Senior Data Engineer – Apache Spark | Kafka | Flink | Trino | Iceberg | Big Data | Streaming | Data Platform 8–12 Years
Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform at Webex. The platform forms the base on which other teams, including the WAP team, develop their analytics and data pipelines.
We are looking for a hands-on Senior Data Engineer to join a high-impact data engineering team with a focus on developing the data platform and working with the product team to develop data and analytics pipeline.
Your Impact- Work and enhance big data related opensource technologies.
- Build and operate Kafka-based streaming applications, including ingestion, filtering, enrichment, and replication use cases.
- Develop data processing jobs using Apache Spark and/or Apache Flink, following established patterns and platform guidelines.
- Work with data lake technologies (Apache Iceberg) to manage large analytical datasets.
- Tune jobs for performance, scalability, and cost efficiency.
- Write clean, testable code and participate actively in code reviews.
- At least 8-12 years of experience in data engineering and software development.
- Ability to work with opensource ecosystem.
- Ability to write high-quality code in Java/Scala, Python, or equivalent languages.
- Practical experience with Apache Spark and Apache Flink.
- Practical experience with query engines like Trino/Presto.
- Experience working with Kafka and scaling for high volume workloads.
- Strong SQL skills and understanding of data modeling for analytical workloads
- Hands-on experience with real-time analytics stores like Apache Pinot/Clickhouse for low-latency analytical queries.
- Familiarity using AI Tools for debugging and development (CoPilot, Cursor, Codex).
- Familiarity with data lake table formats such as Apache Iceberg.
- Familiarity with data governance tools like DataHub.
- Experience working with tools like DolphinScheduler or Airflow.
- Experience working with Lakehouse management systems like Apache Amoro.
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.
Skills Required
- 8-12 years of experience in data engineering and software development
- Ability to work with open source ecosystem
- Proficient in Java, Scala, Python or equivalent languages
- Practical experience with Apache Spark
- Practical experience with Apache Flink
- Experience with query engines like Trino or Presto
- Experience working with Kafka and scaling high-volume workloads
- Strong SQL skills and understanding of data modeling for analytical workloads
- Hands-on experience with real-time analytics stores like Apache Pinot or ClickHouse
- Familiarity with AI tools for debugging and development (CoPilot, Cursor, Codex)
- Familiarity with Apache Iceberg and data lake table formats
- Familiarity with data governance tools like DataHub
- Experience with workflow/orchestration tools like DolphinScheduler or Airflow
- Experience with lakehouse management systems like Apache Amoro
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage, mental health support via an EAP, and access to on-site or virtual health centers indicate robust healthcare offerings. Wellness programs, fitness resources, and specialized services further reinforce coverage depth.
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Leave & Time Off Breadth — Generous PTO, a global minimum for paid parental leave, and unique programs like company-wide recharge days and paid volunteer time expand time-away options. Additional offerings such as Critical Time Off and adoption assistance add flexibility for life events.
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Equity Value & Accessibility — Restricted stock units and a discounted employee stock purchase plan are meaningful elements of total compensation. The prominence of equity can materially augment overall pay packages alongside salary and bonuses.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
