Senior Software Engineer - Data 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.

Clari seeks a Manager, Engineering to lead its Data Science team in Bengaluru, India. This position guides engineers and data scientists as they create and refine products that help drive smarter business decisions. Role overview This manager oversees projects focused on data science, working with a group dedicated to building and improving data-driven products. The team’s work directly supports the company’s ability to make informed choices. What you will do Lead and mentor a team engaged in data science initiatives Supervise the design, development, and enhancement of data-focused products Collaborate with engineers and data scientists to deliver solutions that support business needs Team culture Clari’s Data Science group values collaboration and encourages innovation. Managers play an important role in shaping technical direction and supporting the growth of their teams.

We are seeking an experienced Data Engineering Manager to lead our data engineering team. In this role, you will oversee the design, development, and implementation of scalable data pipelines and architecture. You will collaborate with cross-functional teams to empower data-driven decision-making across the organization.

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.

Cognite is at the cutting edge of industrial digitalization, specializing in innovative AI and data solutions that tackle some of the most challenging and high-impact issues facing industries today. With an unparalleled industrial legacy and a robust suite of AI capabilities, including low-code AI agents, Cognite is transforming the digital landscape to enhance operational efficiency.Our ambitious goal is clear: to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

Harness, a leader in AI-driven software delivery, was founded by notable technologist Jyoti Bansal, who is also the founder of AppDynamics, acquired by Cisco for a staggering $3.7B. With approximately $570M raised in funding and a valuation of $5.5B, Harness is supported by top-tier investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI revolutionizes code creation, the focus has shifted to optimizing processes beyond code – including testing, deployments, application security, reliability, compliance, and cost efficiency. Harness leverages AI and automation to enhance this "outer loop," enabling teams to accelerate software delivery without compromising security or governance throughout the entire software lifecycle.Utilizing the Harness AI and Software Delivery Knowledge Graph, our platform seamlessly integrates intelligent automation and governance controls throughout the software delivery process.In the past year alone, Harness facilitated over 185M deployments, 82M builds, conducted 8M security scans, and managed $2.8B in cloud expenditure, empowering clients like United Airlines and Choice Hotels to boost release speeds by up to 75% and reduce cloud costs by 60% while achieving tenfold improvements in DevOps efficiency.With a global footprint across 14 offices in 25 countries, Harness is redefining the future of AI software delivery – and we are eager to welcome exceptional talent to join our journey.Position SummaryAs an Engineering Manager under the AppSec Platform charter, you will design and develop a multi-cloud, portable, open-source streaming-first data platform that powers our API observability and security products. Your team will also manage common services in the authentication and authorization domains. This platform is vital as the core pillar for customer-facing analytics and consumption layers for various product modules including Catalog, Runtime Protection, and Application/AI Security. You will lead and cultivate a team of 8-10 engineers, driving execution, fostering innovation, and delivering high-impact platform capabilities. Additionally, you will enhance operational excellence through monitoring, reliability improvements, and cost optimization of large-scale data systems, all while contributing to our mission of becoming a global leader in the AppSec domain.

* 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 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.

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.

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.

Teamwork Makes the Stream Work. Join Roku in Revolutionizing TV ViewingRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, and our ambition is to power every television globally. We are at the forefront of streaming technology, connecting consumers to their favorite content, enabling publishers to grow and monetize their audiences, and providing advertisers with innovative ways to connect with viewers.From your very first day at Roku, you'll be an integral part of our mission. We thrive on a culture of innovation and collaboration, where every employee contributes to our success. You will have the opportunity to enhance the viewing experience for millions of streamers worldwide while gaining invaluable experience across diverse disciplines.

Join AQR Capital Management as a Python Data Engineer! AQR Capital Management is a leading global investment management firm that integrates financial theory with practical application. Our mission is to achieve exceptional long-term results for our clients by filtering out market noise and focusing on what truly matters, while developing ideas that withstand rigorous testing. Our commitment to technological excellence is the foundation of our insights and analyses, establishing us as leaders in both alternative and traditional investment strategies since 1998. We take a systematic, research-driven approach, leveraging quantitative tools to process fundamental information and manage risk. Our diverse clientele includes institutional investors like pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, along with financial advisors. The Team: We are forming a new Data Engineering team within the Enterprise Engineering organization at AQR, dedicated to tackling challenges associated with big data. This team will collaborate directly with researchers and various stakeholders across the firm to develop and maintain the infrastructure necessary for loading, validating, and provisioning large datasets that inform our research and investment strategies. Your Role: As a Data Engineer, you will play a pivotal role in designing and constructing a new enterprise data platform utilized by our quantitative researchers to handle vast amounts of market, reference, and alternative data, whether structured or unstructured. You'll also create essential tools for data validation, back-testing, and uncovering valuable investment insights. Collaborating closely with Researchers and Portfolio Managers, you will define and implement detailed business requirements for both new and ongoing projects. This critical team will utilize big data technologies and cloud-based platforms to build scalable and adaptable solutions to meet the data needs of one of the world’s largest quantitative investment firms. What You’ll Bring: 3+ years of relevant experience in data engineering or a related field. Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related discipline. Exceptional coding, debugging, and analytical capabilities. Proven ability to work directly with business stakeholders to specify and implement solutions. Experience in distributed data environments and managing large datasets. Familiarity with big data frameworks such as Spark and Hadoop. Strong teamwork and communication skills.

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.

Job Title: Manager, EngineeringLocation: India, HybridThis is a hybrid position, requiring a presence at our Bengaluru office as necessary. Candidates must be based in India. ABOUT CLARI: Clari and Salesloft are pioneering a new era of enterprise revenue management, empowering teams to make informed decisions driven by AI and real-time insights. Together, we are developing the industry's inaugural Predictive Revenue System, allowing human intelligence and AI to collaborate for smarter decision-making and sustainable growth.With a vast customer base leveraging our platforms daily, we possess unparalleled insights into revenue generation—the Revenue Context that elucidates events, timing, and outcomes. This unique perspective positions us to redefine a category and establish new standards for modern revenue teams. Join us as we reshape how companies globally manage revenue, developing the platform that will lead top revenue teams into the future. THE OPPORTUNITY:As a Manager of Engineering at Clari and Salesloft, you will be integral to our success. We seek a seasoned professional who is committed to realizing our vision through a demonstrated history of excellence and innovation. You will thrive in working on cutting-edge cloud technologies to build groundbreaking AI-driven, enterprise-grade applications. Key Responsibilities:Lead product delivery in a dynamic startup environment with a keen emphasis on quality, design, and architecture. Manage the technical roadmap for your product. Recruit and provide leadership to a team of software engineers, establishing high engineering standards and quality. Collaborate effectively with cross-functional teams, architects, and stakeholders to achieve unified objectives.

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 KnowBe4, the global frontrunner in Human Risk Management, serving over 70,000 organizations worldwide for more than 15 years. We are at the forefront of security innovation, having integrated AI capabilities since 2016. Our HRM+ platform merges continuous risk intelligence, cutting-edge technical defenses, and tailored training to empower organizations in cultivating robust security cultures. We assist companies in identifying, measuring, and mitigating human risks across their workforce, safeguarding against deepfakes and evolving AI-driven threats.At KnowBe4, we are committed to protecting organizations from cyber threats while fostering a positive environmental impact. We believe that true resilience is a collective endeavor, requiring the safeguarding of our people, our data, and our planet.

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.