Staff Data Engineer for Innovative Data Platform

Join smallest as a Research Data Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage advanced data engineering skills to collect, analyze, and interpret complex datasets. Collaborate with cross-functional teams to drive innovative solutions and contribute to impactful research projects.

Job Title Market Data & Research Analyst Join Point72’s Dynamic Market Data & Research Finance Team The Finance team at Point72 is dedicated to delivering timely, accurate, relevant, and objective financial information, advice, and services to business partners while upholding the highest professional and ethical standards. Our collaborative and dynamic environment fosters rapid learning and provides advanced opportunities within Finance and across the firm. The Market Data & Research (MDR) Finance team plays a critical role in managing the firm’s market data and research expenditures. We oversee the day-to-day administrative and accounting functions, maintain the inventory of market data services, and ensure proper allocation and recording of expenses. Our team reconciles and processes market data invoices, collaborates with vendors to address discrepancies, and manages the procurement of specific market data services. Additionally, we handle internal and external reporting, budgeting, and various project initiatives. Your Responsibilities Review, research, and reconcile market data invoices. Maintain inventory and cost allocations in the firm’s market data inventory management database (Optimize SPEND). Support Market Data business analysts in collaboration with Compliance, Legal, and other internal departments. Assist with monthly financial close processes. Manage finance and administrative relations with vendors, including exchange reporting and vendor onboarding controls. Oversee procurement of certain market data services. Identify opportunities to automate and streamline market data processes. Maintain oversight of soft dollar and sales/use tax policies. Assist with budgets, ad hoc reporting, and special projects. Qualifications Degree in Accounting or Finance. 1-3 years of experience in accounting, finance, or market data environments. Strong analytical skills and familiarity with data analysis and database tools. Proficiency in Microsoft Excel. Prior experience in market data, accounting, accounts payable, or account management. A detail-oriented team player with a genuine interest in market data within asset management.

About UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.

About UsAt Rox Data Corp, we are dedicated to empowering individuals to excel in their work.Our innovative platform equips sales professionals with autonomous revenue agents that handle manual tasks, allowing them to concentrate on what they do best: selling. Just as coding agents revolutionized engineering, our revenue agents enhance customer engagement.We are redefining the revenue stack by creating the world’s first revenue operating system, encompassing everything from the application layer to the system of context. At Rox, we envision a future where humans act as orchestrators while agents efficiently manage the entire customer lifecycle.Rox serves Global 2000 leaders across various sectors including banking, hardware, construction, and sovereign AI, along with prominent AI enterprises like Ramp and Cognition.Our success is grounded in a shared mission and an unwavering commitment to transforming this vision into reality.The TeamOur world-class team is the backbone of our innovations and progress.Team members have:Founded and successfully exited multiple companiesHeld top-tier positions at esteemed organizations such as Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are supported by top-tier investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We ensure that every detail is meticulously crafted, creating not just functional but enjoyable interactions for our users. We are driven to refine and enhance every aspect of our product continuously.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs swiftly and proactively delivering value. Our commitment to learning and improving is relentless.Action: Get it done.Execution sets us apart. We prioritize thoughtful decision-making and immediate delivery, fostering trust through our actions.

Join our dynamic team at Louis Dreyfus Company as a Research Analyst, where you will play a crucial role in driving data-driven insights and strategies. We are seeking a passionate individual eager to contribute to our research initiatives and support our mission of delivering exceptional solutions in the agricultural sector.

* Design, implement, and maintain robust data ingestion pipelines that are secure and scalable, sourcing data from diverse systems such as SAP, Salesforce, SharePoint, APIs, and legacy manufacturing platforms.* Develop and enhance metadata-driven services to facilitate discoverability, access governance, and operational transparency of enterprise data.* Act as a technical authority and cross-functional facilitator for the acquisition, quality, and compliance of both structured and unstructured data.* Establish and oversee comprehensive data quality management, including monitoring and reporting.* Contribute to a global data engineering team that supports all major business domains.* Spearhead the ingestion and metadata service implementation for over 100 enterprise data sources.* Collaborate with IT, cybersecurity, infrastructure, and architecture teams to ensure secure and sustainable data delivery.Main Responsibilities:▪ Construct and maintain extraction services using Python or Scala (e.g., Debezium Server, custom APIs, rclone).• Implement Change Data Capture (CDC), delta, and event-based patterns.• Facilitate push-based HTTP and Kerberos-authenticated DLT delivery.• Establish, operate, and troubleshoot SAP extraction using tools like Theobald Extract Universal.• Integrate with systems such as Salesforce, SharePoint, and other API or file-based endpoints.▪ Develop a user-friendly, web-accessible data catalog application, featuring dataset profiles, metadata, and usability enhancements.▪ Integrate dataset discoverability, preview/exploration features, and lineage information using Unity Catalog as a backend metadata system.▪ Design and implement structured access request workflows encompassing submission, approval chains, audit trails, and enablement triggers.• Conduct design reviews with the Cybersecurity team.• Ensure proper documentation and compliance for all interfaces and data ingress points.• Manage audit and traceability requirements.• Collaborate with IT and business users to translate requirements into scalable technical solutions.• Serve as a technical escalation point for complex source integration challenges.▪ Define and execute a multi-layered data quality framework, incorporating unit-level, integration-level, and cross-pipeline validation rules.▪ Establish centralized, version-controlled storage of Data Quality (DQ) rules, integrating them into orchestration and CI/CD pipelines.▪ Implement automated DQ monitoring with varying severity levels (Critical, High, Medium, Low) and enable flagging, filtering, and quarantining mechanisms at relevant pipeline stages.▪ Work closely with source system owners and business stakeholders to define meaningful and actionable DQ thresholds.

Join our innovative team at Continental as a Data Engineering IT Engineer, where you'll play a crucial role in driving our data initiatives. In this position, you will design, develop, and maintain robust data pipelines and architectures that support our advanced analytics and business intelligence goals. Collaborate with cross-functional teams to ensure data quality and integrity while leveraging cutting-edge technologies to enhance our data-driven decision-making.

Join Harness, a pioneering AI Software Delivery Platform company founded by renowned technologist Jyoti Bansal, who previously established AppDynamics, which was acquired by Cisco for $3.7 billion. With around $570 million in funding and a valuation of $5.5 billion, we are supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As the landscape of software development evolves with AI, the major challenges are now in the phases following code creation—specifically testing, deployment, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline this “outer loop,” empowering teams to deliver software at an accelerated pace while ensuring security and governance throughout the software delivery lifecycle.Our platform is driven by Harness AI and the Software Delivery Knowledge Graph, which offers deep context and intelligent automation across the software delivery lifecycle, with governance and policy-driven controls seamlessly integrated within the platform.In the past year alone, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion protected API calls, effectively managing $2.8 billion in cloud expenditure. Our solutions have empowered clients such as United Airlines, Morningstar, and Choice Hotels to expedite their release cycles by up to 75%, reduce cloud costs by up to 60%, and achieve a tenfold increase in DevOps efficiency.With a global workforce spanning 14 offices across 25 countries, Harness is at the forefront of transforming AI software delivery, and we are on the lookout for exceptional talent to accelerate our mission.

Join Continental as a Data Engineering IT Engineer in our innovative team in Bengaluru. In this role, you will be responsible for designing and implementing data solutions that drive business intelligence and analytics. You will work closely with cross-functional teams to enhance data architecture and ensure data integrity, enabling data-driven decision-making across the organization.Your expertise in data processing and engineering will be crucial as you develop scalable data pipelines and optimize data workflows. This is an exciting opportunity to contribute to cutting-edge projects and make a significant impact on our technological landscape.

Role Overview AQR Capital Management is hiring a Quantitative Research Development Associate for its Bengaluru office. This role supports research and model development efforts that inform the firm's investment strategies. The position sits within a collaborative group of engineers and researchers focused on quantitative finance. What You Will Do Work closely with engineering and research teams to design and implement quantitative models Apply analytical skills to support research projects in finance and investment strategy Contribute to the development of tools and methods that guide investment decisions Team and Environment Join a group that values technical expertise, curiosity, and teamwork. The team combines engineering and financial research to solve complex problems in systematic investing.

Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. With a pioneering spirit, we connect users to their favorite content, support content creators in growing their audiences, and provide advertisers with innovative ways to engage viewers.From your first day at Roku, you'll be an integral part of our journey. As a fast-growing public company, everyone here plays a crucial role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across various disciplines. About the TeamThe Roku Data Engineering team is dedicated to building a state-of-the-art big data platform that empowers both internal and external stakeholders to leverage data for business growth. Our team collaborates closely with business partners and engineering teams to gather metrics on essential initiatives for success. As a Senior Data Engineer focused on device metrics, you will design data models and develop scalable data pipelines to capture critical business metrics across our diverse range of Roku devices. About the RoleAt Roku, we connect users to the streaming content they love and enable content publishers to monetize large audiences while providing advertisers with unique capabilities to engage consumers. Our Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and partnerships with TV brands and pay-TV operators. With millions of devices sold in numerous countries, thousands of streaming channels, and billions of hours of content consumed, the development of a scalable, highly available, fault-tolerant big data platform is crucial to our success. This role is based in Bengaluru, India and requires hybrid work, with three days in the office. What You'll Be DoingDevelop and maintain highly scalable, fault-tolerant distributed data processing systems (both batch and streaming) handling terabytes of data ingested daily and managing a petabyte-sized data warehouse.Design and implement efficient data models and pipelines that support business growth and decision-making.

Cerebras Systems is revolutionizing the AI landscape with the world's largest AI chip, boasting a size 56 times greater than traditional GPUs. Our cutting-edge wafer-scale architecture delivers the computational power equivalent to dozens of GPUs on a single chip, while simplifying programming through a unified device interface. This innovative approach enables Cerebras to achieve unparalleled training and inference speeds, allowing machine learning practitioners to seamlessly deploy large-scale ML applications without the complexities of managing numerous GPUs or TPUs.Cerebras counts among its clients leading model labs, multinational corporations, and pioneering AI startups. Notably, OpenAI has recently formed a multi-year alliance with Cerebras to harness 750 megawatts of capacity, redefining essential workloads with rapid inference capabilities.Our groundbreaking wafer-scale architecture positions Cerebras Inference as the fastest Generative AI inference solution globally, achieving speeds more than 10 times quicker than GPU-based hyperscale cloud inference services. This dramatic enhancement in processing speed transforms the experience of AI applications, facilitating real-time iteration and amplifying intelligence through additional agentic computation.About The RoleAs a Research Engineer on the Inference ML team at Cerebras Systems, you will be tasked with adapting the most sophisticated language and vision models to optimize performance on our flagship Cerebras architecture. Collaborating closely with ML researchers and engineers, you will design, prototype, validate, and enhance models, gaining comprehensive exposure to advanced inference research on the world's fastest AI accelerator.

Join our dynamic team as a Data Lakehouse IT Engineer where you will play a key role in designing and implementing cutting-edge data solutions. You will be responsible for managing data pipelines, ensuring data quality, and optimizing the data architecture to support our analytics initiatives. Your expertise in cloud technologies and data management will be crucial in driving our data strategy forward.

Role Overview weekday-1 is looking for a Data Engineer in Bengaluru, Karnataka. This role focuses on building and maintaining data pipelines to keep information moving smoothly across company systems. The work supports analytics and reporting that help guide business decisions. What You Will Do Design, implement, and maintain data pipelines Work with teams from different functions to understand data needs Support analytics efforts by ensuring reliable and accessible data Help deliver insights that improve business performance Location This position is based in Bengaluru, Karnataka, India.

Join our innovative team as a Lead Data Engineer at weekday-1, where your expertise in data architecture and engineering will play a pivotal role in driving our data initiatives. You will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and optimizing data storage solutions. Collaborate with cross-functional teams to deliver actionable insights and enhance our data-driven decision-making processes.

Join our dynamic team at Betsol as an Azure Data Engineer, where you will play a crucial role in designing, implementing, and maintaining data solutions on the Azure cloud platform. Your expertise will help drive our data strategy and ensure that our data architecture supports our business goals.

Join Continental’s innovative team as a Data Lakehouse IT Engineer in Bengaluru. In this role, you will leverage cutting-edge technologies to develop and manage data lakehouse solutions that drive data accessibility and analytics across our organization. Your expertise will help transform raw data into actionable insights, empowering teams to make informed decisions.

Collaboration Drives Innovation. Roku: Innovating the Future of TelevisionRoku stands as the leading TV streaming platform across the U.S., Canada, and Mexico, with an ambitious goal to empower every television globally. As a pioneer in streaming technology, Roku connects viewers with their favorite content, supports content creators in building expansive audiences, and offers advertisers exclusive tools to engage effectively with consumers.From your first day at Roku, you'll play a crucial role within a dynamic and thriving organization. Here, your contributions are recognized and valued. We provide you with an opportunity to engage and delight millions of TV streamers worldwide while gaining rich experience across various domains.

Berkadia Services India Pvt Ltd is looking for a Senior Data Engineer in Bengaluru, Karnataka. This position centers on building and maintaining data solutions that help drive the company’s business objectives. Role overview The Senior Data Engineer will design, develop, and support data pipelines and architectures. This work supports ongoing innovation and helps ensure reliable access to high-quality data across the organization. What you will do Develop and maintain scalable data pipelines and system architectures. Monitor data quality and integrity, performing validation as needed. Work closely with teams across the company to understand data requirements and deliver insights. Apply best practices in data management and governance throughout all projects. Collaboration This role involves regular interaction with cross-functional teams, aiming to support data-driven decision making and uphold high standards in data management.