Data Engineer AVEVA Group LtdData EngineerSan Leandro, CA$89,100–$148,700 / yearThe ideal candidate will have experience developing modern data pipelines, data integration solutions, and data warehousing capabilities, with a strong focus on Microsoft Azure and Azure Synapse Analytics. This position partners closely with data analysts, business stakeholders, and technology teams to ensure data is reliable, accessible, and optimized for both operational and strategic decision-making.
Senior Machine Learning Data Engineer Applied Intuition IncSenior Machine Learning Data EngineerSunnyvale, CA$150,000–$240,000 / yearAs a data engineer experienced in machine learning, you will be responsible for both our edge application which runs perception stacks and our cloud data engine which ingests video data to run the next iteration of the model before we deploy it back down to the edge. We build the means to run models at the edge such as Automatic Target Recognition (ATR) models, then backhaul data to our cloud pipeline that ingests and manages this data to enable the continual improvement of these models.
Senior Data Engineer, Find My Apple IncSenior Data Engineer, Find MyCupertino, CABS in Computer Science, Data Engineering, or related field 10+ years of experience working with large data sets and dimensional data modeling 10+ years of experience with data processing using Spark and SparkSQL Experience with data pipeline orchestration tools Expertise in Java or Scala, and experience with Python Experience with Amazon Web Services, GCP, or Azure Strong communication and collaboration skillsExperience with open table formats such as Delta Lake or Apache Iceberg Experience with Spark on Kubernetes Experience with data quality monitoring and anomaly detection Familiarity with BI/visualization tools (e.g., Superset) Familiarity with privacy-preserving data engineering techniques Experience with machine learning applied to the domain of data engineering and analytics. Innovation and creative problem-solving are at the heart of our team, and we constantly explore new approaches to deliver groundbreaking solutions while collaborating with diverse disciplines across the company, including hardware, software, and privacy, to deliver an exceptional user experience.
Data Engineer - Fully Remote MercorData Engineer - Fully RemoteSan Francisco, CaliforniaRemoteReview model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
NewSr Data Engineer, AIML Apple IncSr Data Engineer, AIMLCupertino, CAIn this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data platforms, and data integration solutions that enable reliable analytics, machine learning, and business intelligence capabilities across the organization. Expertise in ETL/ELT development, event-driven architectures, and working with high-volume datasets using technologies such as Pub/Sub, Dataflow (Apache Beam), and Spark-based processing (Dataproc or equivalent).
Data Engineer- Mountain View, CA Georgia Tek SystemsData Engineer- Mountain View, CAMountain View, CA10+ years of overall experience in data management space and at least 5 years of working in large data sets in a data lake environment: Highly proficient in SQL, Solid understanding of Spark including performance tuning. Strong written and verbal communication and ability to articulate data with the business stake holders - Must have
Customer Data Engineer GridsightCustomer Data EngineerSan Francisco, CaliforniaGridsight runs an AI-forward stack that gives data engineers access to best-in-class tooling across data infrastructure, orchestration, and AI-assisted development, including: Databricks, dbt, Dagster, AWS, and enterprise Claude Code. Lead end-to-end data implementation engagements with utility customers, from running workshops to scope data requirements through to live data flowing in the platform.
Senior Data Engineer MetriportSenior Data EngineerSan Francisco, CaliforniaDay to day, that looks like: Raising the technical bar for our data platform: building on and improving our warehouse, data lake, and ETL/ELT architecture so it scales with patient and customer growth, and helping evaluate the right tools (batch and streaming processing, table formats, orchestration, query engines). Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time: record retrieval that used to take days now takes seconds, and clinicians walk into every appointment with the full patient picture.
Senior Data Engineer Artech LLCSenior Data EngineerPalo Alto, CA$79.58–$82.32 / hourThis role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights. Within Core Data, the Operational Insights team focuses on production environments, turning rich operational and quality signals into trusted data products and metrics that help improve business processes and performance.
Staff Data Engineer MetriportStaff Data EngineerSan Francisco, CaliforniaWe're looking for a data engineering leader who can own our data platform end-to-end: You've designed and operated data platforms at scale, with broad hands-on experience across the ecosystem — distributed processing, lakehouses, warehouses, streaming, orchestration — and people usually come to you for technical guidance. Day to day, that looks like: Setting the technical direction for our data platform: evolving our warehouse, data lake, and ETL/ELT architecture to scale with patient and customer growth, and picking the right tools (batch and streaming processing, table formats, orchestration, query engines).
Lead Data Engineer NunaLead Data EngineerSan Francisco, CaliforniaA genuine interest in improving healthcare alongside an interdisciplinary team 5–10 years of industry experience, including technical leadership of a data platform supporting business operations. We use motivational interviewing to help patients and their families see themselves clearly, design experiments that fit their real lives, and navigate a system that has not historically been on their side.
Senior Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu LtdSenior Data Scientist Engineer - SFL ScientificSan Jose, CA$128,000–$252,500 / yearWorking with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Software Foundation Data & Compute Senior SQA Engineer ASMLSoftware Foundation Data & Compute Senior SQA EngineerSan Jose, CaliforniaAs a technical lead, the individual provides technical direction, drives validation innovation, contributes to design reviews and technical decisions, and mentors engineers within the team. The role focuses on validating new functionality and platform enhancements in areas such as Data Pipelines, Infrastructure Services, MLOps, UI Frameworks, Recipe Management, and related platform components.
Sr. Data Engineer - Services Special Projects Apple IncSr. Data Engineer - Services Special ProjectsCupertino, CAExperience with workflow orchestration tools including Apache Airflow and Beam Experience with AWS: e.g., S3, EMR, Lambda, Glue, Redshift, BigQuery, Kinesis, or similar services Experience with Analytics frameworks including Trino (Presto, BigQuery, Snowflake) Hands-on experience with big data lake architectures Experience with containerization and orchestration (Docker, Kubernetes/EKS) and CI/CD tooling including Jenkins Experience in Python and PySpark Familiarity with graph databases such as TigerGraph Experience building pipelines that process multimodal data (structured and image) and integrate ML model inference - including LLMs and embedding models - for data enrichment and transformation Hands-on experience deploying, serving, and optimizing LLMs or ML models directly in the production, inference runtimes/compilers (ONNX Runtime, TensorRT/TensorRT-LLM), and serving frameworks (Triton, vLLM, TorchServe or similar). Experience tuning batching, KV-cache, and GPU utilization for low-latency, high-throughput real-time inference in a data pipeline Knowledge of data governance principles, data security best practices, and data privacy regulations Experience with data versioning tools and frameworks (e.g., DVC, Delta Lake) Excellent communication skills and a collaborative mindset Experience storing/serving embeddings (e.g., pgvector, Milvus, FAISS).
Data Engineer, Safeguards AnthropicData Engineer, SafeguardsSan Francisco, CAYou'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Senior Data Engineer - Finance Ouraring IncSenior Data Engineer - FinanceSan Francisco, CA$172,550–$203,000 / yearYour primary focus will be building and owning the data infrastructure that powers Oura''s financial data - including revenue, LTV, Corporate Scorecard, and RevOps - ensuring clean, reliable, and timely data for stakeholders across Finance, Sales, and Leadership. While Finance data engineering is your core domain, we expect and actively support our engineers growing into adjacent areas - such as membership, supply chain, or broader platform work - as business needs and individual interests evolve.
Senior ML Engineer, Apple Ray, Apple Data Platform Apple IncSenior ML Engineer, Apple Ray, Apple Data PlatformCupertino, CAIn this hybrid role, you will design and build core components of Apple's unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads. As a Software Engineer with ML background, you will design distributed systems that support large-scale model training, tuning, and inference across heterogeneous compute environments-from bare-metal GPU clusters to cloud-native infrastructure.
Data Engineer MakroTechData EngineerSanta Clara, CaliforniaStrong knowledge of Microsoft SQL Server, including designing, developing, and implementing complex SQL queries, stored procedures, and functions. · Proficient in RESTful Services, Java, Scala, Spring Boot/Play Framework, RDBMS, NoSQL, Python.
Data Analytics Engineer - Apple Services Engineering Apple IncData Analytics Engineer - Apple Services EngineeringCupertino, CAThe Apple Games App is at the forefront of this experience, designed to connect players with incredible games, foster communities, and empower developers to build the next generation of interactive entertainment. You will play a key role in developing analytics solutions tailored specifically for game developers, leveraging your knowledge of the third-party gaming analytics ecosystem to help build best-in-class tools.
Senior Software Engineer, Perception ML Data NuroSenior Software Engineer, Perception ML DataMountain View, CA$193,930–$291,150 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. You'll solve autonomy's hardest data challenges through applied ML and systems rigor: Architect hybrid systems combining deep learning and classical algorithms for scalable data curation and annotation.