External Data Specialist Jobs

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

Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. The Data Analytics Sr Lead Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically, a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project. Responsibilities: Adapts latest trends in Data Science/Data Mining/Big Data field for application within role and the business. Serves as the subject matter expert for strategic data analysis, identifies insights and implications as well as make strategic recommendations, develops data displays that clearly communicate complex analysis. Demonstrates excellent communication skills in order to negotiate internally, often at a senior level, leveraging diplomacy in order to guide, influence and convince internal and external stakeholders. Applies ingenuity and creativity to problem analysis and resolution in both complicated and novel con

JOB SUMMARY: Natera is seeking a Data Privacy Director to help advance and operationalize the enterprise privacy program across our commercial, clinical, and product environments. This is a broad, hands-on leadership role supporting the full range of the Privacy team's work — from privacy impact assessments and regulatory analysis to contract and legal privacy-focused reviews — with a strong business-enablement orientation. This role reports to the Vice President, Data Privacy and partners with cross-functional teams to embed privacy principles throughout the lifecycle of data, technology, and innovation initiatives. The Director may also provide guidance and mentorship to privacy team members and external resources supporting the program. The Director will also serve as a key integration point between Privacy and Product, embedding privacy-by-design into product and software development lifecycles and partnering with engineering to make privacy practical and scalable. In partnership with Medical Affairs, Clinical Operations, and Data Sciences (R&D), this leader will also enhance and maintain data governance frameworks that support clinical research initiatives and the responsible use of data for quality improvement and development activities. Together, these efforts will help strengthen Natera’s privacy program, building efficient, repeatable processes that expand team capacity while enabling responsible innovation and growth. Regarding culture, we seek people who demonstrate Natera's values, enjoy challenging problems, empower others to thrive, lead by example, and adapt their playbook when necessary. RESPONSIBILITIES: Privacy Program Enablement Lead privacy impact assessments, regulatory analyses, and risk-based recommendations that balance compliance with business enablement Conduct privacy reviews of contracts and legal engagements, drafting recommendations for counsel review, alignment, and approval Apply a risk-based lens to enable business d

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 Architect for the Data Centers & Workplace, you will lead the strategic planning, design, and execution of facilities and infrastructure solutions for SpaceXSI's data centers and site builds. Drawing on expertise in complex, multi-stakeholder projects, you'll collaborate across engineering, procurement, construction, and business teams to deliver integrated, compliant designs that align with aggressive timelines and innovation goals. This position reports to the Facilities Leadership team and is an opportunity that requires travel to different locations and cross-site collaboration. RESPONSIBILITIES: Plan, design, and support the construction of advanced data centers and AI infrastructure, including high-performance computing facilities at new and existing sites. Collaborate with civil, structural, MEP, and fire protection disciplines, as well as procurement and construction teams, to develop integrated solutions optimized for scalability, efficiency, and reliability. Create Basis of Design documents and Request for Quotation (RFQ) packages for external consultants, architects, and vendors; respond to RFIs and iterate based on feedback. Conduct site visits

About the Role As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime. You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company. Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture. This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress. In this role, you can expect to Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pi

The F&A team comprises multiple functions from Financials Control & Business Performance Management, Procurement, Digital Transformation, Tax, Treasury and Operations. Together, the team optimizes our global finance initiatives and enjoys being detailed-oriented while multitasking across various exciting project scopes Responsibilities Balance sheet reconciliation Extract and verify data from different reporting and different risk angles Ongoing monitoring of digital asset balances at specific cut-off times and elaborating digital asset movement Involvement in preparing daily, weekly, monthly treasury reports Support in the development and streamline of workflows Coordinate with the internal and external parties to handle day-to-day duties Assist in ad hoc tasks as assigned Requirements Degree or above in finance, accounting or economics Experience in Bank, FinTech, cryptocurrency and blockchain will also be considered Able to demonstrate basic data analytical skill and programming experiences The habit of paying painstaking attention to details, correct data and following procedures meticulously Capable to work in a challenging, fast-paced team-oriented environment Proficient in tableau, vba, excel formula is a plus #LI-CW1 #LI-Hybrid #LI-Associate Life @ Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team. Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions. Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth. Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another. One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet. Work Flexibility Adop

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. About the Role: We are looking for a Data Engineer to join our team at NK Securities. Data is at the core of everything we do, and this role will own how we source, store, validate, and understand it. You'll build reliable pipelines that bring data in from external sources, make sure it's clean and trustworthy, and dig into it to surface insights and issues before they become problems. You'll work closely with our trading, research, and tech teams. This is a high-ownership role for someone who cares about getting the details right and wants to grow into a key part of our data infrastructure. What You'll Do: Build and maintain pipelines to ingest data from multiple external sources, designed to be scalable and source-agnostic Design and implement data quality checks so that issues are caught early and automatically Handle data cleaning, missing values, and inconsistencies so downstream users can rely on the data Perform statistical analysis to identify anomalies, trends, and irregularities, and share clear reports with the team Maintain and manage databases, including backups, storage, and overall data health Develop a deep understanding of the datasets we use and serve as the go-to person for data-related questions Coordinate with internal teams and external providers to resolve data issues What We're Looking For: Strong programming skills in Python Good understanding of SQL and working with databases Familiarity with working with APIs and handling different data formats Solid foundation in statistics and data analysis Strong attention to detail and a habit of questioning data that doesn't look right Ownership mindset: you take responsibility for data being correct and available on time Ca

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Optimization Data Analyst We are looking for a Data Analyst to join our Optimization Data Analytics team. The ideal candidate is someone who is able to approach and understand complex problems in a structured manner, while converting the results into a compelling and actionable story for internal or external stakeholders, like our merchants. This role will split focus equally between supporting our top customers, and working on automation and scaling projects, leveraging technical skills to enhance team efficiency and support self-service analytics for the Account Management organization. Whether you come from the payments space or not, we need you to be an independent and enthusiastic thinker who is curious about how the payments ecosystem works and how that fits in with global commerce. What you’ll do Framework Development: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions. Data Analysis: Determine the necessary data required to solve a wide variety of business problems; extract required data, draw conclusions, and provide recommendations. Whether it’s providing insights to our key products or facilitating new experiments with our merchants, you’ll be driving new initiatives to help Adyen grow 20x. Be a Subject Matter Expert: Act as

GAQ327R290 As a tax data & technology leader you will architect the redesign of our tax processes by building automation solutions and managing finance data pipelines that power our global tax organization. You will report to the Senior Director, Tax and serve as the technical anchor between the tax team and the finance data team. You will enable us to reimagine the tax function by leveraging our finance data lake to improve accuracy and efficiency of our tax processes and enable new functionality in reporting and forecasting. Importantly, you will be responsible for bridging the gap between our team's subject matter experts, our technology solutions, and all of the business data needed to support the increasing data requirements for global tax reports. This is a high-impact role that will build purposeful, reliable solutions on top of the Databricks platform and Finance Datalake to accelerate global Tax. The impact you will have: Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations that improve tax deliverables via speed & accuracy Identify, scope, and deliver AI use cases for Tax, including tax calculation automation, anomaly detection, and natural language interfaces to the financial data that supports tax Build and maintain internal tax applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders Build reports and dashboards for monthly, quarterly, and executive-level reporting Ensure data integrations are maintained and reconciled to support tax reporting & forecasting use cases Create & maintain tax calculation automations & reports are up to date (teaming with tax colleagues), accurate, and reviewable for internal and external stakeholders (e.g. external auditors) Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to s

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. About the Team At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life. We are a central team of Machine Learning Engineers and Data Scientists. We embed with partner teams to build and apply machine learning models that improve internal decision-making and power the Plaid product suite. About the Role You will be the first Data Scientist on the Embedded Insights team, part of Plaid’s Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products. You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid’s products. Your day-to-day work will include: Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks. Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance. Evaluating the value and performance of machine learni

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Data Engineer - Payments At Adyen, we treat data and data artifacts as first-class citizens. In this role, you'll be at the core of our data strategy by helping us in building the best-in-class data platform for payments, and creating meaningful data products that drive our external and internal stakeholders. You'll also work in creating and maintaining robust reporting solutions that provide concise, reliable, and trustworthy intelligence to our customers. What you’ll do Collaborative Solution Development : Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions. State-of-the-Art Pipelines and Architecture : Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Design scalable architectures. Champion Data Best Practices : Proactively establish and advocate for best practices in performance, code quality, data validation, data governance, and discoverability across Adyen through mentoring, training, and knowledge sharing. High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement rigorous te

Job title: Data Validation Role Purpose (overall high level summary of the role) Finance has mobilised the first phase of a five year programme to transform the Finance operating model by leveraging cloud technology. Finance Cloud Transformation will rationalise operational processes, automate data and report production, to deliver comprehensive data to our internal and external stakeholders for analysis and reporting. The programme will entail migration of core Finance data and processes to the cloud, with an initial phase to implement a standard global operating process for Finance actuals report production, followed closely by forecast data and report production. The vision for the Finance on the Cloud Programme is “to deliver standardised global processes that leverage a single dataset for reporting, analysis and forecasting.” Key programme outcomes are to deliver a singular automated data production processing capability for actuals and forecasting, correction of data once for all downstream calculations, reports and outputs, introducing automated preventative and detective controls, significantly reduce manual activity in the run-time actuals process to allow the production of all actuals outputs by working day 5 for a monthly process The Data Analyst will be expected to support the delivery of data related activities within the FotC programme. Various aspects may include data validation, solution functionality validation, data gap analysis, reconciliation, user tooling or automation testing activities. • The role holder will be responsible to functionally understand and test our liquidity core release requirements • He/ She is required to perform a detailed data validation to ensure the data reflects accurately across all liquidity returns for all applicable regulations - PRA/EBA/HKMA/US FED etc. • He/She needs to furnish UAT dashboards and walkthrough the Reporting Ops of the changes introduced by liquidity core release requirements • He/She is

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. As a Data Science Manager at Micron Fab15, you will be responsible for the vision, development, and management of a high performing and technical analytics team. Optimize team performance by collaborating with internal and external stakeholders to provide data-driven solutions to complex strategic and tactical challenges. This is a highly collaborative role with operations, engineering, management, information technology, etc. Combine problem-solving, data-analysis, and technical skills to identify, quantify, and solve business problems. You will lead and participate in a team that is constantly challenging the boundaries of what is possible. You will develop and improve individual capability of current and future Micron data scientists. Establish and monitor team performance metrics to identify and implement continual improvement opportunities. You will lead your team to generate algorithms, create computer models, and test and validate models that are scalable for production. Your team will discover and present business relevant “stories” to business stakeholders using data visualization methods. You will develop expert-level knowledge of Micron and use this knowledge to deliver prescriptive, actionable solutions to stakeholders. Be responsible for conveying corporate business initiatives, providing direction thereof, and driving a clear understanding of line of sight to department and corporate strategic objectives within your team. Lead research in and keep up to date on the latest devel

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready data products. This is not a role for someone who executes tickets. You will design and build the data infrastructure that powers internal decision-making and external product capabilities, working at the intersection of data engineering, platform thinking, and stakeholder alignment. You will own complex technical decisions, set the bar for data quality and governance, and contribute to a data platform that scales with the business. The person we are looking for combines engineering rigour with pragmatic judgement — someone who can solve for today while building for the future, and who raises the standard of the teams they work within. AS A SENIOR DATA ENGINEER AT SNOWFLAKE, YOU WILL: Design, build, and launch production-ready data models and pipelines that scale effectively across the enterprise data lifecycle — from ingestion through transformation, modelling, and consumption Own complex system design decisions end-to-end, evaluating tradeoffs and documenting architectural choices c

OVERVIEW: The Data Engineer, Pr will work closely with clients and provide high level technical consulting services, configuration of the elluminate platform, development and oversight for specific projects that include trial configuration, quality control, project management, assessing new technologies, process improvements, system validation, SOP development, custom analytics development, clinical software implementations and integrations. platform configuration, ETL and custom analytics development. The Data Engineer, Pr will be a technical escalation point for the team, design solutions and provide oversight and direction on technical development and implementation aspects to the team of existing data engineers on various software service delivery related activities. KEY TASKS & RESPONSIBILITIES: ➢ Function as a technical lead to lead consulting efforts related to clinical systems software and design and develop any reporting programs as needed ➢ Provide programming support and quality control for system configuration, Data Extracts, Custom Reports and Visualizations. ➢ Manage/Mentor technical resources to deliver client services. ➢ Provide training services as needed to internal and external users working with training staff ➢ Ensure compliance with eClinical and industry quality standards, guidelines, and procedures. ➢ Work closely with Sales Teams on staffing and project delivery services. ➢ Define new/enhanced processes to support new and existing modules in elluminate. ➢ Other duties as assigned. CANDIDATE’S PROFILE : Education & Experience: ➢ 10+ years of professional experience, preferably in Services or senior consulting role preferred. ➢ Basic Science/Bachelor of Science or Master of Science degree in Computer Science and/or equivalent work experience preferred . ➢ 8+ years in database design and development experience Position: Data Engineer, Pr ➢ Prior experience of leading technical teams is a plus. ➢ Thorough experience in data warehou