Cisco

Senior Data Engineer (Snowflake, Lang Graph and Lang Chain)- AI, Hybrid

Cisco • $139K — $203K *
Raleigh, NC 27610In-Person
Information Technology
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's in Computer Science, Data Engineering, AI/ML, Data Science, or equivalent 8+ years of related development experience, or Master's with 5+ years.
  • 4+ years of hands-on Data Engineering experience with Snowflake, DBT, and data modeling.
  • Experience designing AI orchestration systems using Lang Graph and Lang Chain.
  • Proficiency in SQL, Python, Java, or Scala as applicable to data engineering.
  • Demonstrated expertise in building complex data architectures and pipelines.
  • Proven experience with cloud-based storage and distributed data structures.

Responsibilities

  • Design and implement scalable data architectures for high-volume datasets.
  • Maintain data quality through validation and thorough data scrubbing techniques.
  • Collaborate with data scientists to resolve complex business problems and enhance data outputs.
  • Lead moderately complex projects and drive technical analysis from design to completion.
  • Design reporting and visualization tools that directly connect data outcomes to business goals.

Benefits

  • Hybrid work model
  • Opportunities for professional development and training
  • Collaborative work environment with global teams
  • Access to cutting-edge data technologies and tools
  • Possibility to work on impactful AI/ML projects
Full Job Description
The application window is expected to close on: 09/05/2026
This position is based in North Carolina and operates under a hybrid work model.

Your Impact

As a Senior Data Engineer, you will design, build, and oversees the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately, and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data and to maintain, defend, and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.

Key Responsibilities:

  • Data Engineering & Architecture: Design and implement scalable data architectures to store, process, and analyze high-volume datasets. Manage the development of robust data pipelines, improve feature engineering, and apply deep knowledge of databases, cloud services, and scripting languages to build innovative models.
  • Quality, Security, & Compliance: Maintain high data quality through rigorous validation, scrubbing, and imputation techniques. Write clean, functional code with unit tests, conduct thorough code reviews to identify risks, contribute to feature threat modeling, and ensure adherence to data compliance and security standards.
  • Collaboration & Business Impact: Partner with data scientists and business stakeholders to articulate and resolve complex problems. Design reporting and visualization tools that communicate actionable insights and link data outcomes directly to business goals.
  • Project Leadership & Strategy: Lead moderately complex, end-to-end projects and drive technical analysis from initial design through completion. Recommend optimal data sources, methodologies, and analytics tools to address evolving business needs.


Minimum Qualifications

  • Bachelor's in Computer Science, Data Engineering, AI/ML, Data Science, or equivalent 8+ years of related development experience, or Master's with 5+ years.
  • 4+ years hands on Data engineering experience on Snowflake, Snowflake Intelligence/Co-work, DBT, Query optimization and performance, Data modeling and schema design, Incremental processing and pipelines, Data quality and validation, Optimize database query performance, Warehouse architecture and scaling, Cost optimization strategies, ETL/ELT tooling and orchestration.
  • Design and implement complex AI agent orchestration systems using Lang Graph and Lang Chain for enterprise-scale automation.
  • Proficiency in programming languages commonly used in data engineering (e.g., SQL(Snowflake), Teradata, Sophisticated Python, Java, Scala, etc.).
  • Demonstrated expertise in designing and maintaining complex data architectures and pipelines.
  • Proven experience in data engineering, specifically with cloud-based storage and distributed structures.
  • Experience managing data validation, scrubbing, and correlation methodologies for large-scale datasets.


Preferred Qualifications

  • Experience applying AI and machine learning techniques to data engineering problems.
  • Hands-on experience in developing and deploying AI/ML solutions in enterprise production environments.
  • Experience with large language models (LLMs), transformer architectures, and advanced AI frameworks
  • Advanced degree in AI/ML, Computer Science, or related technical field
  • Deep knowledge of vector databases, retrieval-augmented generation (RAG), and semantic search systems.
  • Expertise in generative AI, prompt engineering, and model fine-tuning techniques
  • Experience with responsible AI practices, model governance, and enterprise AI ethics frameworks
  • Experience with multi-agent AI and MLOps tools like Kubeflow.
  • Strong analytical skills with the ability to identify patterns and determine appropriate problem-solving approaches.
  • Excellent communication skills, with the ability to collaborate effectively across global teams and business units.
  • Experience in threat modeling and ensuring data security and privacy compliance within data pipelines

About Cisco

Cisco Careers

Join the vibrant team at Cisco, a global leader in networking and cybersecurity solutions, where innovation and leadership thrive. Cisco offers a plethora of job opportunities that cater to a range of skills and experiences, making it an ideal place for both seasoned professionals and those seeking an internship to jumpstart their career. Work You’ll Do At Cisco, you’ll be part of a culture that values diversity, leadership, and professional growth. Engage in work that matters with a team that combines technology, creativity, and the power of human connection to redefine networking. Cisco’s commitment to innovation isn’t just about technology, but also about transforming the way we work and collaborate. Cisco’s employment philosophy supports career advancement and nurtures a leadership pipeline that is equipped with diversity training and opportunities for growth. Whether you’re applying your skills to drive our latest innovations or using our vast networking capabilities to solve complex problems, at Cisco, every role is impactful. Join Our Dynamic Team Explore job opportunities in areas ranging from engineering to marketing, sales to cybersecurity. Cisco is hiring individuals who are passionate, curious, and ready to drive change. Positions at Cisco offer competitive benefits, a supportive culture, and the chance to work with cutting-edge technology. Internship Programs Kickstart your career with a Cisco internship. Gain invaluable industry experience, enhance your resume, and build professional networks that last a lifetime. Our internships provide hands-on experience and the chance to work on projects that matter. Leadership and Development Cisco is committed to fostering leadership skills and providing employees with the training needed to succeed. Our leadership programs help you develop new skills, manage teams effectively, and lead with confidence. Cisco’s commitment to professional development ensures that your career path is as dynamic as our technologies. Benefits and Culture Cisco understands the importance of a balanced life. Our benefits package is designed to ensure that our team members are healthy, happy, and secure. At Cisco, you’ll find a supportive culture that encourages open communication, teamwork, and mutual respect. Stay Connected Join Cisco’s Talent Network Stay informed about new positions that match your skills and interests. At Cisco, we value the curiosity and unique perspectives of our team members. Subscribe to receive personalized job alerts and insider tips directly from our hiring managers. Explore Cisco Jobs Ready to advance your career at Cisco? Search open positions, prepare your resume, and get ready for an interview that could lead to your next big opportunity. At Cisco, we’re not just filling positions—we’re investing in leaders. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities that await you at Cisco.
Learn more about Cisco
Size
79,500 employees
Market Cap
$194.5 billion
Industry
Telecommunications & Hardware
Net Income
$10.1 billion
Founded
2014
5 Year Trend
+1.4%
Revenue
$48 billion
NASDAQ
CSCO
* Ladders Estimates

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