipelines with a focus on scalability and optimizations while collaborating with Data Science, Analytics, and Platform Engineering teams to build tools to access petabyte scale data.
NewData Aide Avispa TechnologyData AideStanford, CA$30–$35 / hourA leading university is seeking a Data Aide to support oncology clinical research by managing study data, maintaining research databases, ensuring data accuracy and integrity, collecting, validating, and analyzing research data while supporting regulatory compliance and maintaining high-quality documentation in a fast-paced clinical research environment. High school diploma, GED, or equivalent with approximately 1 year of relevant experience in data management, data entry, clinical research, healthcare, or a related field; equivalent combinations of education and experience will be considered.
Traffic Coordinator (Bay Area) Connoisseur MediaTraffic Coordinator (Bay Area)San Francisco, CaliforniaAs a key member of our operations team, the Traffic Continuity Coordinator helps keep everything running smoothly—meeting tight deadlines, maintaining flawless logs, and supporting both internal teams and clients with reliable, timely information. This position sits at the intersection of programming, sales, and revenue, ensuring that premium advertising inventory is managed with precision, accuracy, and care across multiple radio stations.
AWS AI Engineer / USC and GC Candidates can ONLY Apply Hudson ManpowerAWS AI Engineer / USC and GC Candidates can ONLY ApplySan Jose, CaliforniaRemoteThis role centers on hands-on development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment. You’ll design and deliver scalable, secure services that bring large language models into real operational use—connecting them to live infrastructure data, internal documentation, and system telemetry.
Staff Software Engineer - Infrastructure, Data Platform BatonStaff Software Engineer - Infrastructure, Data PlatformSan Francisco, California$260,000–$350,000 / yearLeveraging your expertise in distributed systems and real-time data processing, you'll mentor engineering teams, shape strategic technical direction, and give the organization a single view of its data across both the Baton and Ryder platforms. Collaborative Stakeholder Engagement: Collaborate closely with both technical and non-technical stakeholders across Baton and Ryder to enhance data-driven decision-making and foster innovative data practices across the organization.