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Cisco Data Engineer Jobs (NOW HIRING)

Chabez Tech LLC

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Role: Junior Data Engineer Location: Frisco, TX - (5 days onsite) REQUIRED QUALIFICATIONS • ... Intel, Cisco, Adobe, Palantir, Snowflake Databricks, Twitter / X LinkedIn, Uber, Airbnb Please ...

New

CEDENT

CISCO ACI Engineer

$40 - $60/hr

CCNP (Enterprise or Data Center) or higher * 5+ years of experience in network engineering, with at least 3 years focused on Cisco ACI * Strong understanding of ACI fabric architecture, VXLAN, Spine ...

1 point system

Cisco CVP IVR Engineer

Plano, TX · On-site

Cisco CVP IVR Engineer Plano, TX Onsite Skills: Cisco, CVP, Call Studio, VXML, IVR, Contact Center ... Familiarity with database concepts for data interaction within the IVR system * Contact center ...

Gruve

Senior Data Center Network Architect

Redwood City, CA · On-site

$190K - $225K/yr

The ideal candidate will have strong expertise in Cisco data center ecosystems, advanced AI network ... Collaborate with AI Solutions, Platform Engineering, and customer technical leadership * Create ...

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All JobsCisco Data Engineer Jobs

Cisco Data Engineer information

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$51.5K

$147.5K

$197K

How much do cisco data engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for cisco data engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for data infrastructure, cloud platforms, and big data processing. Skills in SQL, Python, and tools like Apache Spark or Kafka enhance job prospects in this field.

What is the salary of data engineer in Cisco?

The salary of a Cisco Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and specific skills such as proficiency with Cisco networking tools and data processing technologies. Entry-level positions may start lower, while experienced engineers with certifications can earn higher salaries.

Is it hard to get a job at Cisco?

Getting a job as a Cisco Data Engineer can be competitive and typically requires relevant technical skills, such as experience with data pipelines, SQL, and cloud platforms, along with certifications like Cisco or cloud certifications. Candidates often need a strong background in data engineering and may go through multiple interview stages. Success depends on experience, skills, and how well you meet the specific role requirements.

How does a Cisco Data Engineer typically collaborate with network and security teams in a large organization?

As a Cisco Data Engineer, collaboration with network and security teams is essential for ensuring the smooth integration and management of data solutions within the company's infrastructure. You will often work closely with network engineers to optimize data pipelines and troubleshoot connectivity issues, and you’ll coordinate with security teams to ensure that all data processes comply with organizational security protocols. Regular meetings and cross-team projects are common, so strong communication skills and the ability to translate technical requirements between teams are highly valued in this role.

What are the key skills and qualifications needed to thrive as a Cisco Data Engineer, and why are they important?

To thrive as a Cisco Data Engineer, you need a strong background in data engineering, networking concepts, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with Cisco networking products, data management tools, and certifications like Cisco Certified Network Associate (CCNA) or Cisco Certified Network Professional (CCNP) is typically required. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills in this role. These skills ensure efficient design, implementation, and optimization of data infrastructure, leading to robust network solutions and seamless data operations.

What is the difference between Cisco Data Engineer vs Cisco Data Analyst?

AspectCisco Data EngineerCisco Data Analyst
Required CertificationsCisco certifications, data engineering certifications (e.g., AWS, Google Cloud)Data analysis certifications (e.g., Microsoft, Tableau, SAS)
Work EnvironmentDesigning data pipelines, managing databases, cloud platformsInterpreting data, creating reports, visualizations
Employer & Industry UsageTelecommunications, networking, large enterprises

While both roles work with data within Cisco environments, Cisco Data Engineers focus on building and maintaining data infrastructure, whereas Cisco Data Analysts analyze data to generate insights. The roles often collaborate but require different skill sets and certifications.

What are Cisco Data Engineers?

Cisco Data Engineers are IT professionals who design, develop, and manage data infrastructure and solutions using Cisco technologies and platforms. Their responsibilities include building data pipelines, managing data storage, ensuring data security, and optimizing data flow within enterprise networks. They often work with tools such as Cisco Data Center Network Manager, Cisco UCS, and various analytics platforms to support data-driven decision-making. Cisco Data Engineers play a key role in ensuring data is accessible, reliable, and efficiently processed within an organization's network.

What engineer makes $500,000 a year?

A highly experienced data engineer or senior technical roles in specialized fields can earn $500,000 or more annually, especially with extensive expertise in cloud platforms, big data tools, and advanced certifications. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant growth potential.
More about Cisco Data Engineer jobs
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What job categories do people searching Cisco Data Engineer jobs look for? The top searched job categories for Cisco Data Engineer jobs are:
Cisco Data Engineer jobs near you
Infographic showing various Cisco Data Engineer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Data Engineer

Chabez Tech LLC

Frisco, TX • On-site

$107K - $128K/yr

Other

Posted yesterday

Job description

Role: Junior Data Engineer
Location:  Frisco, TX - (5 days onsite)
 
 
REQUIRED QUALIFICATIONS
• Bachelor''s degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field — plus 2+ years of related work experience.
• Must be located in the United States.
• 2+ years of hands-on data engineering experience delivering production data pipelines in enterprise environments.
• Strong proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation.
• Hands-on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
• Hands-on experience with Snowflake at production scale.
• Working experience with Microsoft Fabric including OneLake; familiarity with Fabric IQ semantic layer concepts.
• Working experience building data visualizations and reports in Power BI.
• Experience implementing data ingestion pipelines using batch, CDC, API, or streaming patterns within a unified ingestion framework.
• Solid data modeling skills, including dimensional modeling and lakehouse modeling patterns at the physical implementation level.
• Experience implementing pipeline testing — unit tests, integration tests, data quality checks, and reconciliation.
• Experience with DevOps practices for data pipelines — Git, CI/CD, and automated testing.
• Good communication skills, with the ability to convey technical progress and ask clarifying questions of both technical leads and business stakeholders.
• Strong problem-solving skills and the ability to execute independently on well-defined technical work in a fast-paced, agile environment.
PREFERRED QUALIFICATIONS
• Experience with Iceberg tables or other modern open table formats.
• Experience with HR data domains — talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, ServiceNow HR, or comparable HR systems of record as authoritative sources for analytics.
• Exposure to real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Familiarity with legacy data platforms such as Teradata, Oracle, or SQL Server.
• Azure certifications or demonstrated experience with Azure-native data platform services.
• Familiarity with T-Mobile''s Omni lakehouse platform, MagentaBuilt integrations, or enterprise IT architecture standards.
• Familiarity with data privacy and regulatory compliance for HR data (GDPR, CCPA, employee data protection).
 
Mandatory Areas
Must Have Skills –
Skill 1 – Yrs of Exp –Data Engineering
Skill 2 – Yrs of Exp –Data Bricks
Skill 3 – Yrs of Exp –Python
 
 
Junior candidate from below company
Google, Meta, Amazon, Apple, Netflix, Microsoft, Nvidia, Salesforce, Oracle, IBM, Intel, Cisco, Adobe, Palantir, Snowflake Databricks, Twitter / X LinkedIn, Uber, Airbnb
 
Please ensure that candidates have graduated from the following colleges only with GPA above 3.5
• MIT
• Stanford University
• Carnegie Mellon University
• UC Berkeley
• Caltech
• Georgia Tech
• University of Michigan – Ann Arbor
• Cornell University
• University of Illinois Urbana-Champaign
• Purdue University
• University of Texas at Austin
• University of Washington
• University of Wisconsin – Madison
• Ohio State University
• Penn State University
• University of Maryland – College Park
• Virginia Tech
• NC State University
• University of Minnesota – Twin Cities
• Arizona State University
• University of Southern California
• Northeastern University
• Rensselaer Polytechnic Institute (RPI)
• Drexel University
• Worcester Polytechnic Institute (WPI)

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