1,000+ matching jobs for “Automation Engineer”How results work Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.
… to establish safe, compliant, capable, and efficient operations at the receiving site. The Staff Engineer independently leads complex studies, provides robust equipment and FTE estimates, and drives measurable …
Added Oct 27, 2026
Pay posted by employer $70,400–$105,600
Summary As an entry-level AI Engineer , you will help design, build, integrate and operate AI-enabled applications for engineering and industrial …
Added Oct 27, 2026
Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling …
Added Oct 27, 2026
Pay posted by employer $92,300–$166,850
… timelines, track progress, and address any issues that arise during the deployment lifecycle. Design, engineer , and implement local area networks (LANs), wide area networks (WANs), Data Center networks, and other …
Added Nov 6, 2026
Pay posted by employer $77,500–$176,000
Network Engineer The Opportunity: As a Network Engineer, you will help maintain and execute a network of simulators and …
Added Oct 28, 2026
Pay posted by employer $61,900–$141,000
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means …
Added Oct 27, 2026
Pay posted by employer $61,900–$141,000
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means …
Added Oct 27, 2026
Pay posted by employer $77,500–$176,000
Database Engineer The Opportunity: A well‑architected, fully secured data ecosystem is essential for enabling the Department …
Added Oct 27, 2026
… ultimately enhancing operational efficiency and data-driven decision-making at scale Your Impact As a Data Engineer , you will play a critical role, driving end to end solutions in alignment with AI ready Data Architecture …
Added Oct 27, 2026
As a Warehouse Engineer , you are responsible for managing and optimizing warehouse and material operations, including Receiving, …
Added Nov 3, 2026
Pay posted by employer $89,210–$133,810
… areas that leverage digital capabilities, technology and operational excellence. As the Manufacturing Engineer , you will provide technical expertise necessary to design all aspects of production, costs, quality, …
Added Oct 27, 2026
In person Full time Regular The Customer Technical Services (CTS) Engineer provides technical support to customers and manufacturing plants in the areas of seaming and capping …
Added Nov 10, 2026
Pay posted by employer $150,000–$155,000
… Create and maintain data dictionaries for contextualizing data from disparate sources. Enable end-to-end automation for deployment using continuous integration and continuous delivery. Implement data pipelines to ingest …
Added Nov 3, 2026
The Electrical Engineer is responsible for the electrical engineering needs of the company as we explore and produce our land-based …
Added Nov 3, 2026
In person Full time Regular The Customer Technical Services (CTS) Engineer provides technical support to customers and manufacturing plants in the areas of seaming and capping …
Added Oct 27, 2026
… the team that powers our iconic brands? Here’s what you’ll be doing: We are currently looking for a Data Engineer to join our industry leading Data & Analytics team who is passionate about Business Units specific …
Added Oct 27, 2026
… mentality in aerospace. We are a team of the nation’s best, regardless of where we live. The Tooling Engineer is responsible for designing, developing, and maintaining tools, fixtures, jigs, and related equipment that …
Added Oct 27, 2026
… care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Manufacturing Engineer , you are responsible for developing and maintaining methods, operating sequences, and processes in the …
Added Oct 27, 2026
… care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Manufacturing Engineer , you are responsible for developing and maintaining methods, operating sequences, and processes in the …
Added Oct 27, 2026
… care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Manufacturing Engineer , you are responsible for developing and maintaining methods, operating sequences, and processes in the …
Added Oct 27, 2026
Minimum Qualifications · employer excerpt Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of progressive experience in data engineering, with a proven track record in architecting and leading cloud data warehousing and modern data platform implementations. 4+ years of experience leading or architecting AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP. Expert-level proficiency and architectural leadership with the Snowflake Data Cloud, encompassing its advanced features, security model, and operational best practices. Expert-level proficiency and strategic application of dbt (Data Build Tool) for designing, developing, and maintaining complex data models, including automated testing and CI/CD integration. 2 more in the full description below.
About this opportunity Original employer description Meet the Team
Join Cisco's Commerce Intelligence Data & Analytics team, a strategic group at the forefront of delivering seamless intelligence, advanced analytics, and cutting-edge agentic experiences across our global business operations. Our mission is to architect and build a scalable, unified, and AI-ready data foundation that not only drives high-impact business decisions but also enables automated actions at an enterprise level. We achieve this by blending innovation, deep process knowledge, technical expertise, and a relentless focus on business impact, ultimately enhancing operational efficiency and data-driven decision-making at scale Your Impact
As a Data Engineer, you will play a critical role, driving end to end solutions in alignment with AI ready Data Architecture vision. You will lead projects with deep understanding of complex operational processes, explore diverse source systems, and analyze intricate data platforms to design and implement robust, scalable data and agentic solutions that address critical commerce operational needs. Your expertise will be pivotal in designing, building solutions for long-term maintainability of our robust data ecosystem, enabling advanced analytical capabilities, AI, and agentic solutions by collaborating with extended team across various time zones. You will be responsible for end-to-end ETL/ELT pipeline development for both structured and unstructured data, ensuring optimal data threading and transformation within our Golden layer. A key aspect of your role will be collaborating extensively with team at onsite, business functions and other engineering teams to architect and own a reusable semantic layer, strategically powering consumption across AI, agentic solutions, dashboards, and various enterprise applications. You will also mentor junior engineers and champion best practices across the team. Responsibilities Lead complex exploratory data analysis initiatives to identify strategic trends and patterns within structured and unstructured datasets, informing architectural decisions. Drive the translation of highly complex business requirements into strategic, scalable, and resilient data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW). Architect, design, and oversee the development and optimization of highly scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud, ensuring performance and reliability. Define standards for, and oversee the development and maintenance of, high-quality, analytics-ready data models using dbt, emphasizing modular design, reusability, rigorous testing, and CI/CD integration. Lead the design and implementation of a reusable semantic layer that adheres to enterprise architectural standards and supports diverse, high-volume consumption patterns (AI, agentic solutions, dashboards). Drive the integration of Snowflake Cortex and other AI/LLM capabilities directly into data pipelines, enabling advanced analytics and intelligent automation. Lead the design and development of advanced data consumption layers, including sophisticated dashboards, reports, conversational analytics, and agentic solutions. Applies working knowledge of databases, relational databases, cloud services, and scripting languages Contributes to data quality and compliance, including cleansing and scrubbing of data, data integrations and data quality framework Establish and champion best practices for data quality, observability, lineage, governance, and access control across our AI-ready data architecture, ensuring data trust and compliance. Serve as a technical liaison, collaborating strategically with data architects, analysts, and business stakeholders to define and execute long-term data strategies and roadmaps. Work in partnership and guidance from the core team at onsite Drive the establishment and continuous improvement of technical governance, CI/CD best practices, and rigorous version control standards to ensure the integrity, security, and scalability of our modern data stack. Experience with cloud-native services for data processing and orchestration (e.g., AWS Glue, Lambda, Step Functions, GCP Dataflow, Cloud Composer). Demonstrated experience applying Agile, Scrum, or Kanban methodologies within a data engineering environment. A self-starter with proven expertise to deliver outcomes with minimal supervision Provide technical guidance and mentorship to junior data engineers, fostering a culture of excellence and continuous learning. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of progressive experience in data engineering, with a proven track record in architecting and leading cloud data warehousing and modern data platform implementations. 4+ years of experience leading or architecting AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP. Expert-level proficiency and architectural leadership with the Snowflake Data Cloud, encompassing its advanced features, security model, and operational best practices. Expert-level proficiency and strategic application of dbt (Data Build Tool) for designing, developing, and maintaining complex data models, including automated testing and CI/CD integration. Mastery in SQL and Python, with a focus on scalable data processing, automation, and API integration. Extensive experience (7+ years) with leading BI/reporting tools such as Sigma or Power BI, with a deep understanding of data visualization best practices. Preferred Qualifications Demonstrated expertise in implementing and managing data quality, observability, and lineage frameworks and tools across enterprise data pipelines.Deep architectural understanding and practical application of advanced Snowflake capabilities (e.g., zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, MCP gateways). Proven track record in defining and implementing enterprise-level data and solution architectures, including experience with data mesh or data fabric principles. Comprehensive understanding of the broader analytics ecosystem, including diverse BI/reporting tools (e.g., Tableau, ThoughtSpot) and complex downstream consumption patterns. Previous experience guiding technical teams and presenting complex technical concepts to senior leadership.Snowflake Gen AI certification preferred
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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