Data Engineer II (Full Time) - United States

Cisco Systems, Inc.; North Carolina; On-site; USD 60,000 - 95,000; Full time

Job summary

An established industry player is seeking a Data Engineer II to join their innovative team. This role focuses on transforming data into actionable insights to optimize marketing investments and enhance customer experiences. You will work collaboratively across multiple organizations to develop integrated data solutions that leverage machine learning and analytics. The ideal candidate will have a technical background, with proficiency in programming languages like Python and Java, and experience with big-data frameworks. If you're passionate about data and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 0-3 years of experience in data engineering or relevant technical fields.
• Proficient in programming languages and big-data frameworks.

Responsibilities

• Lead the development of integrated data foundations for business intelligence.
• Provide hands-on technical support and quality assurance testing.

Skills

Python

Java

Scala

Data Analysis

Machine Learning

Education

Bachelor's in Engineering

Master's in Computer Science

Certification in Data Science

Tools

MySQL

PostgreSQL

MongoDB

Hadoop

Spark

AWS

Microsoft Azure

Google Cloud Platform

Tableau

Job description

Data Engineer II (Full Time) - United States

Applications are accepted until further notice.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

WHO YOU'LL WORK WITH

You will work with multiple organizations, playing a leadership role in transforming Cisco by developing and implementing analytic models and intelligent automation to drive us toward a data-driven digital organization.

Digital Lifecycle Journey’s (DLJ) digital expertise makes us uniquely qualified to address the evolving expectations of today’s connected customers and partners, along with Cisco sellers. Using real-time connected data, machine learning, and automation; the team enables Cisco sellers and partners to deliver a powerful, personalized experience—throughout the entire customer lifecycle. Digital Lifecycle Journey is focused on providing customers with an immersive digital experience with Cisco. This in turn drives improvements in recurring revenue, cost savings and sales effectiveness for Cisco and its partners.

WHAT YOU'LL DO

• Provide leadership and support for development of integrated data foundations that will enable extensive business intelligence and machine learning for Cisco platforms and extended user communities.
• Work with business partners and IT teams to ensure high quality, on-time deliverables that meet usability, scalability, quality, and performance standards.
• Provide hands-on technical support, research, and quality assurance testing.
• Apply a variety of technologies to ingest, transform, index, aggregate, correlate, provide APIs, visualize, and enable a spectrum of organizations across Cisco.
• Analyze structural requirements for data storage solutions and completeness.

WHO YOU ARE

As a Data Engineer, you are laser-focused on enabling a data-driven approach to optimization by sourcing, maintaining, and ensuring the availability of data used to drive full lifecycle marketing insights to optimize marketing investments and the customer experience. You will integrate both batch and streaming approaches to support standard business intelligence, decision automation, and machine learning requirements. Data engineers help make data easier to understand and consume for others and have led to a pivot to new technologies.

MINIMUM QUALIFICATIONS

• Including but not limited to a graduate/upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-year University.
• Open to 0-3 years of relevant experience or recent graduates or those in the final year of a Master's in Engineering, Computer Science, Data Science, Statistics, or a related program, or holders of equivalent academic certifications.
• Proficient in programming languages: Python, Java, or Scala.
• Experience with databases: MySQL, PostgreSQL, MongoDB.
• Experience with big-data processing frameworks: Hadoop, Spark.
• Experience with cloud services such as AWS, Microsoft Azure, or Google Cloud Platform.
• Able to legally live and work in the country for which you’re applying, without visa support or sponsorship.

PREFERRED QUALIFICATIONS

• Experience with RESTful API design and development for data integration.
• Experience with business intelligence tools such as Tableau.
• Understanding of security standards related to data encryption, secure data transfer, and access controls.
• Knowledge of full-stack development for building comprehensive data solutions.