Senior Software Engineer (Data Engineering)

Cisco; San Jose (CA); Hybrid; USD 100,000 - 140,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to join their innovative team focused on cloud-based analytics. In this role, you will design and optimize large-scale data pipelines, ensuring high reliability and performance for analytics and business decisions. Your expertise in AWS services and data modeling will drive impactful solutions while collaborating with cross-functional teams. With a commitment to inclusivity and community engagement, this company offers a dynamic environment where your contributions will be valued and recognized. If you are passionate about data and looking to make a difference, this opportunity is for you.

Benefits

Paid Volunteer Time Off

Inclusive Communities

Learning and Development Opportunities

Hybrid Work Environment

Qualifications

• 5+ years in data engineering with AWS and Redshift focus.
• Expertise in building scalable data pipelines and ETL processes.

Responsibilities

• Design and optimize data pipelines using AWS services.
• Collaborate with teams to implement CI/CD workflows and mentor juniors.

Skills

Data Engineering

AWS Services

Python

SQL

ETL/ELT Processes

Data Modeling

Agile/Scrum

Education

Bachelor's Degree in Computer Science

Tools

AWS Glue

Amazon Redshift

Airflow

Git

Docker

Terraform

Job description

The application window is expected to close on 5/16/25.

This position requires that you commute to the San Jose, CA office at least 3 days a week.

Meet the Team

Cisco's SD-WAN vAnalytics team develops Cisco vAnalytics a cloud-based analytics service for Cisco SD-WAN offering comprehensive insights into application and network performance. We are seeking an experienced Software Engineer to join our SDWAN vAnalytics Cloud Infra & Services team.

Your Impact

As a Senior Data Engineer, you will design, build, and optimize large-scale, real-time data pipelines and robust ETL/ELT workflows using AWS services and Amazon Redshift. Your expertise will drive the reliability, scalability, and performance of our data infrastructure, supporting analytics and business decision-making across the organization.

* Data Pipeline Development: Design, build, and maintain scalable data pipelines using AWS services (e.g., Glue, Lambda, Kinesis, Step Functions) to ingest, transform, and load structured and semi-structured data into Redshift and AWS-based data lake

* ETL/ELT Optimization: Automate and optimize ETL/ELT processes for performance, reliability, and cost-effectiveness, leveraging advanced Python scripting and AWS-native tools

* Data Modeling & Integration: Develop and optimize data models and Redshift schemas, integrating diverse data sources and ensuring efficient querying, performance tuning, and workload management

* Infrastructure Management: Oversee the architecture, documentation, and cost management of AWS-based data lakes and Redshift warehouses, ensuring data quality, security, and compliance

* Collaboration & Best Practices: Collaborate with cross-functional teams, implement CI/CD workflows, and mentor junior engineers on AWS and Redshift best practices, including data governance and version control

Minimum Qualifications

* 5+ years of experience in data engineering, with a focus on AWS cloud-based solutions and Redshift

* Proven expertise in designing, developing, and optimizing data pipelines and ETL/ELT processes using AWS services and Redshift, including advanced SQL and Python skills

* Strong experience in data modeling, performance tuning, and integrating structured and semi-structured data (e.g., JSON, Parquet) within Redshift and AWS data lakes

* Experience working in Agile/Scrum environments and collaborating with multi-functional teams

* Bachelor’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications

* Experience with orchestration tools (e.g., Airflow, Step Functions), CI/CD pipelines, and version control (Git)

* Familiarity with data governance, cataloging, and metadata management in cloud environment

* Exposure to containerization tools like Docker and infrastructure-as-code (e.g., Terraform)

* Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders

* The successful applicant will be performing work in a FedRAMP environment, and therefore, be a U.S. Person (i.e., U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee). This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.

\#WeAreCisco

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.