1,000+ matching jobs for “Senior Data 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.
Pay posted by employer $98,000–$176,000
… life. We bring that vision to life through our values and culture. Learn more about Target here. As a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and …
Added Oct 16, 2026
Pay posted by employer $61,900–$141,000
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence …
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 …
Added Oct 27, 2026
Pay posted by employer $62,000–$141,000
Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence …
Added Oct 27, 2026
… smarter, and more connected, shaping the future of transportation on a global scale. The Role The AV Fleet Data Engineering team is responsible for the design, requirements, integration, validation, and execution of E2E …
Added Oct 12, 2026
Pay posted by employer $110,000–$207,500
We are looking for a Senior hands-on Data Engineer for Cloud Data Lake design and development. The candidate should have Financial …
Added Oct 27, 2026
… diverse, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information …
Added Oct 27, 2026
+1 location
The Role We are seeking a Senior Data Engineer to join our Motorsports Data Engineering team , building next-generation data platforms that power …
Added Oct 12, 2026
… smarter, and more connected, shaping the future of transportation on a global scale. The Role The AV Fleet Data Engineering team is responsible for the end-to-end design, requirements, integration, validation, and …
Added Oct 12, 2026
+5 locations
Pay posted by employer $114,080–$218,030
… military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer - Data Protection, you will be responsible for designing, implementing, …
Added Oct 27, 2026
Meet the Team Join Cisco's Commerce Intelligence Data & Analytics team, a strategic group at the forefront of delivering seamless intelligence, advanced …
Added Oct 27, 2026
… division within the Space and Airborne Systems Engineering and Test Capability (SE&TC) Center is seeking a Senior Data Analyst Systems Engineer with experience in tools development and data analysis supporting the …
Added Oct 27, 2026
• Lead the design and orchestration of complex data pipelines and ETL processes, focusing on optimizing data models. • Architect scalable data solutions, …
Added Oct 27, 2026
In person Full time Regular brings together data science, foundational models, retrieval systems, and reusable AI services to create reliable, governed, and …
Added Oct 16, 2026
P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We …
Added Oct 4, 2026
… your profession at one of the world’s leading financial services institutions. Your Team & Role As a Senior Data Engineer you will analyze , design, develop, test, and perform ongoing maintenance to build high quality data …
Added Oct 27, 2026
… initiative, promoting agility and work/life balance. P&G's corporate function IT organization is seeking a Senior Data Engineer , located at the Hyderabad IT Hub. Specifically, this position works within a Data & AI group that supports …
Added Oct 27, 2026
+1 location
Pay posted by employer $152,000–$228,000 USD
… trusted intelligence needed to protect the enterprise at scale. About the Role We are seeking a powerhouse Senior Data Engineer to serve as the Subject Matter Expert (SME) for Data Platform and Lakehouse Architecture . In this role, …
Added Oct 27, 2026
… 
 OVERVIEW Are you a database expert who thrives in a fast-paced, multi-platform environment? As a Senior Infrastructure Engineer on our Digital & Technology team, you will lead the migration and modernization of …
Added Oct 27, 2026
+3 locations
Sr. Staff Data Engineer (Remote -Eligible) As a Senior Staff Data Engineer at Capital One, you will be part of a community …
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.
Disclaimer
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