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Experience Level
Mid to Senior
Qualifications
Proven experience in data analytics engineering or a related field. Strong proficiency in data modeling, ETL processes, and analytics tools. Expertise in programming languages such as Python, R, or SQL. Excellent problem-solving skills and ability to work collaboratively in a team environment. Advanced degree in Computer Science, Data Science, Engineering, or a related discipline is preferred.
About the job
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 SanDisk
SanDisk, a leader in flash storage solutions, is committed to innovation and excellence. Our diverse team works collaboratively to develop advanced storage technologies that empower businesses and consumers worldwide. Join us and be part of a culture that values creativity, teamwork, and professional growth.
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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 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.
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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.
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.
Nagarro is seeking a highly motivated Associate Staff Engineer to join our dynamic engineering team focused on cloud solutions. As a key member of our team, you will have the opportunity to work on innovative projects that leverage cutting-edge cloud technologies. Your role will involve designing, developing, and implementing cloud-based applications, ensuring high performance and responsiveness to requests from the front end.
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.
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Join our innovative engineering team as an Associate Staff Engineer specializing in Frontend React. In this role, you will be at the forefront of developing dynamic and responsive web applications that improve user experience and engagement. You'll collaborate with cross-functional teams to design, implement, and optimize front-end solutions using React and other modern technologies.
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...
Role overview The Associate Staff Engineer position at Nagarro centers on SAP Financial Management, based in Bengaluru. This role partners with the engineering team to develop and enhance financial solutions, aiming to help clients streamline their operations through customized SAP implementations. What you will do Work with colleagues across different disciplines to design SAP solutions tailored for financial management needs. Implement and refine SAP systems to align with specific client requirements and meet industry standards. Apply technical expertise to projects that support operational improvements for client organizations.
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KnowBe4 is recognized for its work in Human Risk Management, serving over 70,000 organizations worldwide for more than 15 years. The company develops AI-driven solutions that help businesses protect their workforce and digital agents from evolving security threats. Its HRM+ system brings together ongoing risk assessments, technical safeguards, and customized training. This combination helps organizations build resilient security cultures and manage risks related to human behavior, including new challenges like deepfakes and AI-powered attacks. KnowBe4 also emphasizes the importance of collective resilience. The company is committed to safeguarding people, data, and the environment, aiming to reduce cyber risks while supporting positive environmental impact.
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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.
Jan 28, 2026
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