Data Curation Associate Jobs

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform. In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform. In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the

The Data Architect plays a critical role in designing and building foundational data platforms that enable customers to move, organize, and analyze their business data at scale. In this position, you will partner with client team members to architect, implement, and deploy data warehouse solutions across multiple cloud platforms and customer organizations. This position requires deep expertise in medallion layer design, ELT implementation, semantic layer architecture and BI tool integration. You should be able to lead architecture discussions, guide technical execution, and mentor junior engineers. As a senior technical contributor, you will take ownership of complex data warehouse solutions, conduct technical discovery with customers, and ensure scalable, maintainable data architectures. You will act as a trusted technical advisor to both internal teams and customer stakeholders while driving best practices in data design, pipeline development, semantic layer modelling, and BI implementation. Responsibilities Design medallion layer data warehouse schemas (bronze, silver, gold) on Databricks, Redshift, Snowflake and/or BigQuery. Select and implement ELT tools to move data from source systems into the warehouse. You'll evaluate options, configure pipelines, and troubleshoot performance issues. Build and optimize semantic layers on top of the warehouse so analysts and business users can query data without writing SQL. Connect data warehouses to BI platforms (Tableau, Looker, Power BI, or similar) to enable self-service analytics and reporting. Translate business requirements into scalable technical integration architectures and implementation strategies. Facilitate discovery sessions and technical workshops with clients to understand system landscapes, integration requirements, and data flows. Own complex integration solutions from design through deployment, ensuring high performance, scalability, and maintainability. Advise on data governance, quality checks, and cos

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Closing Date 1st November 2026 📍London | 💰 £42,500 pro rata | Data | L10 on the Data Framework Data at Monzo We have over 300 employees in Data at Monzo. Data is at the heart of Monzo's journey and our work defines the success and direction of the business. That means, similar to the rest of Monzo, Data too should be magically simple. We have a strong culture of data-driven decision making across the whole company and use data in everything we do; from machine learning models to detect and block fraudulent payments to analysing how customers use the app to improve our app design. We're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. We contribute to an open source environment as much as possible. Our blog is a good place to learn even more about what we do. Data Interns As a Data intern at Monzo, you’ll be matched with a team where you’ll spend the summer working on a real project for our customers. You’ll have the opportunity to work alongside Data teams to learn more about what Data we analyse and how we use it to solve

MID/SENIOR DATA ENGINEER – CAPCO POLAND We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on innovative AI and automation initiatives for leading financial institutions. At Capco Poland , we’re not just another consultancy – we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we help our clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth – both for our clients and ourselves – and that means attracting talented professionals who want to develop their skills, take ownership, and make a real impact. We’re proud to be: Trailblazers in banking, payments, capital markets, wealth, and asset management Champions of an agile, nimble, and innovative work environment Dedicated to building a team of talented professionals who share our drive and vision THE ROLE We are looking for a strong Mid/Senior Data Engineer to join our growing data engineering team and contribute to building scalable, reliable data solutions for our financial services clients. You will work with modern data technologies and cloud platforms, developing and maintaining data pipelines, processing large datasets, and supporting the delivery of enterprise-scale data solutions. This is a great opportunity for a Data Engineer who already has hands-on commercial experience and wants to further develop their expertise in Python, Apache Spark, Hadoop, Linux, and Google Cloud Platform (GCP) while working on complex international projects. WHAT YOU’LL DO Design, develop, and maintain scalable data pipelines and data processing solutions. Develop data transformation and processing workflows using Python and Apache Spark . Work with large-scale datasets in distributed enviro

We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started. Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. TextNow is looking for an experienced Data Developer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow's data platform, enabling us to make effective data-informed decisions. You will be part of cross-functional efforts to build scalable and reliable frameworks that support allTextNow's business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up. This role is about impact at scale. You’ll shape how TextNow builds and operates its systems in an AI-first environment where intelligent tooling is embedded into everyday engineering practice. Using AI is not optional, it’s expected. From design and architecture to implementation, testing, debugging, documentation, and operational analysis, you will actively leverage AI tools to increase velocity, improve code quality, and make better technical decisions. We provide a robust suite of AI-powered development tools and workflows to support you, and we expect you to continuously evolve how you use them to raise the bar for efficiency, clarity, and product excellence across the organization. What You'll Do Own TextNow's data warehouse, data pipelines, and integration points between various business systems. Design, develo

We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started. Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. About the role We’re looking for a business-minded Data Scientist who pairs strong technical skills with sound judgment about which problems are worth solving. You’ll partner with product, marketing, finance, engineering, and trust & safety to turn ambiguous questions into rigorous analyses, models, and experiments — and then turn the results into decisions. The problems are real and the data is large: understanding what drives user acquisition, engagement, and retention; improving monetization across ads and subscriptions; measuring the impact of product changes; and helping keep our network safe from fraud and abuse. You’ll own work end to end, from framing the question to landing the recommendation with leadership. What you’ll do Frame the right questions. Work with stakeholders to understand business challenges, spot where data can make a difference, and translate open-ended questions into structured analyses with clear success criteria. Find what drives the business. Dig into large, complex datasets to uncover the trends, segments, and behaviors behind user growth, engagement, retention, and revenue. Build models that get used. Develop and apply statistical and machine learning methods — predictive models, segmentation, forecasting, causal inference — and evaluate them honestly, including their assumptions and limitations. Run and read experiments. Design, analyze, and interpret A/B tests and quasi-experiments that inform product and marketing decisions. Defin

Modalités de travail: Chez GoDaddy, l’organisation du travail varie selon les équipes : certaines travaillent au bureau, d’autres en mode hybride, et d’autres entièrement à distance. Sur Site: Ce poste s’exerce à temps plein sur site. Vous devez donc résider à une distance permettant de vous rendre régulièrement dans les locaux auxquels vous êtes rattaché(e). Vous travaillerez sur ce site dès votre premier jour Rejoignez notre équipe : GoDaddy recherche un(e) Chef d’équipe de Data Center expérimenté(e) pour superviser les opérations quotidiennes de notre centre de données de Strasbourg. Vous encadrerez une équipe de techniciens chargée de la maintenance et du développement des infrastructures critiques qui assurent la continuité de services essentiels à l’activité, 24 h/24 et 7 j/7. En tant que membre de l’équipe de management du site, vous veillerez à assurer une couverture opérationnelle adaptée, à garantir la continuité des activités et à fournir des services fiables aux clients internes et externes. Vous collaborerez étroitement avec les ingénieurs, chefs de projet, équipes en charge des environnements critiques, fournisseurs et partenaires internes, tout en développant une équipe performante et en contribuant à l’amélioration continue des opérations du centre de données. Votre expérience doit inclure ... Expérience confirmée en management et leadership d’équipes en charge des opérations techniques, dans un centre de données, une infrastructure ou un environnement stratégique. Expérience dans le support de clients Enterprise et de services stratégiques pour l’entreprise, dans un environnement opérationnel. Connaissances techniques dans au moins deux des domaines suivants : administration système (Linux et/ou Windows), réseaux, architecture des centres de données ou programmation/scripting. Expérience dans la délégation

Modalités de travail: Chez GoDaddy, l’organisation du travail varie selon les équipes : certaines travaillent au bureau, d’autres en mode hybride, et d’autres entièrement à distance. Sur Site: Ce poste s’exerce à temps plein sur site. Vous devez donc résider à une distance permettant de vous rendre régulièrement dans les locaux auxquels vous êtes rattaché(e). Vous travaillerez sur ce site dès votre premier jour Rejoignez notre équipe : Chez GoDaddy, notre infrastructure est au service de millions de clients à travers le monde. Nous recherchons un(e) Data Center Manager expérimenté(e) pour piloter les opérations, les équipes, la performance financière et la qualité des services de notre centre de données de Strasbourg. En tant que membre de l’équipe de management du site, vous déclinerez la stratégie de l’entreprise en actions concrètes à travers la planification des effectifs, le développement des talents, la gestion financière, la gouvernance opérationnelle et l’amélioration continue. Vous collaborerez avec les clients, les fournisseurs et les différentes équipes internes afin de garantir des opérations sûres, fiables et évolutives dans un environnement fonctionnant 24 h/24 et 7 j/7. Votre expérience doit inclure …. Expérience confirmée en management et leadership, notamment dans l’encadrement de managers, le développement d’équipes responsabilisées et la conduite du changement organisationnel. Expérience dans le pilotage d’opérations au service de clients Enterprise et de services critiques pour l’activité. Expérience en gouvernance opérationnelle, gestion des risques, continuité d’activité, gestion budgétaire, prévisions et reporting auprès de la direction. Expertise technique dans au moins deux des domaines suivants : administration système (Linux et/ou Windows), réseaux, architecture des centres de données, programmation

Data Engineer-6336 itD is seeking an experienced Data Engineer to build and modify high-complexity data pipelines, monitoring, and alerting systems supporting a legal-focused infrastructure team. The ideal candidate will bring deep expertise in SQL, Python, ETL/data pipelines, and data warehousing , along with a proven track record of leading complex, cross-functional data engineering initiatives from planning through delivery. Location: Remote, with preference for candidates based in California and ideally the Bay Area. Candidates open to occasional onsite work in San Francisco should indicate this in their skills matrix. Contract: 3Months Pay Rate: depending on experience and market rate. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Build and modify high-complexity ETL and data pipelines to efficiently extract, transform, and process data from large-scale datasets. Develop and maintain monitoring and alerting systems that proactively identify data, infrastructure, and workflow issues. Design data warehousing solutions and optimize queries and pipelines for large-scale data processing. Collaborate with attorneys, data scientists, engineers, and other technical and non-technical stakeholders to understand data requirements, sources, dependencies, and timelines. Lead end-to-end data engineering initiatives across cross-functional teams, including planning, documentation, stakeholder coordination, system design, and execution. Identify potential data and system issues early and implement solutions that improve reliability, efficiency, and operational visibility. Communicate technical concepts and project status clearly and concisely to both technical and non-technical audiences. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on indu

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for a data analyst with a passion for analyzing data, statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. What you’ll do We’re looking for a Data Analyst to partner with our Global organization to drive international expansion and growth. You’ll play a key role in designing and shipping experiments, owning data pipelines, and collaborating with product and engineering teams to establish the right success metrics. You will help track our progress in helping new users to go live on Stripe and empowering existing users to sell globally. Working closely with cross-functional partners, you'll extract actionable insights from Stripe's rich, complex datasets. You will also translate complex business goals into clear analytical frameworks. From building scalable dashboards to crafting com

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees, offering a comprehensive set of AI & data solutions built on deep data science and cutting-edge AI technologies. From strategy to operations, we partner with 1,000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi. Our work spans the full data and AI value chain, including data strategy, data quality and governance, data platforms, AI solutions, and data-driven customer experiences. What you will be doing: Our Data Consulting department leads the way in effectively exploiting data & AI in all its forms. Do you want to help our clients define best-in-class data & AI strategies, drive transformations and build data & AI solutions that have impact? Join our dynamic consulting team and contribute to developing our international client portfolio! As a Junior Data Consultant , you will support national and international clients across various industries in developing and implementing innovative data & AI strategies. Your role will encompass: Client advisory: collaborate with clients alongside your (international) team to understand their business needs and goals, delivering data-driven recommendations that guide decision-making and strategy. Data Collection and organization: collect, clean, and prepare data for analysis, correcting errors and formatting it for statistical software. Ownership of project stream: drive individual workstreams, ensuring successful and timely delivery, in alignment with project goals. Data analysis and interpretation: use tools like Excel, SQL, and Python to analyze data, apply statistical techniques to uncover trends and patterns, and present clear, actionable insights to clients, ensuring clarity for both technical and non-technical audiences. What we are

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. <br /

Data Architect 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 Responsibilities They are responsible for creating and maintaining the architecture for big data systems to ensure

Join Us in Making an Impact ✨ At OneAZ Credit Union, our success is measured only by yours. We’re here to create lasting change in the lives of our members, our communities, and our team. If you're looking for a career with purpose, where your work truly matters—you've found it! Who You Are 🧩 You’re impactful, compassionate, and fearless, ready to embrace new challenges and shape the future of financial well-being. You take accountability for our success and thrive in an environment where curiosity is celebrated. If this sounds like you, let’s build something great together. What You’ll Do 🚀 📍This position will be located at our Corporate Office: 2355 W Pinnacle Peak Rd, Phoenix, AZ 85027 The Data Governance Strategist is responsible for independently leading, developing, maintaining, and continuously improving the Credit Union’s enterprise data governance program. As the sole contributor dedicated to data governance, this role serves as the primary program owner and business partner for departments across the Credit Union, driving adoption of data governance standards, strengthening data stewardship practices, and promoting a culture of data quality, compliance, privacy, and responsible data use that best serves our members and associates. Essential Functions Serves as the sole dedicated contributor and accountable owner for the enterprise data governance program, independently managing program priorities, deliverables, documentation, stakeholder engagement, and ongoing maturity efforts. Develops, maintains, and refines data governance policies, standards, procedures, templates, and program documentation to align with business needs, regulatory expectations, and enterprise risk priorities. Maintains the enterprise data inventory, data glossary, ownership records, stewardship assignments, data lineage documentation, and related governance artifacts to support transparency and accountability. Lea