Data Integrations Specialist Jobs

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Solutions Engineer Interns work at the intersection of engineering, data and Pinterest’s advertising and revenue ecosystem. They contribute to scoped technical projects that improve tools, workflows, integrations and support experiences for internal teams, advertisers and partners. The role offers exposure to real engineering work, cross-functional collaboration and responsible AI-assisted workflows, including applying judgment and verification to AI-supported work. This is an opportunity for someone who wants to see how technology drives customer and business impact. You’ll partner with engineers, data and analytics specialists, product stakeholders and go-to-market teams; learn how ambiguous operational problems become reliable technical solutions; and gain hands-on experience across coding, debugging, data analysis, automation, documentation

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the role Own the vision, strategy, and detailed product requirements for systems that enable Lab37 to support customers and field-deployed operations at scale. Translate customer, support-agent, and operational insights into a prioritized roadmap spanning self-service, automation, human workflows, case management, triage, and escalation. What you’ll do Own and refine a multi-year customer support systems roadmap: Ground priorities in customer research, support data, operational needs, and Lab37's strategic goals. Design a scalable, tiered support model: Define experiences and handoffs across self-service, automated resolution, frontline support, specialists, and Engineering or Field Service escalation. Build intelligent intake, triage, and routing: Establish the issue taxonomy, severity model, ownership rules, and escalation paths across robotics, KDS, Otter, and related integrations. Create automated and human-assisted support experiences: Deliver knowledge tools, guided diagnostics, agent assistance, and playbooks that recommend next steps and preserve context through every handoff. Connect support workflows to system context: Bring telemetry, logs, configurations, order and integration status, and customer history into the tools used to diagnose and resolve issues. Lead discovery and maintain product artifacts: Author PRDs, service blueprints, user stories, acceptance criteria, and success metrics informed by customers, operators, support agents, and field teams. Define, monitor, and anal

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is evolving the Product Support experience, powered by AI, automation, and integrated systems. The AI Infrastructure & Tooling team helps make that possible by building intelligent, resilient, and integrated solutions that automate workflows, connect systems, and streamline support operations. As a Support Engineer, AI Infrastructure on this team, you'll be the technical execution layer that brings our support tools, customer and account context, internal systems, and AI workflows together. You'll design, build, and operationalize integrations across systems like Decagon, Zendesk, Figma admin tooling, and adjacent Product Support platforms. Your work will help us bring the right context into customer conversations, automate complex workflows, and optimize both the customer and Specialist experience by applying AI where it can meaningfully improve support workflows, quality, and efficiency. This role is ideal for someone who can move from ambiguous support problems to working technical solutions: understanding the workflow, identifying the systems involved, building the integration or automation, validating the data flow, and measuring the impact on customer outcomes and Specialist efficiency. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Build and operationalize AI-powered workflows that improve Product Support experiences for customers and internal support teams Design and maintain integrations across Decag

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is evolving the Product Support experience, powered by AI, automation, and integrated systems. The AI Infrastructure & Tooling team helps make that possible by building intelligent, resilient, and integrated solutions that automate workflows, connect systems, and streamline support operations. As a Support Engineer, AI Infrastructure & Tooling on this team, you'll be the technical execution layer that brings our support tools, customer and account context, internal systems, and AI workflows together. You'll design, build, and operationalize integrations across systems like Decagon, Zendesk, Figma admin tooling, and adjacent Product Support platforms. Your work will help us bring the right context into customer conversations, automate complex workflows, and optimize both the customer and Specialist experience by applying AI where it can meaningfully improve support workflows, quality, and efficiency. This role is ideal for someone who can move from ambiguous support problems to working technical solutions: understanding the workflow, identifying the systems involved, building the integration or automation, validating the data flow, and measuring the impact on customer outcomes and Specialist efficiency. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Build and operationalize AI-powered workflows that improve Product Support experiences for customers and internal support teams Design and maintain integr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Your responsibilities will include, but are not limited to, the following: Assist Process Integration (PI) Engineers to coordinate and trouble shoot daily line issues such as disposition of line deviations and engineering job submissions for analysis. Assist in inline inspection and coordinate non-routine metro/RDA inspection on R&D experiments. Support process flow setup activities for production and the short loop flow. Extract, analyze, and summarize data from SWR and Conversion experiments in a report format and make recommendations to engineering based on the data. Manage wafer shipment logistics between fabs (swap lots and fab-to-fab offloads) for technology transfer and yield learning. Monitor and publish regular updates for priority and WIP lot movements. Monitor key inline/probe/final parametric indices for any deviation and to trigger first level of investigations promptly. Competent in the knowledge and expert usage of Micron’s systems to perform routine operational tasks effectively (Micron Central/DataNav/SPACE etc.). Own or contribute towards activities and projects that improve STC PI operationa

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Your responsibilities will include, but are not limited to, the following: Assist Process Integration (PI) Engineers to coordinate and trouble shoot daily line issues such as disposition of line deviations and engineering job submissions for analysis. Assist in inline inspection and coordinate non-routine metro/RDA inspection on R&D experiments. Support process flow setup activities for production and the short loop flow. Extract, analyze, and summarize data from SWR and Conversion experiments in a report format and make recommendations to engineering based on the data. Manage wafer shipment logistics between fabs (swap lots and fab-to-fab offloads) for technology transfer and yield learning. Monitor and publish regular updates for priority and WIP lot movements. Monitor key inline/probe/final parametric indices for any deviation and to trigger first level of investigations promptly. Competent in the knowledge and expert usage of Micron’s systems to perform routine operational tasks effectively (Micron Central/DataNav/SPACE etc.). Own or contribute towards activities and projects that improve STC PI operationa

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Fab Support organization is at the forefront of innovation, driving excellence in manufacturing, quality, and engineering operations. We are a collaborative team dedicated to developing innovative web-based applications that support our world-class manufacturing operations. We are seeking an ambitious Manufacturing Applications Engineer to join our team in Boise, ID. This opportunity allows you to work alongside manufacturing engineering, data specialists, quality teams and other stakeholders, converting operational requirements into secure, reliable, and user-friendly applications. Your expertise in modern web development and software engineering will help us successfully implement solutions that elevate our manufacturing capabilities. Contributing to projects throughout the software lifecycle, from requirements and design through development, testing, deployment, and sustainment, you will drive cutting-drive Micron-authorized AI enablement into our ways of working to improve productivity, software quality, and decision-making. Responsibilities: Develop and maintain responsive web applications using Angular, TypeScript, HTML, CSS, and Bootstrap. Integrate applications with APIs, databases, and enterprise data services to ensure flawless data and system integration. Translate business requirements into intuitive application workflows and user interfaces, ensuring a world-class user experience. Apply authentication, authorization, role-based access, and data-secu

MDM TechnologyMDM Technology, a company affiliated with Dun & Bradstreet, provides enterprise-grade master data management (MDM) solutions that help organizations create a single, trusted view of business entities. By cleansing, matching, linking, and enriching data, anchored by the global standard D‑U‑N‑S® Number business identifier, MDM Technology enables accurate identity resolution across systems to support analytics, compliance, and AI workflows across industries. Our Master Data Management (MDM) team is seeking two Senior Data Analysts to play a key role in modernizing our data ecosystem. The successful candidates will support strategic initiatives to eliminate dependencies on mainframe-based data sources while preserving existing data structures and quality standards. They will also help drive innovative approaches to data sharing, integration, and delivery, enabling our clients to leverage Dun & Bradstreet's AI-ready Commercial Graph data. About the Role: As a Senior Data Analyst within our MDM organization, you will support enterprise-wide data modernization initiatives focused on improving data quality, governance, lineage, and integration. You will partner with engineering, product, and business stakeholders to ensure high-quality data assets are delivered to both internal and external customers. What’s on Offer at MDM Ireland 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day) Holiday buy & sell (the option to buy or sell up to 5 additional days per year) Flexible working - hybrid model Employee Health Insurance Mental Health Support program Pension Contribution Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement) Life Assurance Educational Assistance Program Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle

ROLE: The Market Data Solutions Specialist will play a critical role in managing and optimizing Point72’s market data ecosystem, serving as the primary bridge between external data providers, internal stakeholders, and technical teams. This individual will ensure that market data feeds, licensing, and policies are aligned with the firm’s trading and investment objectives, while maintaining strict adherence to governance and compliance standards. The ideal candidate will combine strong relationship management skills, operational discipline, technical proficiency, and strategic vision to ensure that Point72’s market data environment supports global investment activities effectively and efficiently. RESPONSIBILITIES: Build and Manage External Relationships: Build and maintain strong partnerships with exchanges, vendors, and feed providers; negotiate favorable agreements; and monitor changes in service, policy, and product offerings. Enhance Internal Collaboration: Partner closely with Investment Teams, Compliance, Legal, Finance, and Technology to manage day-to-day market data requests, operational processes, and governance adherence. Identify and communicate the impact of exchange and vendor changes on trading workflows, infrastructure, and data strategy. Oversee Operations & Compliance: Administer market data feed permissions, manage exchange audits, and ensure the firm’s data access and usage is compliant with licensing agreements; monitor and analyze data notifications and policy changes to maintain operational readiness and governance. Drive Technical Implementation: Collaborate with Technology teams to collaborate testing and integration of real-time data feeds; lead cross-functional projects to improve data infrastructure, efficiency, reliability, and cost-effectiveness. Provide Strategic Insights & Governance: Monitor industry trends, risks, and opportunities; contribute to the firm’s market data strategy; and ensure compliance with evolving data

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 Specialist, Payroll Implementation & Integration-1 Position Summary The Senior Specialist, Payroll Implementation & Integration supports strategic payroll initiatives, including mergers and acquisitions (M&A), P&C Modernization programs, system implementations, and process improvement efforts. This role serves as a key execution resource responsible for coordinating testing activities, validating payroll and employee data, supporting implementation readiness, and assisting with solution deployments across payroll operations. Key Responsibilities M&A Integration Execution Support • Support payroll workstreams during mergers, acquisitions, divestitures, and organizational restructures. • Assist with payroll integration planning and execution activities. • Coordinate employee data collection, validation, and migration activities. • Prepare implementation documentation and integration trackers. • Support payroll readiness assessments and integration milestones. • Execute project tasks, risks, issues, and action items. • Assist in stabilization activities following acquisitions. P&C Modernization Implementation Support • Participate in payroll-related activities supporting Workday and P&C Modernization initiatives. • Support configuration validation

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 Specialist, Payroll Implementation & Integration-2 Position Summary The Senior Specialist, Payroll Implementation & Integration supports strategic payroll initiatives, including mergers and acquisitions (M&A), P&C Modernization programs, system implementations, and process improvement efforts. This role serves as a key execution resource responsible for coordinating testing activities, validating payroll and employee data, supporting implementation readiness, and assisting with solution deployments across payroll operations. Key Responsibilities M&A Integration Execution Support • Support payroll workstreams during mergers, acquisitions, divestitures, and organizational restructures. • Assist with payroll integration planning and execution activities. • Coordinate employee data collection, validation, and migration activities. • Prepare implementation documentation and integration trackers. • Support payroll readiness assessments and integration milestones. • Execute project tasks, risks, issues, and action items. • Assist in stabilization activities following acquisitions. P&C Modernization Implementation Support • Participate in payroll-related activities supporting Workday and P&C Modernization initiatives. • Support configuration validation

Sr. Specialist - Business Data Services Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description As MDG-M and Core MD System integration FE, this role is responsible for the following:

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology's vision is to transform how the world uses information to enrich life. Our commitment to people, innovation, tenacity, collaboration, and customer focus enables us to deliver industry-leading memory and storage solutions with integrity, accountability, and professionalism. As part of Micron's Enterprise Master Data (EMD) – Material team, the Senior Data Management Specialist plays a critical role in ensuring high-quality, reliable, and scalable material master data that supports global supply chain operations. Role Overview: In this role, you will own material master data, while also driving transformation initiatives that improve data quality, process efficiency, and system integration across TeamCenter, SAP and adjacent platforms. You will work closely with cross-functional stakeholders (Supply Chain, Engineering, Manufacturing, Procurement, and IT) to design and implement robust, scalable data solutions. Key Responsibilities Manage end-to-end Material Master lifecycle (creation, maintenance, governance, and retirement) across Teamcenter, SAP and integrated systems Ensure adherence to data governance policies, standards, and audit controls within the Material domain Monitor, analyze, and drive improvements in data quality KPIs (accuracy, completeness, consistency) Identify and lead transformation opportunities (automation, standardization, simplification), and drive them through design, build, and deployment Pa

About the Team At Trendyol Core Commerce, we build innovative, data-driven strategies that power sustainable growth and global expansion. From seller experience to new market launches, we turn insights into action—fast. Our cross-functional teams shape the future of commerce with bold ideas, real-time impact, and a deep sense of ownership. In a fast-paced, collaborative environment, we grow together — as individuals and as a team. Key Responsibilities Manage and develop relationships with Tier-A fashion sellers. Lead sellers through onboarding and support their successful integration into the marketplace. Act as the main point of contact for assigned accounts and manage seller needs and expectations. Work closely with the Planning team and relevant internal stakeholders. Identify and resolve seller challenges while maintaining strong commercial relationships. Support seller performance and long-term growth on the platform. Requirements <div data-turn-id-container="request-6ab0e186-cb58-83ed-8530-c166169b3e7b-0" data-is-intersectin

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports depl