Data Curation Associate Jobs

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 . Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. What you'll be doing: Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making. Build, tune, or measure the performance of online and offline ML models and AI systems used across Coinbase. Act as owner for a broad scope of data and metrics, from definitions and core logging to presentation of data visualizations. Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. Maintain a high bar for statistical rigor on your team. Design, execute, and uplevel experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. Ability to in

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Job Title: Data Center Strategy - Edge Available Locations: San Francisco, Austin, Seattle, or New York About the Role We are seeking a new Data Center Strategy team member to improve the quality and unit cost and grow the size and number of our colocation sites/PoPs, and help us understand where on the map Cloudflare’s infrastructure needs to go next. You possess a broad set of contacts across the data center industry and are able to

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical and AI methods to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Develop dashboards, reports, and/or forecasts Ensure the quality of our tracking and data collection Help preserve our culture of fact-based decision making as we scale You have... Pursuing an undergraduate or Masters degree in a quantitative field (e.g., statistics, economics, computer science, math, linguistics, computational social science, ML/AI) with expected graduation in Spring/Summer 2027 Strong understanding of consumer digital products and an interest in applying advanced analytics to business outcomes Previous experience analyzing large datasets and communicating results Skilled in SQL, Python or R, and/or statistical methods to analyze behavioral data Excellent presentation and communication skills Enthusiasm for learning and sharing analytical methods to help grow a collaborative Data Science team and data-forward company culture Able to relocate to Pittsburgh, PA or New York, NY Exceptional candidates will have... Ex

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Communicate and present findings and recommendations to senior management Help preserve our culture of fact-based decision making as we scale You have... Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028 Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data Enthusiasm for learning and sharing analytical methods to h

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. ABOUT THE ROLE: As a Datacenter Operations Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshootin

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. ABOUT THE ROLE: As a Lead Data Center Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshooting and

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. ABOUT THE ROLE: As a Linux Datacenter Operations Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubles

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. ABOUT THE ROLE: As a Senior Linux Data Center Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshoo

Senior Data Scientist [Data] • [Vancouver, BC] We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products. Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. This role is based in our Vancouver 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 the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate b

Location: Doha, Qatar | Practice Area: Data & Analytics | Type: Permanent The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for an experienced Data Architect to lead the design and evolution of enterprise data architectures across complex transformation programmes. The role combines strategic architecture, modern data platform expertise, and technical governance to deliver scalable, secure, and future-ready data solutions. You will work closely with business and technology stakeholders to translate requirements into practical architectural solutions, establish common standards, and guide engineering teams through implementation. What You'll Do Define target-state architectures, data models, domain structures, and integration patterns, ensuring alignment with business objectives, enterprise standards, and non-functional requirements. Design scalable data platforms and solutions leveraging technologies (including but not limited to Snowflake, dbt, and cloud-native services), with a focus on performance, security, resilience, and cost efficiency. Architect modular, microservices-based solutions incorporating REST APIs, API gateways, and modern data ingestion and integration patterns. Establish and promote consistent data modelling, naming conventions, semantic definitions, and data management standards to support interoperability, discoverability, and reuse. Collaborate with stakeholders and engineering teams to translate business and technical requirements into architecture designs, assess source-system integration feasibility, and validate proposed solutions. Lead technical design reviews, assess architectural decisions, dependencies, and risks, and provide practical recommendations to maintain consistency and minimise implementation rework. Facilitate a

Data Engineer (AWS/Databricks) About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Title: Senior Data Engineer (AWS/Databricks) Experience: 5+ Years Location: Pune Interview Process: One mandatory in-person interview round at the client's office in Pune Job Summary We are looking for a highly skilled and experienced Senior Data Engineer (AWS/Databricks) with 5+ years of hands-on experience in designing, developing, and optimizing scalable data engineering solutions. The ideal candidate should have strong expertise in Python, SQL, PySpark, AWS, Databricks, ETL/ELT pipelines, and cloud-based data platforms . The role requires strong technical capabilities in distributed data processing, data modeling, performance optimization, and building ente

Capco France recherche des Data Engineers pour accompagner les acteurs majeurs des services financiers dans la conception et la mise en œuvre de plateformes et solutions data modernes, robustes et évolutives. Au sein de notre Practice Data & Analytics , vous interviendrez sur des projets de transformation à fort impact, de la conception des architectures et pipelines de données jusqu’à leur mise en production et leur optimisation. Ce que vous ferez Concevoir, développer et maintenir des pipelines de données robustes et évolutifs permettant d’ingérer, transformer et mettre à disposition des données issues de sources multiples. Participer à la conception et à l’évolution d’architectures data modernes, notamment dans des environnements Cloud, en tenant compte des enjeux de performance, de sécurité et de scalabilité. Garantir la qualité, la fiabilité et l’observabilité des données grâce à des pratiques de tests, monitoring, documentation et automatisation. Collaborer avec les équipes Data, Cloud, Architecture et métiers afin de transformer les besoins fonctionnels en solutions techniques performantes et maintenables. Utiliser de manière responsable les outils d’IA et d’automatisation approuvés pour accélérer le développement, les tests, la documentation ou l’analyse des incidents, avec revue humaine et respect des standards de sécurité et de gouvernance Ce que nous recherchons Une expérience significative en Data Engineering, minimum 5 ans , avec une bonne maîtrise de Python et SQL et une expérience dans la conception de pipelines de données. Une expérience des technologies et architectures data modernes, ainsi que d’au moins un environnement Cloud tel qu’AWS, Azure ou GCP. Une bonne compréhension des problématiques de modélisation, transformation, qualité et gouvernance des données. Une capacité à collaborer avec des profils techniques et métiers, à résoudre des problématiques complexes et à communiquer clairement les choix techniques. Une curiosité pour les usages

Joining Capco means joining an organization that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and management consultancy dedicated to the financial services industry. We combine innovative thinking with unrivalled industry knowledge, to offer our clients consulting expertise, complex technology and package integration, transformation delivery and managed services to move their organizations forward. We specialize primarily in banking & payments, capital markets, wealth & asset management, insurance and energy We have a collaborative and efficient approach We help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs and enhance controls We serve our clients from 32 offices across the Americas, Europe, and Asia Pacific If creativity and innovation are your passion, then Capco is right for you. You can grow in an inclusive, diverse and collaborative environment. At Capco, we will train and support you to help accelerate your career. The Role As a Finance Data Engineer at Capco, you will work at the intersection of IT, Data and Finance, supporting the evolution of a critical Finance Data Mart used for Business Finance information,

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 Data Engineer II Overview: Mastercard’s Enterprise Credit Risk (ECR) team is seeking a Data Engineer II to design, build, and maintain data platforms and products that support credit decisioning, risk analytics, regulatory reporting, and machine learning initiatives. In this role, you will work with large and complex datasets to develop scalable, reliable, and high-quality data solutions. You will collaborate with engineers, data scientists, risk analytics, and product partners to translate business needs into effective data products and pipelines. This is an opportunity for an engineer to deepen their data engineering expertise while contributing to modern cloud-based platforms and ECR's ongoing data modernization efforts. This is a hybrid role based in O’Fallon, MO, requiring three days per week onsite. Role: • Design, develop, test, and maintain scalable data pipelines, transformations, and datasets supporting ECR products and initiatives. • Build and optimize ETL/ELT workflows using technologies such as SQL, Python, Databricks, and Spark. • Develop and maintain curated data products that support reporting, analytics, credit decisioning, and other business use cases. • Partner with Product, Risk Analytics, Data Science, and Engineering teams to understand requirements and translate them into ef

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