Senior Data Engineer – Snowflake, Lang Graph, Lang Chain

Cisco

. Design, build, and oversee deployment and operation of technology architecture, solutions, and software for structured and unstructured data .

Posted 10/22/2026full-timeNorth Carolina • United StatesSenior💰 $139,300 - $203,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures and pipelines, with a strong focus on AI and machine learning applications. Proficient in data quality management, compliance, and security standards while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data Engineering ExperienceAI/ML Solution DevelopmentSQL ProficiencyData Architecture DesignCloud-Based Storage Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELT ToolingIncremental ProcessingData Quality ValidationPythonJavaScalaSnowflakeLangChainMLOps

Soft Skills

Analytical SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

Snowflake IntelligenceDBTTeradataKubeflowVector DatabasesTransformersGenerative AI

Industry Keywords

Data ComplianceData SecurityAI EthicsMachine Learning TechniquesData Pipelines

Tech Stack

Tools & technologies

CloudETLJavaPythonScalaSQL

About the role

Key responsibilities & impact

Design, build, and oversee deployment and operation of technology architecture, solutions, and software for structured and unstructured data
Establish processes and structures to route and store data from multiple inputs using cloud structures, local databases, and other storage forms
Develop AI, machine learning, and big-data tools to cleanse, organize, transform, and maintain data structures and integrity
Create design standards and assurance processes for software, systems, applications, data connections, flows, and storage
Review business and product requirements and recommend system and storage changes
Design and implement scalable data architectures for high-volume datasets
Manage robust data pipelines and improve feature engineering
Maintain data quality through validation, scrubbing, and imputation
Write clean code with unit tests, conduct code reviews, and contribute to threat modeling
Ensure data compliance and security standards
Partner with data scientists and business stakeholders to resolve complex problems
Design reporting and visualization tools that communicate actionable insights
Lead moderately complex end-to-end projects from initial design through completion
Recommend data sources, methodologies, and analytics tools for evolving business needs

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, AI/ML, Data Science, or equivalent, plus 8+ years of related development experience; or Master's degree plus 5+ years
4+ years of hands-on data engineering experience with Snowflake, Snowflake Intelligence/Co-work, DBT, query optimization and performance, data modeling and schema design, incremental processing and pipelines, data quality and validation, warehouse architecture and scaling, cost optimization, and ETL/ELT tooling and orchestration
Experience designing complex AI agent orchestration systems using LangGraph and LangChain for enterprise-scale automation
Proficiency in SQL (Snowflake), Teradata, Python, Java, Scala, or similar programming languages
Expertise designing and maintaining complex data architectures and pipelines
Experience with cloud-based storage and distributed structures
Experience managing data validation, scrubbing, and correlation methodologies for large-scale datasets
Experience applying AI and machine learning techniques to data engineering problems
Experience developing and deploying AI/ML solutions in enterprise production environments
Experience with LLMs, transformer architectures, and advanced AI frameworks
Knowledge of vector databases, RAG, and semantic search systems
Expertise in generative AI, prompt engineering, and model fine-tuning
Experience with responsible AI, model governance, and enterprise AI ethics frameworks
Experience with multi-agent AI and MLOps tools such as Kubeflow
Experience in threat modeling and data security and privacy compliance within data pipelines
Strong analytical skills
Excellent communication and collaboration skills across global teams and business units

Benefits

Comp & perks

Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short- and long-term disability coverage
Basic life insurance
Cisco restricted stock unit grants may be available, subject to eligibility and continued employment
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation per full calendar year for non-exempt employees
Flexible vacation time off program with no defined limit for eligible exempt employees
80 hours of sick time off provided on hire date and each January 1st, plus up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency family issues
Optional 10 paid volunteer days per full calendar year
Annual bonuses for non-sales roles, subject to Cisco policies
Performance-based incentive pay for sales-plan employees