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Data Analytics Engineer Jobs

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Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As a Gong Sales Development Representative, you'll play a key role in generating new business opportunities for the company and be a part of building a world-class sales development organization at a category-defining tech company. RESPONSIBILITIES Raise awareness and generate interest for Gong through cold calling, emails, and social outreach to prospective customers Schedule initial discovery calls for Account Executives Meet or exceed assigned daily activity minimums of 80-100 activities Manage your own book of accounts and set the strategy for effective book management Become a power user of Gong's platform Provide constructive feedback on how to improve effectiveness and efficiency within the SDR role to SDR Managers and Sales Enablement Collaborate with team members to share and learn from best practices QUALIFICATIONS You are located with

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation. Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or equivale

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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

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Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production-grade applications with a stron

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Hark
📍 San Jose• $180K – $450K/yr
6mo ago

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will focus on developing large-scale pretraining systems and foundation models. This includes working across the full stack—from data curation and large-scale training infrastructure to model architecture and optimization. You will play a key role in advancing the core capabilities of our models through pretraining at scale. Responsibilities Drive research and development in large-scale LLM and multimodal pretraining, focusing on improving model capability through better data, scaling, and architecture. Develop and optimize data pipelines for pretraining, including large-scale data curation, filtering, deduplication, and synthetic data generation. Design and implement efficient training strategies for foundation models, including distributed training, scaling laws, and optimization techniques. Build and improve pretraining infrastructure, including training systems, data pipelines, and comp

artificial intelligenceai
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Hark
📍 San Jose• $120K – $300K/yr
6mo ago

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We are looking for a Hardware Test Engineer to build the test infrastructure that ensures our AI-powered devices meet quality, reliability, and performance standards at every stage of development. You will own test strategy from board bring-up through mass production, designing fixtures, writing automation scripts, and defining the criteria that decide whether a product ships. From functional test on the bench to burn-in and stress testing at the factory, you will be the last line of defense before our devices reach users. Responsibilities Test Strategy: Define and own the end-to-end test plan across EVT, DVT, PVT, and production milestones. Fixture Design: Design and develop custom test fixtures (bed-of-nails, pogo pin, cable harness) for PCBA and system-level testing. Test Automation: Write automated test scripts in Python to control instruments, collect data, and generate pass/fail reports. Board Bring-Up: Lead electrical bring-up of new PCBAs, debugging power rails, clocks, interfaces, and peripheral functionality. Reliability Testing: Plan and execute environmental stress tests including thermal cycling, vibration, drop, and accelerated life testing. Production Support: Work with contract manufacturers to deploy and maintain test sta

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DevRev
📍 United Kingdom; Remote, United States• Remote
6mo ago

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. Role Overview We are looking for domain-first, systems-oriented engineers domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy,automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev. As a Solutions Engineer, you will act as a trusted advisortrusted advisor, combining domain expertise, engineering depth, and problem-domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform. You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-real-world automation, intelligence, and agentic workflowsworld automation, intelligence, and agentic workflows. Key Responsibilities Partner with customers to deeply understand domain workflows, systems, and data flows domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments) Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions insights, workflows, and automated actions Build and showcase AI-driven workflows, automations, and agentic us

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Adani Group
📍 Ahmedabad• Full-time
6mo ago

Team Member - Customer Invoicing is responsible for managing the end-to-end customer invoicing process, ensuring accurate data collection, timely invoice generation, tax compliance, and effective customer management. This role focuses on resolving billing disputes, maintaining documentation, enhancing systems, and supporting revenue reconciliation and audits while aligning with organizational goals and standards. Source: Adani Group | Job ID: 48617

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7mo ago

As a Senior NetSuite Consultant at Plative, you will act as a Subject Matter Expert for our growing Field Service Management (FSM) and Manufacturing practice. This is a high-impact, client-facing role designed for a "Consultative Leader," someone who doesn't just apply configurations but actively challenges and advises clients on best practices in logistics and warehouse operations. You will own the project lifecycle from discovery and design, to configuration and UAT. Leading complex FSM implementations and ensuring that complex business processes are translated into scalable NetSuite solutions. Responsibilities: Lead client discovery sessions to map manufacturing and distribution business requirements to NetSuite best practice. Manage and deliver complex NetSuite implementation projects, including solution design and project management. Identify and communicate project limitations, shortcomings, and issues early on, working closely with senior consultants and architects to address and mitigate risks. Execute end-to-end configuration, including complex business logic, custom fields, and workflows. Act as a subject matter expert for manufacturing processes (e.g., Shop Floor, Control, BOM management), distribution workflows (e.g., Pick/Pack/Ship, Demand Planning). Act as a subject matter expert on NetSuite Field Service Management (FSM), designing automated preventive maintenance schedules, warranty tracking workflows, and smart dispatching boards. Guide clients on industry-leading practices for cost accounting, landed costs, preventive maintenance, WIP & Routing, Demand Planning and inventory valuation. Design and lead internal QA and guide client User Acceptance Testing (UAT) to validate system stability and data integrity. Delegate tasks to analysts and guide their development to ensure high-quality project deliverables. Proactively identify and mitigate project risks related to scope, budget, or technical constraints with the project management team. Raise de

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MongoDB
📍 United States• Full-time
7mo ago

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. As a Contract Sourcer on our Talent Discovery team, you will be the pipeline generation engine supporting MongoDB’s most critical positions as they arise across the company, supporting both U.S. and Europe-based roles. Individuals in this function will identify, engage and screen top talent for technical roles, with the potential to expand to support other business units as demand fluctuates. This opportunity is ideal for individuals who embrace change, thrive in a dynamic, ever-evolving environment, and are excited to advance their career in technical recruiting. This is a contracted opportunity for a period of four months. Given the global nature of this role, individuals must be based on the East Coast or open to working East Coast hours. This role is open to fully remote work, as well as hybrid work if the candidate is located near a MongoDB hub office and wants to come in. In this role, you will Support critical GTM, and Sales roles for MongoDB across Europe and North America through strategic passive talent sourcing. Indiv

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OpenAI
📍 San Francisco• Full-time
7mo ago

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

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Mongodb
📍 Denver• Full-time• $160K – $160K/yr
7mo ago

Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” The Opportunity As a Senior Enterprise Account Executive, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We're looking to speak with candidates based in Denver for our hybrid working model. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You’ll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG

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Zscaler
📍 Santa Clara• $154K – $220K/yr
7mo ago

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 200+ public data centers globally and thousands of private sites 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. We are looking for a Sr. Staff Software Development Engineer, Provisioning Platform to join our Zero Trust Exchange department. This is a hybrid position based in San Jose, CA (HQ), reporting to the Sr. Director, Software Development Engineering. The Sr. Staff Software Development Engineer will help architect and build Zscaler’s next-generation Provisioning Platform, powering SKU provisioning, entitlement management, workflow orchestration, subscription lifecycle management, and self-service experiences across Zscaler products. This is a backend-focused platform role requiring strong Java/Spring Boot expertise, distributed systems experience, API-first design, and the ability to build scalable, reliable systems that support both automation and Agentic AI-assisted user experiences. What you’ll do (Role Expectations) Lead the design and development of scalable backend services for provisioning, licensing, entitle

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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 200+ public data centers globally and thousands of private sites 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 Principal Software Engineer to join our team. This is a hybrid role, reporting to the Sr. Director of Software Engineering in the Platform Convergence department. In this role, you will design and scale high-performance backend services to drive the evolution of our converged platform. You will collaborate across teams to build robust distributed systems while mentoring engineers to uphold technical excellence. What you’ll do (Role Expectations) Design and build a low-latency, high-throughput data forwarding plane using Rust and async/await models for efficient service-oriented infrastructure Develop distributed, scalable systems with a heavy 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 performance through deep profiling across kernel-sp

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