Staff Engineer - Data Analytics Engineering

Join our dynamic team at Western Digital as a Staff Engineer in Data Analytics Engineering. In this role, you will leverage your expertise in data analytics to drive innovative solutions and contribute to our mission of pushing the boundaries of data storage technology. Your analytical skills will play a vital role in transforming data into actionable insights that enhance our products and services.

Join Nagarro as an Associate Staff Engineer in Data Analytics, where you will be integral to transforming data into actionable insights. Our team is dedicated to leveraging cutting-edge technology and innovative methodologies to drive business success. You will collaborate with cross-functional teams to develop data-driven solutions and enhance operational efficiency.

Join our innovative team at SanDisk as a Principal Engineer in Data Analytics Engineering. In this pivotal role, you will spearhead cutting-edge data analytics projects, utilizing advanced methodologies and technologies to drive impactful insights across our organization. Your expertise will be critical in shaping our data strategy and enhancing our analytical capabilities.

About DeleteMe: DeleteMe stands at the forefront of proactive privacy protection, assisting individuals, families, businesses, and security teams in minimizing their exposure to online threats. We specialize in the continuous monitoring and removal of personally identifiable information (PII) from the open web, effectively safeguarding our clients against social engineering, phishing, AI-generated deepfake attacks, doxxing, identity fraud, and physical threats.As a rapidly growing global SaaS provider, DeleteMe caters to both consumers and enterprises, having successfully executed over 100 million opt-out removals. Our services are tailored to mitigate risks associated with identity theft, spam, and other cybersecurity challenges. We offer comprehensive privacy reports, ongoing monitoring, and expert support to guarantee sustained protection.DeleteMe serves as a scalable, managed defense layer for your most critical asset: your people. This is why 30% of the Fortune 100 companies, leading tech firms, prominent banks, federal agencies, and various U.S. states trust DeleteMe to safeguard their workforce.Our team is fueled by a strong mission to empower consumers with privacy, and we are committed to delivering exceptional results.Job Summary:As a vital member of the Data Warehouse team, the Data & Analytics Engineer will play a crucial role in bridging the gap between raw data engineering and business strategy. This position involves designing, constructing, and optimizing scalable data models in Snowflake using dbt, while ensuring high data integrity and performance. The ideal candidate will balance technical warehouse architecture with the capability to translate complex business needs into actionable data products.

Join our innovative team at Continental AG as an IT Engineer specializing in Data & Analytics DevOps. In this role, you will be responsible for developing and maintaining data pipelines, ensuring the integrity and efficiency of our data processing workflows, and collaborating with cross-functional teams to drive data-driven decision-making. You will leverage your expertise in DevOps practices to enhance our data analytics capabilities and streamline our data operations.

Join Continental AG as an IT Engineer specializing in Data & Analytics DevOps. In this role, you will be responsible for designing, implementing, and maintaining robust data analytics solutions. You will work closely with cross-functional teams to ensure data integrity, availability, and security.Key responsibilities include:Developing and optimizing data pipelines.Monitoring and enhancing data processing workflows.Collaborating on data architecture and analytics strategy.We seek a proactive individual who is passionate about leveraging data for strategic decision-making and driving innovation.

Saviynt is at the forefront of identity security, leveraging an AI-driven platform to manage and govern both human and non-human access to an organization's applications, data, and business processes. Our clients, including Fortune 500 companies and government institutions, trust us to protect their digital assets, enhance operational efficiency, and minimize compliance costs. As organizations embrace AI, Saviynt ensures safe and effective deployment of AI solutions. To learn more about us, please visit www.saviynt.com.We are looking for a dynamic Senior Data Engineer with 5-8 years of experience in Snowflake to join our expanding data team. This position is perfect for individuals keen on advancing their careers in data engineering while collaborating closely with business analysts and BI developers. You will play a crucial role in designing, constructing, and maintaining data pipelines and infrastructure that guarantee reliable, high-quality data for informed business decisions.

Join our innovative team at Tekion as a Staff Software Engineer – Data Platform Engineer, where your expertise will help shape the future of our data platform. You will be responsible for designing and implementing robust data solutions that drive business insights and enhance operational efficiency.

At Databricks, we are dedicated to empowering data teams to address some of the most challenging problems globally—from bringing innovative transportation solutions to life to accelerating groundbreaking medical advancements. Our mission is realized through the development and operation of the world's premier data and AI infrastructure platform, enabling our customers to harness profound data insights to elevate their businesses. Founded by engineers with a relentless focus on customer success, we eagerly embrace each opportunity to tackle technical challenges, whether it’s designing next-generation UI/UX for data interactions or scaling our services across millions of virtual machines. Our journey has just begun.As a Staff Software Engineer on the Data Platform team, you will harness state-of-the-art AI developer tools and techniques to construct Databricks' Data Intelligence Platform, which will facilitate automated decision-making throughout the organization. This role involves close collaboration with Databricks Product Teams, Data Science, and other stakeholders. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

Join our dynamic team at 6sense as a Senior Analytics Engineer, where you'll play a pivotal role in transforming data into actionable insights. Your expertise will drive our analytics initiatives, enabling our teams to make informed decisions that propel our business forward.

Discover OktaOkta is the world's leading identity management company, empowering individuals to securely access any technology, anytime, on any device or application. Our versatile products, including the Okta Platform and Auth0 Platform, offer secure access, authentication, and automation, placing identity at the forefront of business security and growth.We value diverse perspectives and experiences at Okta. We seek lifelong learners who can contribute uniquely to our team rather than just looking for candidates who meet every qualification. Join us in creating a future where identity is truly in your hands.About OktaOkta provides an enterprise-grade identity management solution, designed from the ground up in the cloud with a steadfast commitment to customer success. With Okta, you can manage access across any application, person, or device, be it employees, partners, or customers, whether applications are in the cloud or on-premise. Our solutions enhance security, increase productivity, and ensure compliance.Our service features directory services, single sign-on, robust authentication, provisioning, workflow, and built-in reporting capabilities. It operates on a secure, reliable, and extensively audited cloud platform that deeply integrates with on-premises applications, directories, and identity management systems.About the TeamThe Data Platform team is tasked with providing the foundational data services, systems, and products for Okta, significantly benefiting our users. Currently, the Data Platform team addresses challenges and enables:Streaming analyticsInteractive end-user reportingA data and machine learning platform for Okta's scalabilityTelemetry for our products and dataOur elite team is fast-paced, innovative, and adaptable. We promote ownership and hold high expectations for our engineers, rewarding them with exciting projects, cutting-edge technologies, and the opportunity to acquire significant equity in a transformative company. Okta is poised to redefine the landscape of cloud computing.About the PositionThis role presents an exciting opportunity for experienced Software Engineers to join our rapidly expanding Data Platform organization. We are committed to scaling high-volume, low-latency, distributed data services and products. As part of the Data Platform team, you will collaborate with engineers across the organization to construct the foundational infrastructure that will support Okta's growth for years to come.

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.

Harness is an innovative AI Software Delivery Platform company founded by the visionary technologist and entrepreneur Jyoti Bansal, who previously established AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in funding, Harness is currently valued at $5.5 billion and supported by prestigious investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.As the landscape of software development evolves with the acceleration of AI-driven code creation, the focus has shifted to the broader aspects of software delivery, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, enabling teams to deliver software more swiftly while ensuring security and governance throughout the software delivery lifecycle.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, 3 trillion protected API calls, and managed $2.8 billion in cloud expenditure. Our solutions have empowered clients such as United Airlines, Morningstar, and Choice Hotels to amplify their release speeds by as much as 75%, cut cloud costs by up to 60%, and achieve a remarkable 10x increase in DevOps efficiency.With a diverse and global team across 14 offices spanning 25 countries, Harness is at the forefront of shaping the future of AI software delivery. We are on the lookout for exceptional talent to join our mission and propel us forward.Position SummaryWe are developing a cohesive data platform that will serve over 20 product modules, facilitating the ingestion, processing, and retrieval of data to empower analytics and systems at scale. This position is integral to the Data Activation & Analytics initiative under the Unified Data Platform framework, concentrating on creating a self-service analytics platform equipped with a semantic modeling layer, a domain-specific language (DSL) query layer, and an analytics materialization layer. The platform will enable product teams to construct custom dashboards independently, as well as provide readily embeddable analytics modules.About the RoleYou will spearhead the design, architecture, and development of this platform alongside senior architects, tackling complex challenges related to DSL-based query expressions, achieving sub-second read latency, multi-tenancy, high concurrency, and more.

P-1348 Join Databricks, where our mission is to empower data teams to tackle the world's most challenging problems, from detecting security threats to advancing cancer drug development. We build and maintain the premier data and AI infrastructure platform, enabling our customers to focus on their critical missions. Our engineering teams are dedicated to creating innovative technical products that address significant needs while pushing the limits of data and AI technology. We operate with the resilience, security, and scalability necessary to ensure our customers succeed on our platform. Our platform operates at an unparalleled scale, comprising millions of virtual machines and generating terabytes of logs, processing exabytes of data daily. We encounter various cloud hardware, network, and operating system faults, and our software must adeptly protect our customers from these challenges. As a Staff Software Engineer on the Data Platform team, you will contribute to the development of the Data Intelligence Platform at Databricks, automating decision-making processes across the organization. Collaborating with Product Teams, Data Science, Applied AI, and more, you will create tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. Leveraging cutting-edge Databricks products and tools within the data ecosystem, your team will serve as a significant in-house customer, providing insights that shape our product's future. Your Impact: Design and manage the Databricks metrics store, facilitating shared access to detailed metrics across business units and engineering teams with high quality and performance. Develop the cross-company Data Intelligence Platform, encompassing all business and product metrics necessary for running Databricks, balancing data protection with ease of sharing as we transition to a public entity. Create tools and infrastructure for efficiently managing Databricks operations at scale across multiple clouds and geographies, including CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tools. Establish the foundational ETL framework utilized by all company-developed pipelines. Collaborate with engineering teams to enhance...

About UsAt Metropolis, we are pioneers in artificial intelligence, utilizing cutting-edge computer vision technology to create seamless, checkout-free experiences in everyday life. Our mission is to transform parking solutions, enabling millions of users to simply 'drive in and drive out' effortlessly. We envision a future where transactions in the physical realm are as swift and convenient as online interactions, allowing everyone to reclaim their most precious resource—time.Your RoleWe are on the lookout for a Senior Analytics Engineer to enhance our Data Engineering and Analytics team. This strategic position is tailored for someone passionate about leveraging data to drive value and equipped with a robust background in analytics engineering. You will play a critical role in making data accessible and actionable, empowering data-driven decision-making across the organization. Collaborating with various product teams, you will lead initiatives that shape our data vision and architecture, ensuring impactful outcomes.

Prophecy Simple Data Labs seeks a Staff Software Engineer based in Bengaluru, Karnataka. The position centers on creating and maintaining software that transforms data into insights for business use. Key responsibilities Design, build, and support software systems that handle growth and remain dependable over time Use advanced engineering skills to address complex technical problems Collaborate with colleagues to deliver solutions aligned with business objectives Role overview This role emphasizes scalable development and ongoing support for software that helps organizations make sense of their data. Success in this position requires both technical expertise and teamwork.

P-1403 At Databricks, we are dedicated to empowering data teams to tackle some of the most formidable challenges in the world—from turning the next generation of transportation into reality to hastening the discovery of medical innovations. We achieve this by constructing and managing the premier data and AI infrastructure platform, enabling our clients to leverage profound data insights to drive business improvements. Data ingestion into the Lakehouse is a critical investment area for Databricks and serves as a vital facilitator for Data and AI workflows. The Lakeflow Connect initiative aims to address this need by offering intuitive, point-and-click connectors for a diverse range of sources, including enterprise applications (such as Salesforce, Workday, ServiceNow, SharePoint), databases (like SQL Server), cloud storage, message queues, and local files. As an integral component of Lakeflow and Data Engineering, Connect is also a fundamental platform capability. Every interface within Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion functionalities, and the lead for this role will collaborate closely with other products to seamlessly integrate Connect into these interfaces. We seek engineers with a strong background in core database internals to join our Lakeflow Connect team. A crucial aspect of Connect involves extracting data from OLTP systems while minimizing the impact on production systems. To accomplish this efficiently, we are developing systems that utilize techniques like incremental data capture and log parsing. We are looking for hands-on engineers eager to make a significant impact on a critical challenge for the company.

P-1346 At Databricks, we are committed to empowering data teams to tackle some of the most challenging global issues — from transforming the future of transportation to speeding up medical advancements. Our mission is fulfilled by developing and maintaining the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their business operations. Founded by engineers who prioritize customer satisfaction, we eagerly embrace every challenge, whether it’s creating next-generation UI/UX for data interaction or expanding our services across millions of virtual machines. Our Databricks Mosaic AI presents a groundbreaking data-centric method for constructing enterprise-grade Machine Learning and Generative AI solutions, allowing organizations to securely and cost-effectively manage ML and Generative AI models, enriched or trained with their own data. The Money team at Databricks is dedicated to maximizing the value our customers gain from their data project investments. We achieve this through innovative monetization strategies, precise billing, cost optimization instruments, intelligent resource management, and advanced engineering practices. Our goal is to deliver a seamless and coherent experience across all Databricks products for our clients. As one of the initial engineers for the Money team at Databricks India, you will play a vital role in establishing the foundation for one of Databricks’ core engineering teams. You will be responsible for essential components that support our products, beginning with Databricks’ resource admission control and usage governance framework. Your contributions will be pivotal in harmonizing various business requirements, including abuse prevention, product commercialization processes, and ensuring reliable product availability at scale. You will collaborate closely with infrastructure and product teams to deliver critical governance features to Databricks customers. Your Impact: Oversee Money systems and services that regulate the usage of all Databricks offerings. Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, testing frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Work alongside platform and product teams to design and implement innovative infrastructure that adapts to evolving requirements. Provide leadership in the long-term vision and requirement development for Databricks products, in collaboration with our engineering teams. Represent Databricks at academic and industry conferences & events.

Join SanDisk as a Staff Engineer in Firmware Engineering, where you will play a vital role in the design and development of innovative firmware solutions for our cutting-edge storage products. You will collaborate with cross-functional teams to deliver high-quality firmware that meets the evolving needs of our customers and the industry.

Join Bosch Automotive Electronics India as a Senior Engineer or Assistant Manager specializing in AppEx development and data analytics. In this dynamic role, you will be responsible for the development, maintenance, and enhancement of web applications, integrating APIs and databases through low-code platforms like OutSystems, NodeRed, and Oracle APEX.Your key responsibilities will include defining requirements for digitalization projects in collaboration with clients, leveraging data analysis tools such as KNIME and Python to derive actionable insights, and proficiently managing databases using SQL to ensure data integrity and availability.You will also be tasked with developing low-code solutions to streamline processes, leading software implementation projects to ensure successful delivery, and creating engaging data visualizations with Power BI to support the Plant Quality Champions.Collaboration is key in this role, as you will work closely with cross-functional teams, designers, and project managers, while also demonstrating a strong work ethic characterized by reliability, independence, and a solution-oriented approach. Your enthusiasm for exploring new paths in data analysis and project management will be crucial to your success.Additionally, you will conduct application testing, align manufacturing project schedules with production timelines, support the integration of Manufacturing Execution Systems (MES), and engage in technical discussions with various departments.