Data Curation Associate Jobs

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 Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Insights & Enablement Data Engineering team within Services is looking for a Data Engineer II based in Pune, India, to help build, enhance, and operate scalable, reliable, and governed data solutions that support analytics and data-driven decision making. Our Data Engineering environment spans established on-premises capabilities and an evolving cloud data platform. The team maintains and enhances the Analytics Data Mart (ADM), powered by Microsoft SQL Server and data integration workflows using Alteryx, while expanding cloud-native capabilities through the Strategy & Operati

Data Analyst Company: Boeing Defence United Kingdom Limited At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Defence UK Analytics team are an agile team based out of Bristol, delivering data warehouse, rapid prototyping in Tableau and the configuration and the deployment and uptake of Enterprise analytic tools. The team size is currently 18 and managed by a Data Analytics Manager and a Programme Manager. Business travel within the UK and overseas will be required, including occasional overnight stays. Responsibilities Due to the growth in the team, an exciting opportunity has arisen for an Business Intelligence Analyst. This position will sit within the Applied Team and be responsible for the delivery of analytics capability to the customer. Specific responsibilities will include: Development of Business Intelligence information models, dashboards, metrics and reports, utilizing standard technologies and methodologies that meet business objectives. Combining programming, SQL skills, best practices and business expertise to deliver efficient and scalable Business Intelligence solutions to improve business productivity and business outcomes. Working with stakeholders to capture requirements and deliver value. Foster a work environment that encourages business innovation and strong customer relationship management. Training

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Responsibilities: Ensure site operations, including incident management and escalation in accordance with approved Client/JLL procedures. Plan, assign and supervise planned and reactive activities utilizing the CMMS platform. To check on site repair and maintenance carried out by subcontractors to ensure work completion. Ensure the implementation of safe systems on site activities. Implement regular inspections of the facility on energy conservation, maintenance practices, utility management and risk management procedures. Co-ordinate meetings periodically with contractors to ensure that required standards are established and maintained, and develop corrective action plans when, or if performance falls below Provide training to on-site teams on equipment operational procedures, including emergency procedures and requirements. Co-ordinate and maintain the site asset database, provide updates in accordance with CMMS requirements. Prepare and provide input to the site’s monthly reporting for client. Ensure compliance with statutory regulations on fire, health and safety standards. Ensure all safety procedures, including Crisis Man

About the Team The Decision Systems team helps DoorDash teams make faster, more rigorous, and more trustworthy decisions. We build the analytical systems, statistical methods, and product experiences that power experimentation, causal inference, rollout analysis, metric interpretation, and business impact measurement across DoorDash’s three-sided marketplace. Curie is DoorDash’s experiment analysis product within Decision Systems. It sits at the center of how teams move from hypothesis to analysis to confident action, helping decision makers understand experiments, rollouts, metric movements, and marketplace impact while preserving scientific rigor, velocity, trust, and interpretability. Our work spans experimentation platforms, causal inference, variance reduction, switchback experimentation, metric systems, and AI-assisted analysis workflows. We partner closely with data scientists, engineers, product managers, and operators across DoorDash to translate advanced methods into reliable, scalable systems that improve decision quality and product velocity. Some of the work done in the team was published in articles such as: Design-Aware Variance Reduction for Switchback Experiments: A Comparative Study , Power-Optimal Covariate Adjustment for Switchback Experiments , CUPED on Steroids: Multivariate Covariate Adjustment for Switchback Experiments . About the Role We are looking for a Staff Applied Scientist to provide scientific leadership for DoorDash’s Experimentation Platform. In this role, you will define and advance the statistical, causal inference, machine learning, and AI capabilities that power high-quality decision-making across DoorDash. You will work on challenging problems at the intersection of experimentation, marketplace dynamics, machine learning, and product engineering. Your work will shape how DoorDash teams design experiments, analyze results, interpret noisy marketplace outcomes, and make faster, more trustworthy decisio

Job ID: 111270 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. Responsibilities: Responsible for influencing product roadmaps through analytics and financial and business modeling. Develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes. Analyze collected data and extract information relevant to problems. Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale. Develop and test quantitative models, support software, and analytical tools. Experience: Education and Experience: Master's degree or foreign equivalent in Operations Research, Analytics, or related field. 3 years of experience in job offered, analytics, or related occupation. Skills: Experience with quantitative analysis, predictive modeling, and machine learning. Experience with programming languages, analytical software, and database applications. Experience with business analytics and authoring data pipelines. Experience with optimization and programming, including C++, R, Python, and algorithms. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, col

Job ID: 111268 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. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code; collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics and analytical tools to track and monitor growth. Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines. Experience with building and evaluating optimization and inference models, and predictive modeling. Experience with writing production quality computer code and using MATLAB, R, and Python. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is

Job ID: 111267 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. Responsibilities: Partner with Engineers, Product Managers, Product Designers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Collaborate with Software Engineers to implement algorithms and analytics events in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Physics, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics, analytical dashboards, and tools to track and monitor growth. Experience with statistics, business forecast and estimates, and authoring data pipelines. Experience with writing production queries and experiment design and analysis. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orienta

About the Team OpenAI's Compute organization builds and operates the infrastructure that powers frontier AI training and inference. Our data center engineering teams develop the technical standards and infrastructure required to deploy compute at unprecedented scale across both self-built and partner-operated environments. We work across civil, structural, mechanical, electrical, construction, and infrastructure delivery to develop data center designs that are reliable, scalable, and optimized for speed. About the Role We are seeking a Data Center Design Manager to coordinate the design and delivery of infrastructure for large-scale AI deployments. You will bring engineering disciplines and external design partners together to translate infrastructure requirements into coordinated, buildable design packages. You will manage design milestones, resolve cross-discipline interfaces, and keep technical decisions aligned with project requirements. Working with engineering, construction, commissioning, operations, and hardware teams, you will help preserve design intent from early planning through construction and turnover. The focus is design execution, technical coordination, and clear ownership of design decisions. Key Responsibilities Manage design scope, deliverables, milestones, and dependencies from concept development through detailed design and construction support. Coordinate civil, structural, architectural, mechanical, electrical, controls, and physical network interfaces across data center buildings and campuses. Translate owner and hardware requirements into coordinated design criteria, working with discipline leads to resolve gaps and competing requirements. Lead multidisciplinary design reviews; track comments, decisions, technical risks, and actions through resolution before design release. Evaluate design changes with engineering and delivery partners, making impacts on reliability, safety, cost, schedule, and maintainability clear. Coordinate external ar

Data Engineer III itD is seeking a Data Engineer to design, build, and own the data models, pipelines, and reporting behind a large-scale robot teleoperation and wearable data collection operation at a leading global technology company, replacing manual operational reporting with automated, trustworthy systems. The ideal candidate will bring deep experience in dimensional modeling, production pipeline ownership, and distributed SQL and Python, and a track record of delivering reliable reporting infrastructure and metrics that leadership trusts. Location: Remote (US). Pay Rate: $48.60/hr Depends on Experience Duration: 12 months, full time (40 hours/week), start ASAP, with a strong possibility of extension or conversion. 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 Design and own dimensional data models covering collection volume, operator efficiency, data quality, and equipment uptime across multiple collection methods, and build the daily and cumulative table layers that let recurring reporting be derived automatically. Define and document canonical metric definitions so key terms mean one consistent thing across dashboards, internal apps, and leadership reporting, and drive alignment when teams disagree. Build and extend batch data pipelines from operational source systems through daily snapshots to cumulative dimension tables; own correctness, freshness, and backfill of every reported metric and resolve discrepancies against source data. Build automated data-quality checks, anomaly detection, and freshness SLAs, and own backfill and restatement strategy (including communicating restatements to stakeholders) when definitions or upstream sources change. Build and own dashboards and internal reporting views, including live fleet-status views and automatically generated daily operational briefs, plus l

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. T he Role Part of the broader Addepar Data organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar. During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data. Accurate and timely completion of these projects are crucial in enabling our clients to take full advantage of Addepar's reporting and analysis capabilities. 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 Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners. Partner with members of Sales and Services organisations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes. Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs. Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency. Maintain team resourc

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an instructor, you will be responsible for the delivery of our technical content and supporting our apprentices in upskilling in these technical areas through workshops and drop in sessions. You will help apprentices develop the appropriate Knowledge, Skills & Behaviours throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development. To ensure a strong start, you will complete a 3-week onboarding programme, covering: Modern teaching methodologies - for a hands-on, engaging learning experience Technical upskilling - to align with the relevant apprenticeship standard Practical coaching opportunities - a rigorous, robust feedback process to get you ready to launch your programme At the end of onboarding, you will be ready to support Multiverse apprentices, helpi

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an instructor, you will be responsible for the delivery of our technical content and supporting our apprentices in upskilling in these technical areas through workshops and drop in sessions. You will help apprentices develop the appropriate Knowledge, Skills & Behaviours throughout their programme. The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development. To ensure a strong start, you will complete a 3-week onboarding programme, covering: Modern teaching methodologies - for a hands-on, engaging learning experience Technical upskilling - to align with the relevant apprenticeship standard Practical coaching opportunities - a rigorous, robust feedback process to get you ready to launch your programme At the end of onboarding, you will be ready to support Multiverse apprentices, helpi

Data Fusion Systems Software Engineer/Analyst (Associate, Experienced or Senior) Company: The Boeing Company The Boeing Company is currently seeking a Systems Software Engineer (Associate, Experienced or Senior) to support our Software Development team within the Phantom Works Network Centric Operations team in Berkeley, Missouri (St. Louis, MO area). This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced and Senior Level Software Engineers. The Network Centric Operations Team designs, develops, and implements platform-agnostic software capabilities that enable network operations for tactical fighter aircraft. As a Data Fusion Software Engineer, you’ll develop and prototype advanced sensor-fusion algorithms, applying mathematical and statistical techniques to track and combine data from multiple sensors and sources. You’ll evaluate algorithm performance against key performance indicators (KPIs) and partner with the software architect to transition successful prototypes into production-ready capabilities. We’re looking for a collaborative, accountable professional who is committed to customer satisfaction and continuous process improvement. The successful candidate will thrive in a multi-contract, multi-program environment and apply ingenuity and innovation to complex challenges. You should be adaptable and eager to learn new technologies in evolving development environments. You’ll bring a strong foundation in mathematics and the ability to translate theoretical concepts into practical, real-world solutions, along with the drive to solve difficu

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Overview CVS Health is seeking a Data Scientist to join its enterprise clinical intelligence platform team. AI is unlocking new possibilities in healthcare at an unprecedented pace, and that progress comes with a responsibility to build capabilities that are clinically rigorous, ethically grounded, and worthy of the trust patients and providers place in them. This role will analyze clinical data and develop AI and machine learning solutions that generate evidence-backed insights for use cases across CVS Health. The Data Scientist will work closely with experienced data scientists, engineers, product managers, and clinical partners to build, evaluate, and improve solutions used in production. What You’ll Do Develop subject matter expertise in clinical data and its application to healthcare problems. Explore, analyze, and summarize large structured and unstructured datasets to inform product and modeling decisions. <span

Data Platform & Analytics Manager – Millennium Space Systems Company: Millennium Space Systems Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. Job Summary: The Data Platform & Analytics Manager is responsible for managing a team of experienced data engineers, scientists, and analysts. Develops and executes project and process plans, implements policies and procedures and sets operational goals. Acquiring resources for projects and processes provides technical management of suppliers and leads process improvements. Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports. Provides vision, oversight, and approval of technical approaches, products and processes. Manages, develops and motivates employees. This is an onsite role in our office in El Segundo, CA. This position’s internal job code is Data Science & Analytics Manager. Our team is currently hiring for a level K. Position Responsibilities: Team Leadership - Recruit, coach, and retain a high-performing team of data platform architects, data scientists, analytics/ML engineers, and BI analysts Enterprise Data Platform Ownership - Serve as technical authority for the data platform systems Process & Del