Data Analytics Engineer Jobs

P-1701 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems: from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data + AI platform so our customers can use deep data insights to improve their business. Founded by engineers, we’re customer obsessed, leaping at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As an Engineering Manager on CustomerLake, you will lead the team building Profile Agents, shaping the product, architecture, and engineering foundation behind Databricks’ Customer 360 platform. CustomerLake is Databricks' new Agentic CDP, launched at Data + AI Summit 2026. This is our first move into agentic business applications, offering the data foundation of Marketing built natively into the Databricks Lakehouse. Early traction for this new product has been outstanding. Profile Agents are a key foundation of this product. Building a trustworthy Customer360 has traditionally meant multi-year integration projects and seven or eight figures in professional services just to get a usable golden record. Profile Agents generate the pipelines, matching logic, and identity resolution needed to produce a Customer 360. The product is early and still being defined, so you'll have real say over the product vision, architecture and how the team operates and scales. The impact you will have Own delivery for Profile Agents, from identity resolution and agentic pipeline generation through to production-quality Customer 360 outputs Hire and grow a small, senior team, and build the foundation it scales from as the product moves out of private preview Help set technical direction with product and the VP of Engineering, since much of what "good" looks like he

FEQ427R286 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. Your work with customers will include partnering with hands-on resources. You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI's relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain your peers' respect through your experience, insight, and contributions. Competencies: Experience in establishing virtual teams and leading them to ultimate success within the account. Experience working with very large (> $1m ARR), global accounts. Experience building relati

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Due to the rapid growth and demand for the OneTrust platform, we are hiring a Senior-level UX Designer to join the team. This person will play a key role in improving the usability, design and overall digital experience for a OneTrust Product Offering and support deliverables for other OneTrust modules. This person will also serve as a guide and mentor to junior designers on the team. Your Mission Design: Create deliverables for the entire design process, including information architecture, interface design, interaction design, and low and high-fidelity prototypes UX Metrics: Identify, collect, and analyze data to inform user experience decisions, including web metrics, customer support data, and other sources Standards: Identify, define and promote UX best practices, including templates Promotion: Serve as a UX advocate within the organization You Are You are a strong collaborator and able to effectively communicate with other team members across the organization. You are a self-learner; you enjoy researching and applying relevant UX trends. You are someone who thrives wit

The Product team builds features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. Asana’s ecosystem includes a wide range of powerful apps that extend its capabilities and integrate it seamlessly into our users’ workflows. These apps help establish Asana as the shared collaboration infrastructure our customers use to get things done, spanning the full breadth of domains and departments. The Functional Integrations team in the Platform Area owns integrating Asana with the most valuable function-specific (think Operations, Marketing, or IT) tools, enabling experts on those teams to effectively share and communicate their work to the company as a whole. We’re looking for full-stack engineers who care deeply about customers and are passionate about building products that improve the way millions of teams work together. As a member of the team developing the software of a product-led company, you won’t just code — you will be an integral part of the entire product development process, from conception to post-launch reflection. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. Our employees in Poland are employed under a contract of employment. What you’ll achieve As a full-stack engineer, you get to build and own a broad swath of the product: everything from creating a compelling user interfa

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. Research Analyst (X Corp.; New York, NY): Produce financial and market intelligence by querying data repositories and generating periodic reports. Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions. Analyze the company’s position in the industry and develop relevant strategies to drive revenue. Pull and analyze data to determine the company’s position within the industry while conducting Ad-hoc Client Analyses. Drive clients’ key performance metrics and return on their ad investment through optimization of ad campaigns. Participate in weekly Data Science Center of Action meetings, the purpose of which is consulting on ongoing projects within other teams and knowledge sharing among MI and A analysts. Responsible for providing customized measurement products to key clients. Research products commissioned to external vendors. Represent the company at internal and external events while maintaining significant business relationships with key clients and partners. Telecommuting within the US permitted pursuant to company policy. Refer

Head of Section - Security Automation oversees automating security processes, making data-driven decisions, and implementing group security automation standards at sites in line with the Head Office team. This role enhances security, improves efficiency, and reduces operational costs by leveraging advanced technologies and ensuring compliance. Source: Adani Group | Job ID: 56262

Head of Section - Security Automation oversees automating security processes, making data-driven decisions, and implementing group security automation standards at sites in line with the Head Office team. This role enhances security, improves efficiency, and reduces operational costs by leveraging advanced technologies and ensuring compliance. Source: Adani Group | Job ID: 56262

Role Description Dropbox is looking for a Director of Media to own our total media investment—performance and brand—under a single leader. This leader will build a unified media strategy that brings performance marketing and brand investments together into one investment thesis and one operating model. They will own the media portfolio end-to-end, from upper-funnel brand campaigns through paid search, paid social, programmatic, mobile, and emerging channels, making investment tradeoffs as business priorities evolve. The role also owns how the media organization operates, balancing in-house expertise, agency partnerships, and specialist support to maximize speed, quality, and impact. The ideal candidate has worked on both sides of the industry—building media expertise at an agency before leading media inside a technology or high-growth company. They understand what great agency partnerships look like while also knowing how to build world-class internal capabilities. This role sits at the center of Dropbox's growth strategy, connecting brand, performance marketing, Product Growth, Sales, and Marketing Data Science to drive measurable business outcomes. Responsibilities Unified Media Strategy. Build and own Dropbox's media strategy across brand and performance. Set the annual and quarterly investment thesis, define the channel portfolio, and make the tradeoff decisions on where spend moves and why. Total Budget Ownership. Manage Dropbox's full media investment across paid search, paid social, programmatic, display, video, mobile, affiliate, and brand channels. Own planning, forecasting, pacing, and in-quarter reallocation against efficiency and growth targets. Brand and Performance Integration. Align reach, frequency, creative strategy, and channel mix so brand and performance investment reinforce each other rather than compete. Partner closely with the Brand organization, which owns brand positioning and creative direction, to translate brand strategy into

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge The Enterprise Sales Organization makes up 85% of OneTrust’s Global Sales recurring revenue. As the market changes and products develop, this team is the frontline of customer interaction and success. The EBU Field Enablement Manager is responsible for the continued education and upskilling of the enterprise business, across individual contributors and sales management. Your Mission Design and deliver continued educational programs for enterprise sales reps and sales managers Strategize on key initiatives alongside of Global Sales Strategy and Senior Sales Leadership Team Members Liaise with Product Marketing, Legal, Finance, and Marketing to build and deliver content Gather and relay feedback to continuously refine enablement strategy Leverage enablement data to identify potential knowledge and skill gaps across the sales organization Develop programs for soft skill development Design quarterly enablement calendars for live and self-led enablement Ensure the effective launch and assessment of focused corporate initiatives Collaborate

Senior Compliance Specialist Position Description SingleStore is building a real-time data platform that helps organizations transact, analyze and act on data in a single system. We are committed to operating with strong security, privacy and resilience standards across our products, services and internal operations. We are seeking an experienced and highly motivated Senior Compliance Specialist to help scale our security, privacy and compliance programs. This role will be responsible for maintaining key certifications, driving cross-functional compliance initiatives, overseeing development and management of our privacy program, supporting compliance with the Digital Operational Resilience Act (DORA), and helping mature our Business Continuity Management System (BCMS). The ideal candidate is practical, organized and collaborative, with experience translating regulatory and framework requirements into durable operational processes across technical and business teams. Job Responsibilities Support governance activities across the security, privacy and compliance program, including maintaining Information Security Management System documentation, evidence, policies, procedures and audit trails. Help maintain and improve active certifications and attestations such as ISO/IEC 27001, SOC 2 Type II, HIPAA and PCI DSS, while coordinating with stakeholders across the business to ensure ongoing compliance. Drive readiness efforts for new compliance objectives, certifications and customer-driven assurance requirements. Participate in enterprise risk management activities, including risk methodology, risk assessments, treatment planning and follow-up with risk owners. Oversee the development, implementation and ongoing management of SingleStore’s privacy program in partnership with Legal, Security, IT and business stakeholders. Support compliance with applicable privacy and data protection requirements, including operationalizing controls and processes needed to meet regu

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise

To independently manage defined activities of the Employee Life Cycle Management (ELCM) process, ensuring accurate employee data management, timely generation of employee codes, and effective resolution of employee queries in compliance with HR policies and defined SLAs Source: Adani Group | Job ID: 54613

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Technology, Data and Intelligence Team Message Okta’s Technology, Data and Intelligence (TDI) team delivers the systems, tools, and services that power internal operations across the company. From core infrastructure to enterprise platforms, we partner across functions to drive scale, reliability, and innovation through technology. The Senior Site Reliability Engineer Opportunity Reporting to the Manager, Site Reliability Engineering , this role will help build, improve, and maintain our cloud platform services by designing and implementing complex cloud-based engineering enablement systems. With a strong focus on automation, testing, and operational excellence, you will deliver foundational infrastructure capabilities that enable corporate engineering teams to operate securely, reliably, and at scale. What you'll be doing Secure Cloud Infrastructure & Pipelines: Design, build, and modernize scalable cloud environments and development tools while strictly enforcing security policies and standards for regulated environments. Cross-Functional Collaboration & Advocacy: Partner with software engineering teams to champion DevOps and SRE best practices, deliver excellent internal customer service, and actively contribute to Agile workflows (e.g., demos, architecture sessions). Technical Documentation & Operations: Create and maintain comprehensive technical documentation, including network diagrams, runbooks, and disaster recovery procedures to en

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain: