Senior Data Engineering Manager in United States

We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams. Guide long-term strategy and technical direction for GenAI workflows across APM and related products. Build and benchmark GenAI/ML models using state-of-the-art techniques. Contribute to Datadog’s broader senior engineering community through thought leadership and collaboration on company-wide initiatives. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, sc

We at NVIDIA seek an Senior Developer Relations, Automated Synthetic Chemistry Science Lead who can coordinate science streams. This role exists at the crossroads of experimental science, optimization, analytical characterization, AI modeling, laboratory automation, and data infrastructure. It demands a practitioner with a background in research who can lead interdisciplinary science teams and accelerate experimentation without compromising scientific quality. What you'll be doing: Coordinate the operating plan across research priorities, technical execution, and program achievements. Convert research objectives into experimental priorities, parameter-space development, campaign planning, and success criteria. Lead research initiatives encompassing synthetic chemistry, catalysis, process chemistry, machine learning, automated systems, and data processing. Build standardized experimental traces capturing successful and unsuccessful outcomes, metadata, quality-control signals, analytical summaries. Guide AI systems for feasibility assessment, outcome prediction, optimization, scope exploration, and campaign orchestration. Integrate automated experimentation, analytical data streams, data curation, model retraining, and campaign decisions into a closed-loop operating model. Establish science-stream governance: build reviews, decision logs, risk and dependency tracking, quality thresholds, and paths for addressing blocking issues. Prepare recurring workstream readouts for program leadership, including scientific progress, critical decisions, cross-team dependencies, resource needs, and unresolved risks. What we need to see: PhD (or equivalent experience) with 10+ years of hands-on experience in experimental science, chemical engineering, material science, robotics, a

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity We are looking for an experienced software engineer to join our CI/CD Security Team within our SDLC Security organization. We work at the intersection of security and engineering infrastructure to secure Datadog's continuous integration and continuous delivery systems. Our responsibilities include hardening pipelines, protecting credentials, and enforcing tightly scoped access controls. We also develop authorization and verification mechanisms to ensure that only trusted code and approved processes can reach production. In this role, you will shape and build a new security layer for our CI/CD infrastructure and drive its adoption across the engineering organization. You will solve challenging systems problems around trusted build provenance, secure secret delivery, and real-time policy enforcement at high throughput. The work sits directly in the critical path of software delivery, where strong security guarantees have to coexist with low latency, high reliability, and a seamless developer experience. You’ll join at an ideal time to make a big impact, as the need for robust software supply chain security is higher than ever. Datadog is growing rapidly, and AI-assisted development is increasing both the pace of software delivery and the amount of activity flowing through our CI/CD systems. Securing that scale without slowing engineers down requires strong software engineering fundamentals, thoughtful automation, and security controls designed to operate reliably at high throughput. At Datadog, we pla

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. You will: Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Who You Are: You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs 6+ years of experience Bonus points: You've worked at high scale with systems like Redis, Cassandra, Kafka You wrote your own data pipelines once or twice before You have a strong background in statistics You have significant experience with Go, C, or Python You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualificat

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several t

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Analyst, Analytics & Metrics - Open Finance Overview The Strategic Customer Analytics - Open Finance team serves as a trusted analytics partner to Mastercard's Open Finance clients, helping customers understand performance, identify growth opportunities, and maximize value from Mastercard's data and connectivity solutions. The Senior Analyst, Analytics & Metrics will play a critical role in transforming complex datasets into actionable insights that drive business decisions for both internal and external stakeholders. This role combines advanced analytics, data storytelling, client consulting, and cross-functional collaboration. The successful candidate will partner closely with Customer Success, Product, Engineering, Business Intelligence, and executive leadership teams to develop performance reporting, investigate trends, uncover opportunities, and communicate findings through compelling analyses and presentations. The ideal candidate is highly comfortable working with large datasets, and capable of translating technical concepts into clear business recommendations. They will have opportunities to influence strategic initiatives, support key client relationships, and help shape the future of analytics within Mastercard's Open Finance organization. You will also collaborate closely with

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a skilled and analytical Senior Product Analytics Associate to lead the development and execution of a data-driven product roadmap. The ideal candidate will have a deep understanding of product analytics, strong problem-solving skills, and experience working with cross-functional teams to support strategic initiatives. As a Senior Product Analytics Associate, you will work closely with cross-functional teams including engineering, product, and clinical operations. Roles and Responsibilities: Define, track, and report on product metrics including performance and profitability Build and maintain robust data transformation models using dbt (or similar frameworks like Dataform or SQL-based ETL tools) to ensure analytics-ready datasets Design and interpret A/B tests; when A/B testing is not feasible, apply causal inference methods (e.g., Diff-in-Diff, Propensity Score Matching) to determine product efficacy. Develop ROI projections for analytics projects to prioritize deliverables by business impact Tell compelling stories through data, articulating technical information to a non-technical audience Build and maintain Power BI dashboards to

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Rust Developer to join our Platform Convergence Team. This is a hybrid role based in San Jose, CA reporting to the Sr. Director, Software Engineering. Join us to build a new platform from the ground up that can scale hundreds of millions of users with high reliability and low latency. You will design and implement distributed system and core infrastructure components while collaborating closely with various stakeholders. What you’ll do (Role Expectations) Design and build a low-latency, high-throughput data forwarding plane using Rust, leveraging its async/await model for efficient I/O and service-oriented infrastructure Develop distributed, scalable systems with a focus on concurrency, fault tolerance, and messaging Implement and maintain gRPC-based APIs and services to integrate forwarding plane capabilities with control and orchestration layers Optimize system

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You will build the layer that makes Vanta's data actually useful: a single interpretive layer that reads across every source of truth and makes them queryable, reasoned-over, and genuinely illuminating — for EPD, for GTM, and for anyone in the org trying to understand what's happening and why. The EPD Systems team is building the infrastructure Vanta's engineering, product, and design organization depends on to understand itself. We're constructing three interlocking layers: sources of truth at the foundation, an operating system that makes delivery legible, and the intelligence layer that reasons across all of it. This role owns the intelligence layer — the one that doesn't exist yet. This is a builder role. You will ship working things yourself — prototypes, internal tools, agent workflows. You will not hand specs to someone else and wait. Communication isn't a separate deliverable; it's how you learn what to build. What you’ll do as a Senior Product Builder at Vanta: Build the intelligence layer: a cross-source interpretive layer that reads across Vanta's sources of truth and makes them queryable and reasoned-over by EPD leadership, GTM, and beyond Define what to build: scope the problem yourself, make explicit tradeoffs about what to defer, and own the sequence of what gets built and when Ship working things yourself: prototypes, internal tools, agent workflows — using AI as part of how you work, not what you report on Understand the organization: go to the teams whose decisions this layer will serve — GTM, G&A, EPD — and come back knowing what they can't answer today Catch and address AI-specific quality problems — rel

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. Datadog values peo

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We translate real-world user and operational signals into timely decisions, practical interventions, and improvements to our products and systems. This role will take on new, ambiguous, or underdeveloped operational risks and help mature them into scalable capabilities. We work across USRO and partner closely with Product, Engineering, Data Science, Product Policy, Legal, Safety, Support, and external vendors or partnership stakeholders. About the Role We are seeking a Senior Operations Analyst to take on complex, ambiguous safety and risk problems and turn them into practical operational solutions that can scale. This is a senior individual-contributor role for a versatile operator who is comfortable moving between queues, investigation, analysis, workflow design, hands-on execution, and cross-functional leadership. Depending on team needs, the role may focus on emerging-risk incubation, cloud deployment partnerships, or other new operational areas. You will be expected to move quickly, work hands-on, and create structure without waiting for perfect requirements or a large support team. The work starts with the problem, not a prescribed process. You may investigate unstructured user signals, stand up a lightweight workflow, build an AI-assisted tool, improve an existing operation, or help a new launch become operationally ready. The goal is to produce durable systems that other people can run, not simply complete a series of individual tasks. The portfolio will change with company priorities and may span established harm areas, emerging-risk incubation, cloud deployments and partnerships, device safety, or new product launches. Some hires may focus primarily on cloud deployment operations, including launch readiness, partner coordination, safety workflows, and operational monitoring. You will ty

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Join us at the start of a new era in health care where technology is transforming how and where care is delivered, creating a more connected, effective care experience for all. Our mission at Signify Health is to build trusted relationships to make people healthier. We do this by transforming the home into a health hub through a combination of data, technology & people. We are building a unified technology platform for value-based care that is improving care and reducing spending by treating patients in lower-cost settings and linking providers’ payments to patient outcomes. Signify Health is driving this industry transformation and solving some of the most challenging problems in healthcare – this is where you come in! About the Role As a Senior Software Engineer, you’ll be a key member of a collaborative team responsible for design, delivery and operation of business-critical, distributed systems. We’re looking for technically strong, passionate people with an entrepreneurial spirit to build and sustain innovative solutions. Basic Qualifications 5 years of software development experience. Strong foundation in software engineering: problem solving, data structures, algorithms, patterns, concurrency. Strong understanding and demo

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is seeking a Senior Full Stack Engineer, Agentic AI Platform to join and lead engineering efforts for Lumina, CVS Health's enterprise knowledge and agentic AI platform. The Senior Full Stack Engineer, Agentic AI Platform will provide both technical and people leadership while driving the evolution of a platform that delivers trusted, secure, and governed AI experiences across the enterprise. As a Senior Full Stack Engineer, Agentic AI Platform, you will own the technical direction, architecture, scalability, and operational excellence of Lumina while leading a team of engineers and data scientists responsible for building and supporting the platform. This is a hands-on leadership role requiring active contribution to production code, architectural decision-making, code reviews, and engineering best practices, while simultaneously coaching and developing team members. The Senior Full Stack Engineer, Agentic AI Platform will play a critical role in advancing agentic AI capabilities, retrieval-augmented generation (RAG) systems, Model Context Protocol (MCP) integrations, enterprise search, knowledge ingestion, and AI governance. You will drive platform enhancements that improve retrieval quality, strengthen security and access controls, expand automation capabilities, and ensure the platform remains reliable, observable, and scalable as adoption accelerates across CVS

Manufacturing Engineer (Experienced or Senior) Company: The Boeing Company The Boeing Test and Evaluation (BT&E) Test Operations & Engineering (TO&E) Instrumentation Data System Installation Design team located in Berkeley, MO is seeking Manufacturing Engineers to provision Flight Test Instrumentation hardware on multiple aircraft platforms. On this team, a Manufacturing Engineer (Assembly & Installation) has the primary responsibility for the fabrication and installation of the mechanical and electrical hardware required to install a flight test data system. Design-Build Flight Test Manufacturing Engineers work the entire production cycle from review of engineering, manufacturing plan authorship, fabrication sourcing (inside and outside of Boeing) and detail planning, and continuing on through installation planning and shipside support. Manufacturing Engineers are owners of the build plan and ensure compliance to design configuration, build plan, and process requirements. Manufacturing Engineering performs Design for Manufacturing and Assembly (DFMA) analysis and develops an integrated build plan consisting of work instructions for assembly/fabrication, kitting, tooling, inspection requirements, and other outputs to ensure fabrication meets design, test, and program requirements. BT&E is currently hiring for a broad range of experience levels including Experienced and Senior level Manufacturing Engineers. Position Responsibilities: Synthesis of test hardware & instrumentation requirements in support of flight test Review of design models and drawings, creating/reviewing redlines and coordinating with design to incorporate updates Authorship of manufacturing plans to facilitate build