Sr Data Center Operations Engineer Jobs

SR DATA SCIENTIST — Fab 10A, Singapore. Apply via Workday.

SR DATA SCIENTIST SMART MFG & AI — 2 Locations. Apply via Workday.

Sr Data Scientist - Global Supply Chain and Logistics — Ste 100 Sunnyvale, CA 94086-6017. Apply via Workday.

This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business. You will work closely with partner teams in Analytics, FP&A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics. Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies Document metric definitions, report logic, and data lineage Skills & Attributes The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement 4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar) Working proficiency in Python for data transformation,

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Summary: We are looking for a talented and detail-oriented Sr Data Engineer to tackle data challenges. You will design, build, and maintain critical data pipelines and datasets, supporting areas like recruiting, compensation, talent management, and learning and development. Your work will enhance data accessibility and empower the People Team and business leaders to make informed decisions with high-quality, reliable data. Key Responsibilities: Develop and maintain robust data pipelines and datasets. Build foundational data products for key business areas. Enhance self-service data capabilities for the People Team. Ensure high standards in ETL/ELT operations, data quality, and pipeline reliability. Join us to drive impactful change and support SoFi's mission of fostering a thriving workplace through data excellence. What you’ll do: Design and build production dbt models in Snowflake that integrate Workday and other People systems into well-modeled, documented datasets, including slowly changing dimensions for People history. Build and operate Airflow DAGs that ingest People systems data and orchestrate dbt runs, keeping loads reliable and re-runnable. Own data quality and observability: dbt tests, freshness checks, row-count validation, and monitoring so issues are caught before stakeholders see them.

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity: The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You’ll Be Doing : Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. Provide technical guidance for engineering projects that incorporate

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Senior External Data Specialist is responsible for managing the processing of external and/or local lab data received at eClinical Solutions throughout the clinical trial lifecycle. The Senior External Data Specialist will provide subject matter expertise in external data handling of various external data sources (ie: central laboratories, imaging, PK, PD, eCOA, ePRO, etc.) to internal cross-functional teams and external stakeholders to ensure high quality data. The Senior External Data Specialist works to ensure departmental SOPs, guidelines, regulatory and global standards are followed to maintain data integrity and ensure consistency across all assigned projects. This position reports to the Manager, External Data. KEY TASKS & RESPONSIBILITIES In addition to the duties outlined, performs additional duties and responsibilities based on developing skills and capabilities: Act as primary study contact, subject matter expert (SME) and liaison for external data and local lab processing on assigned studies for internal and external stakeholders. Communicate to Clinical Data Manager, study team, and/or Manager, External Data problems involving local lab data point issues and validation issues. Communicate to vendors and client issues involving external data transfers, data point issues and validation issues. Perform QC of laboratory normal ranges prior to entry to ensure documents received are ICH/CGP compliant and accurate. Perform Lab Normal Range data entry and/or QC, meeting processing deliverables on time a

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the

Sr Cloud Data Engineer, SMAI — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Sr Manager Data Engineering — Work At Home-Pennsylvania. Apply via Workday.

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. The Opportunity This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities—sequences, images, sp

Sr IT Engineer (Data Services) — Penang, Malaysia - Grande. Apply via Workday.

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. We are seeking a vision-driven, data-led Sr. Director of Web Strategy & Experience to own the strategy, design, and performance of our flagship corporate website ( gong.io ). You will sit at the intersection of brand narrative, product marketing, conversion rate optimization, and web engineering. Your goal is to deliver a world-class digital storefront that reflects our brand leadership, drives a qualified pipeline, and provides an unmatched user experience. You will also build and develop the team that makes this possible, including hiring, coaching, and raising the bar for web talent at Gong. RESPONSIBILITIES Vision & Strategy: Define and execute the roadmap for gong.io, ensuring seamless alignment with corporate messaging, brand identity, and GTM strategy. Cross-Functional Execution: Orchestrate content, brand design, web engineering,

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

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. eClinical Solutions is committed to driving innovation in clinical trials through a better approach to data management and data analytics. We use the eClinical Solutions technology platform, elluminate , throughout the data management process to accelerate timelines for our clients and automate manual processes. We believe in a more agile approach to data management using our core technology elluminate - enabling our life sciences clients to proactively manage their clinical programs and make decisions. You will make an impact: As a Senior Clinical Data Manager (Sr. CDM) you will independently act as a study lead and are responsible for the oversight, maintenance, and management of clinical trial database(s) for assigned projects through the full data management process life cycle. You are viewed as the CDM expert and will serve as the primary liaison between eClinical personnel and Sponsor personnel. You will create and oversee the database design specifications, validation, maintenance/data cleaning, and closeout activities of project-specific clinical trial databases. As a Senior Clinical Data Manager, you may delegate tasks/responsibilities to multiple team members in multiple projects. You will provide ongoing project oversight to ensure proper planning and timely completion of high-quality Sponsor deliverables. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Primary representative for eClinical Solutions and sponsor data