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Data Analytics Engineer Jobs

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Explore current data analytics engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

E
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

E
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

E
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is searching for a Senior Manager, Regional Sales to lead our Mid-Market General Business team. This is a great opportunity to take on a high-potential segment for Elastic and drive existing and new logo growth by implementing a repeatable, scalable GTM motion for the team. Are you an accomplished Sales Leader who has experience leading Mid-Market teams? Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you! What You Will Be Doing: Leading a team of mid-market account executives to exceed bookings targets Developing comprehensive knowledge of our technology platform, product messaging, partner ecosystem, and competitor landscape Actively contributing to and owning sales plan creation, compensation structures, and customer segmentation Ensuring the attainment of assigned sales quotas by ‘leading from the front’ and driving Elastic’s sales methodology Actively fostering an environment of teamwork, transparency, creativity, and continuous improvement Establish and maintain collaborative relationships with representatives of the Open Source community and partner ecosystems Travel regularly to assist in deal creation and closure, as well as meet any managerial needs and provide support to your team as required. Partnering across Elastic’s leadership community to ensure a seamle

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. About Celonis Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and operational intelligence to create a living digital twin of the enterprise that AI can understand—turning AI's operational blind spots into operational clarity. By providing the essential business context that AI agents and tools need to act effectively, Celonis makes AI truly enterprise-ready. Industry-leading companies around the world trust Celonis and its global partner ecosystem to make their AI agents, people, systems, and processes work together to achieve transformational outcomes. Headquartered in Munich, Germany, and New York City, USA, Celonis operates globally with over 20 offices worldwide. About the Role Based at our global headquarters in Munich , as a Business Transformation and Value Consulting Manager / Director (internal title: Value Engineering Manager / Director) for CPG & Retail , you will hold full operational and leadership responsibility specifically for the CPG & Retail segment across the DACH region . In this role, you will le

artificial intelligenceaisupply chain
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. About Celonis Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and operational intelligence to create a living digital twin of the enterprise that AI can understand—turning AI's operational blind spots into operational clarity. By providing the essential business context that AI agents and tools need to act effectively, Celonis makes AI truly enterprise-ready. Industry-leading companies around the world trust Celonis and its global partner ecosystem to make their AI agents, people, systems, and processes work together to achieve transformational outcomes. Headquartered in Munich, Germany, and New York City, USA, Celonis operates globally with over 20 offices worldwide. About the Role Based at our global headquarters in Munich , as a Value Engineering Manager / Director for CPG & Retail , you will hold full operational and leadership responsibility specifically for the CPG & Retail segment across the DACH region . In this role, you will lead a dedicated, high-performing team of 6–7 Value Engineers operating at the intersectio

artificial intelligenceaisupply chain
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D
Databricks
📍 Atlanta• Remote• $180K – $247.5K/yr
12 days ago

CSQ427R310 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the wo

REMOTEpythonsqlai
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Z
Zscaler
📍 Boston• Remote• $44.6K – $63.8K/yr
12 days ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sales Development Representative to join our team. This is a Hybrid role, reporting to the Manager of Sales Development in the Sales Development department. You will have the opportunity to be a key contributor to Zscaler’s sales pipeline and revenue growth through lead qualification. This is a hybrid onsite role that requires 2 days a week in the office (Plano, TX/Raleigh, NC/or Boston, MA) . What you’ll do (Role Expectations) Researching and prospecting into organizations by emailing, calling, networking and other creative means to lead early stage pipelines Qualifying and scheduling well qualified appointments with main decision makers within global 2000 or "targeted" companies through inbound and outbound leads Utilizing the CRM to maintain accurate activity, contact, and account information of all customers and prospects Who You Are (Success Profile) You act like an owner. Your passion f

REMOTEaisalesforcecustomer service
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RJ
12 days ago

About the Team & Role The Platform Security Engineering team builds the security features and frameworks that every Rubrik product runs on protecting hundreds of petabytes of data across thousands of enterprise customers globally , from encryption and certificate management to access control and platform hardening at scale. We're a small team with massive impact: the problem space covers the entire Rubrik portfolio, from performant core backend architecture to the AI-powered engineering workflows we and the rest of Rubrik now build with daily. This is a strong opportunity for new grads and early-career engineers who want real ownership on security-critical systems. You'll help solve problems like: How do we roll out post-quantum cryptography across the backup data path before it's an industry requirement? How do we let customers manage sessions and access against compromise, at enterprise scale? How do we build an access control engine that holds up against dynamic, customer-defined policies unique to a data management platform? How do we secure the AI agents and agentic developer workflows that are now embedded in how Rubrik engineers ship code? You'll work alongside experienced engineers and deeply technical managers who will mentor you as you grow, on a roadmap with genuine business impact. What You'll Do Security feature development Design and steer AI to write clean, well-tested code in Go, Scala, or Python for scalable, secure platform services. Collaborate with senior engineers on system design and architecture decisions. Identify attack surfaces and build solutions to harden Rubrik products. Triage, debug, and drive product/system issues to resolution with clear ownership. Use AI coding assistants and agentic workflows as a core part of your daily engineering, while learning to treat AI-generated code as untrusted input that gets the same security scrutiny as any other contribution. Security code and design reviews Review code and design docs from

pythonjavaaws
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E
Elastic
📍 United States• $107.5K – $170.1K/yr
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Are you looking to make a real impact and play a meaningful role in the growth of our company? As a Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and tackle our customer’s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be passionate about perfection; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo. What You Will Be Doing Serving as the technical point of contact for your accounts and account managers in your assigned territory. Developing a deep understanding of customers’ goals and objectives, and articulating how our offerings address their needs. Crafting and owning value based relationships at all levels in customer organizations. Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win. Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences. Advising the sales team on effective ways of positioning Elasti

Z
Zscaler
📍 Maryland• Remote• $201K – $251.3K/yr
12 days ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Manager, Sales Engineering - Federal DoW to join our team. This is a Remote (DC Metro Area) role, reporting to the Federal Sales Engineering Director in the Zscaler Public Sector department. The Senior Manager, Sales Engineering - Federal DoW provides direction and specialist knowledge to Sales Engineers supporting Federal Agencies and their missions. Working in close partnership with the Sales leadership, this role directs Sales Engineering resources through the entire sales cycle while delivering technical and functional leadership. You will play an instrumental role in account planning and strategy, serve as a key advisor to customers for long-term success, and actively develop team capability through coaching and high-impact execution. What you’ll do (Role Expectations) Drive increased execution on building technical champions across our customer base Lead the recruiting, training, and o

REMOTEai
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E
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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