Data Engineer

Meet the Team

Cisco's Centralized Analytics Team builds and operates the data platform and analytics foundations that Cisco's pricing, reporting, and AI initiatives run on. The team owns the path from enterprise data warehouse through to governed, self-service analytics — delivering trustworthy data products, semantic models, and serving layers to partner organizations including the Pricing Team. You will work at the intersection of data engineering, platform engineering, and data governance, enabling analytics and AI teams to build on data they can trace and trust.

Your Impact

-Design, build, and operate batch and streaming data pipelines on Snowflake and/or Databricks

-Turn reference architectures and data contracts from the Principal AI Data Architect into robust, production-grade implementations

-Deliver reliable, observable, cloud-native ETL/ELT for both structured and unstructured data

-Modernize legacy jobs with measurable gains in latency, reliability, and cost

Implement the semantic models, dimensional schemas, and entity-centric structures that make data trustworthy and reusable

-Maintain the metadata, catalog, and lineage that let any downstream consumer trace an output back to its source

-Build the low-latency APIs, materialized views, and serving layers that power dashboards, reporting, and ML/AI applications

-Embed data quality checks, RBAC/ABAC, masking, and encryption directly into your pipelines

-Instrument workflows with logs and metrics so failures are caught before consumers see them

-Automate testing, deployment, and rollback through CI/CD — a pipeline isn't "done" until it's tested, observable, and in an automated deployment workflow

Minimum Qualifications:

-Bachelor's degree in Computer Science or a related field

5–8 years of hands-on data engineering or software engineering experience building production data platforms

-Cloud Data Platforms – Proven experience building and operating cloud-native pipelines on Databricks (PySpark, Delta Lake) and/or Snowflake, with modern orchestration tooling (Airflow, dbt, Dagster, or equivalent).

-Batch & Streaming Processing – Strong production experience with both batch and streaming data processing (Kafka, Spark Structured Streaming, Kinesis, or equivalent).

-Python, SQL & Data Modeling – Strong Python and SQL, with data modeling depth across dimensional, star/snowflake, and entity-centric patterns, and a track record of performance and cost tuning.

-Data Quality & Observability – Practical experience implementing data quality checks, monitoring, and observability for production pipelines.

-Cloud, CI/CD & Containers – Hands-on with AWS and/or Azure services (S3, Glue, Lambda, ADLS, Data Factory, or equivalents), plus CI/CD (GitHub Actions, Jenkins, Azure DevOps) and containers (Docker/Kubernetes).

-Data Governance – Working knowledge of access control, masking, encryption, lineage, and auditability.

Nice to have qualifications:

-Infrastructure as Code – Practical exposure to Terraform or equivalent IaC tooling for provisioning and managing data infrastructure.

-Search & Vector Platforms – Experience with OpenSearch, pgvector, or similar search and retrieval platforms.

-Knowledge Graphs – Familiarity with graph data stores such as Neo4j and entity-relationship modeling at scale.

-ML & AI Pipeline Exposure – Exposure to embedding pipelines, vector search, MLflow, or ML/LLMOps tooling, and general familiarity with how data pipelines feed model training and inference. Welcome but not required — we'll teach you that side.

-Cloud Cost Awareness – Interest in right-sizing cloud resources and improving the efficiency of automation and data pipelines.

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

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

• be in direct response to an application you have submitted through the company career site
• begin with screening or an interview
• originate from a Cisco email address, and
• be conducted across email, phone, or WebEx

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