External Data Specialist Jobs

Data Quality Systems Intern Description - Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain , remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program until June–July 2027 . Data Quality Systems Intern HP’s Take Back organization supports the responsible collection, recovery, and recycling of products at the end of their useful life. Reliable product data is essential to this mission, enabling accurate regulatory reporting, effective operational decisions, and strong collaboration with internal teams and external partners. We are looking for a motivated student to join our team and help improve the quality, completeness, and consistency of product information across our databases. The intern will contribute to validating master data, identifying gaps or discrepancies, supporting corrective actions with stakeholders, and exploring automated solutions that make data checks more efficient and scalable. This internship offers the opportunity to combine analytical thinking, technology, and sustainability in an international environment. The successful candidate will gain practical experience with data collection processes, databases, and automation while helping the Take Back organization strengthen data reliability and audit rea

Job Details: Job Description: The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful. The Business Analyst- Data Center Systems supports the strategy and strategic programs function for Intel's Data Center Systems and Solutions team. Reporting to the Director of Strategic Programs, this role keeps the team's strategic work moving, compiling the data, running the logistics, and producing the first drafts that senior leaders build on. The work spans systems strategy, customer engagements, executive reviews, and cross-group programs across DCG, and it will not always arrive in a predictable order. We are looking for someone who is comfortable handling a mix of planned and unplanned requests, can switch between domains quickly, and takes ownership of getting each task to done. This is a growth role. You will start by running the logistics around the work and, as you build context, move toward contributing directly to analysis and strategy. Depending on your strengths and interests, you will have the opportunity to go deeper in areas such as systems strategy, market and competitive analysis, customer programs, or business planning. Responsibilities: Compile and analyze data from internal and external sou

We're building a new generation of data center CPUs at NVIDIA — Vera, Grace, and future designs purpose-built for accelerated computing and the workloads defining infrastructure. Data analytics is one of the highest-value arenas for CPU performance, and we need someone to own NVIDIA's strategy and value proposition there! This role sits at the nexus of go-to-market, software architecture, platform architecture, performance measurement, and competitive positioning — making it a true workload strategy role, not a benchmark-running one. From TPC-H and TPC-DS methodologies to collaborative solutions with the world's leading database and analytics vendors, the scope is broad and the impact is real. We're looking for a product manager who deeply understands how CPUs win in practice and can turn that insight into roadmap decisions, customer proof points, and field-ready positioning. What you'll be doing: Taking responsibility for the workload and market approach for data analytics and data processing on NVIDIA data center CPUs — identifying priority workloads, customer scenarios, and the benchmarks and proof points that should guide the roadmap. Leading the complete lifecycle of benchmarks like TPC-H and TPC-DS: methodology, cluster and benchmarking architecture, competitive analysis, and market positioning. Translating disk, cache, memory, I/O, clustering, availability, and software behavior into concrete CPU, platform, and system requirements. Then advising architecture and platform teams on what to build and why. Building the quantitative value proposition across performance, infrastructure, software licensing, power, and TCO to position NVIDIA CPUs against challenging architectures. Working alongside external ISVs, database and analytics vendors, cloud providers, and strategic customers to verify requirements and build joint solutions and go-to-market approaches. Redefining ben

A Career with Point72's Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. The Data Strategy team within Market Intelligence takes a research-oriented and strategic approach to discovering new avenues of insight, manages the inflow of compliant data into our team’s process, and is responsible for managing effective and efficient data and research partnerships on behalf of the firm. What You’ll Do As a Data Sourcing and Strategy Operations analyst, you will collaborate with our team, colleagues across the firm, and external vendors to provide essential support required to source data and conduct research that may ultimately be used by our investment teams. Specifically, you will: • Assist the Data Sourcing and Strategy team in managing relationships with data and research providers, including facilitating requested service changes, ensuring internal use of services follows the firm’s contracts and obligations, and staying current on the evolving data market • Help manage the team’s operations workflow by working closely with Legal, Compliance, Finance, and other internal stakeholders • Maintain and manage the Data Sourcing and Strategy knowledgebase by developing an understanding of system architecture • Develop strong internal relationsh

DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for talented engineers to help us develop a 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers. About the Team Data Platform’s Data User Experience Engineering builds the products every DoorDash employee uses to answer questions with data. That portfolio includes our AI first reporting and authoring surface,Conversational analytics with AI, Semantic and Knowledge layer along with MCP and skills layer plus the full stack infrastructure that lets users and agents reach all of it. Our users span analysts, engineers, operators, and executives across DoorDash, Wolt, and Deliveroo, on a warehouse and OLAP footprint that includes Snowflake,Spark and Clickhouse. The team is a mix of engineers who have built AI & Data platforms and products at scale. About the Role You will own the full path from a question to an answer an operator can put in a deck without checking it twice. The BI reporting surfaces are converging, and deciding what that convergence looks like while someone is authoring, building a report, writing a query, asking why a number moved, or asking for the chart they were about to build by hand. You’re excited about this opportunity because you will… Ship agentic analytics features to thousands of users where a wrong number is a real business decision made badly, and accuracy is the product Build a data platform for authoring, dashboard runtime, drill-down and cross-filter semantics, scheduling and alerting, content certification and permissions, and the embedding path that puts the same components in front of external users Streaming large result sets to the browser, rendering dozens of interdependent tiles. Build the AI experience inside that platform: agent-assisted query authoring, generated charts and widgets held to the same governance as hand-built ones Evolve the semantic laye

We're Tibber - the energy company that wants you to use less energy. When you join Tibber, you'll be part of building the tech that creates a real shift in how people consume electricity - good for our users, their wallets and the planet. We believe AI is how we accelerate that shift, and it's our people who lead it. The more we lean into AI, the more human judgment, curiosity and creativity matter. We’re looking for a Data Engineer to join us in making the energy transition happen – maybe that’s you? Job Mission 🚀 In the Data team at Tibber, you’ll be a vital part of Tibber’s mission to empower the clever, using data and technology to make it easier for our customers to make smarter energy choices. We’re already well ahead with agentic analytics. Our AI agents have answered thousands of questions from colleagues, with grounded answers built on our certified data. We also deliver analytical insights straight to our customers. As a Data Engineer , you’ll take this further. You’ll shape how Tibber’s analytical data is modelled, governed and delivered so that employees, internal agents and customers can all trust the answers they get. What you'll do ✅ Build agentic framework for data analysis that let colleagues ask questions in plain language and get correct, well-grounded answers. Serve analytical data to employees internal agents and external customers through well-defined interfaces (semantic layers, APIs and MCP servers), with the right access controls in place. Build and maintain scalable, robust, and efficient data pipelines in a modern cloud environment, ensuring our platform reliably supports growing data demands. Design and develop data ingestion and processing frameworks that streamline the flow of information, delivering timely and accurate data to power insights. Own and evolve the infrastructure behind our data platform, leveraging emerging technologies to bolster stability, performance, and cost-effectiveness. Lean in and take ownership beyond what’s as

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Partnership Manager is the primary strategic and business point of contact for a portfolio of Plaid’s largest Financial Institution partners. This includes owning the end-to-end strategy and execution of core business goals with a financial institution, as well as building relationships with stakeholders, partnering with Technical Leads to pitch new solutions and act as advocate, and liaison with Plaid Product, Legal, Policy, Go-To-Market, and Engineering teams. Responsibilities Lead multiple strategic relationships with our largest financial institution partners. Create and own the priorities and strategy for our engagement with FIs. Partner with teams internally and externally to execute on this strategy and goals. Cultivate and deepen relationships with key stakeholders within financial institutions. Help partner with and support FIs on their digital transformation journey. Be an expert on Plaid’s technology and product offerings; work closely with influence internal and external product and engineering teams to execute on product roadmaps and advocate for open finance solutions. Help define our strategy for transforming Plaid’s position in the financial services industry.

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Part of the broader Addepar Data organisation, you will be the primary authority on the operational administration and integrity of market data. This is a transformative leadership mandate: we are looking for an architect to take full ownership of the role, build the team, and evolve our market data operations into a best-in-class function that supports $9T+ in platform assets. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Build & Transform: You are responsible for designing the roadmap for Market Data operations. You will lead, train, and mentor a high-performing team, turning the function into a centre of excellence that balances technical integrity with commercial agility. Mentorship: Actively upskill the team in complex licensing frameworks and data observability, ensuring every team member is an expert in the "Addepar way" of data management. Ownership: Take end-to-end accountability for the "who, what, and how" of data access, ensuring we stay ahead of audit requirements and vendor evolutions. Access Architecture: Manage and audit user access to market data (internal and external ben

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace team at Lyft is responsible for accelerating the growth of the business while simultaneously delivering on key business and financial metrics, and Dynamic Pricing & Offer Selection is an integral part of that. Our team is the dynamic pricing team responsible for leveraging both real-time and historical data to set prices for every single ride at Lyft while balancing prices and ETAs to better serve our riders’ needs. We are looking for fast learning, data-driven individuals who are passionate about tackling these open-ended problems in pricing theory and making a large, positive impact in the business. In this role, you will work closely with Product and Engineering on a cross-functional team to prototype and build end-to-end dynamic pricing models that can operate at scale. In addition, you will be expected to leverage your domain knowledge and influence existing and future roadmaps to help Lyft continue to deliver a better experience for riders and drivers. Responsibilities: Partner with other scientists, colleagues in the pricing team, and with external teams to formalize problems mathematically and within the business context Perform complex data analysis to gain a deeper understanding of problems by identifying their root causes Develop and fit statistical, machine learning, or optimization models Write production code; collaborate with Software Engineers to ship models to production Design and implement both simulated and live experiments Analyze experimental and observational data; facilitate launch decisions Communicate findings to a broad audience consisting of Product, Engineering, and executive leadership Experience: Data Scientist with experience in Machine Learning, Statistics, Economics, or other quantitative fields M.S. or Ph.D. in Computer Science, Economics, Statis

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. What’s the role? Job Title: CX Apprentice - Data Reports to: CX Analytics and Performance Director Apprenticeship: Data Analyst Level 4 Duration: 12-18 months, subject to learner progress + End Point Assessment Role Purpose To support the Customer Service department in turning core operational data into clear, actionable insight — covering everything from divisional headcount and budgets through to CS performance metrics, carrier claims and returns — helping the business understand performance and identify where the customer experience can be improved. Key Responsibilities Support core CS operational performance reporting across the department, including divisional headcount, budgets and key performance metrics such as CSAT and APH. Collect, clean and validate data from multiple internal and external sources across CX/CS operations, including carrier claims, returns (e.g. ZigZag), post-dispatch communications and customer contact systems. Build and maintain dashboards and reports (e.g. Power BI) tracking department-wide CS metrics, from workforce and budget data to claims and returns performance. Write and run SQL queries to extract and manipulate data from relational databases in support of departmental reporting. Identify trends and patterns across headcount, budget, claims, returns and delivery data, flagging root causes and opportunities for improvement. Support CS leadership and wider teams with ad hoc analysis to inform decision-making, resourcing

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. Architect and deliver AI-enabled PLM solutions using MCP, GenAI, AI agents, and enterprise integration patterns. Drive automation, knowledge discovery, data insights, and workflow optimization while ensuring secure, scalable, and governed AI adoption. Responsibilities: Work with the PLM and Enterprise Product solution leadership team, to define strategy and roadmaps. Define software standards across the Teamcenter PLM solutions, and develop close partnership and collaboration with business team members. Work alongside external IT teams and come up with solution architecture collaboration/alignment across several project teams. Deliver designs, mock-ups, and software solutions based on the Siemens PLM Teamcenter (Tc) application. Design, implement, and support PLM solutions involving multiple Bill of Materials (BOM) types (e.g., BOI, BOP, BOE), ensuring alignment with complex business and manufacturing requirements. Lead and support data migration, system cutover, and launch activities for large Teamcenter implementations, coordinating closely with multi-functional IT and business teams. Minimum Qualifications: We require a Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field. Applicants must have 5+ years of experience as an IT Solution Architect passionate about PLM solutions. Hands-on experience delivering at least three medium to large Siemens Teamcenter implementations, with res

We’re looking for a hands-on Data Center Engineer to help us test, standardize, maintain, and improve server and network hardware for our globally distributed trading infrastructure. The role combines lab validation with hardware lifecycle operations: maintenance planning, coordinating onsite work with providers/contractors, ensuring quality execution and maintaining inventory. Travel will be required for deployments or complex troubleshooting. What You’ll be doing Test and compare server and networking hardware configurations (performance, stability, compatibility) Own hardware acceptance: burn-in checks, firmware/BIOS baselines, and “known-good” configs Plan and coordinate hardware maintenance and upgrades across sites (schedules, checklists, validation steps) Work together with onsite providers/contractors to execute installations and maintenance; review evidence and ensure quality Produce clear documentation: test results, approved SKUs, configuration standards, and maintenance runbooks Help troubleshoot hardware issues and support spares/RMA decisions Maintain inventory documentation What we look for in you: Solid understanding of server hardware basics (CPU/RAM/storage, NICs, firmware/BIOS, FPGA) and networking fundamentals Basic Linux skills for testing/benchmarking Accuracy and high level of attention to details Ability and willingness to solve problems in non standard way Structured troubleshooting mindset Comfortable coordinating work with external parties and driving tasks to completion. Able to document results and make recommendations based on data Willingness to travel internationally from time to time Nice-to-Have: Bare-metal fleet experience or lab/burn-in testing background Optics/cabling validation knowledge Experience with vendor/procurement coordination (RMAs, substitutions, lead times) Why should you join our team? Exciting challenges with ample opportunities for personal and professional growth A welcoming international team of highly qualified

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. What you'll do: Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads Support the development of scalable data infrastructure using Python and cloud-based technologies Integrate and manage data from multiple sources, including internal systems and external APIs Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations Learn and apply data engineering best practices including data governance, security, and performance optimization Required Skills and Experience: Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms Hands-on experience writing SQL for data analysis and working with relational database concepts Familiarity with cloud platforms (AWS, GCP, o

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 Director of Data Engineering to join our team. This is a Hybrid (Ramat Gan) role, reporting to the VP Engineering - Lakehouse in the Exposure Management & Security Operations department. In this role, you will lead multiple data engineering teams driving the strategy, architecture, and operation of a high-scale, multi-tenant cybersecurity data platform. What you’ll do (Role Expectations) Manage and mentor engineering managers and technical leads while aligning platform strategy with company goals and cross-functional partners Engineer, maintain, and scale core data pipelines and data platform infrastructure, designing reliable ETL and ELT flows across databases, APIs, event streams, business systems, and data lakes Oversee platform reliability, cost optimization, CI/CD pipelines, and enterprise-grade observability Build scalable data solutions for internal teams as well as external, user