Data Engineer, Lead Analyst, Enterprise Data and Analytics - Remote

Trusted by more than half of the Fortune 50, Extreme is a market leader in cloud networking. Our innovative solutions help more than 50,000 customers across the globe securely connect devices and applications in new ways, helping to enrich customer experiences, reduce risk, improve operating efficiency, and grow topline revenue.

Extreme Networks

Employee count: 1001-5000

United States only

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
The Data Engineer, Lead Analyst, Enterprise Data and Analytics will be a member of the “Expand” (Extreme Process Analytics and Data Governance) team and is responsible for developing the data flows, ETL/ELT pipelines, data marts, and analytics solutions in support of the global, enterprise data & analytics (EDNA) platform. As part of this team, this position will partner with stakeholders throughout the business to understand data rules, business logic, and reporting and analytics needs to develop a platform of certified data definitions that support both dashboards and ad-hoc, self-service analytics. It includes hands-on development with adherence to architectural and development best practices. This role will support business stakeholders across all functions but primarily will start with Sales, Sales Ops, and Marketing. This position is remote, reporting to the Senior Manager, Data Engineer of the Analytics pillar. Specific Duties: • Develop analytical data models that provide actionable insights across a range of business functions. • Develop data models, ingestion, transformation, and consumption layers for a scalable data platform in support of growing use cases and user personas. • Implement the end-to-end analytics solution using a modern technical stack, e.g. Snowflake, DBT, Fivetran, Informatica, Tableau. • Develop using best-practice data modeling techniques, leveraging SQL, ETL/ELT tools, and cloud-driven data architecture. Qualifications: • Highly self-motivated and able to work independently as well as in a team environment. • 3+ years hands-on experience working with BI, ETL/ELT data pipeline and integration patterns, and data modeling best practices, with in-depth knowledge of data governance, data engineering, visualization, and business intelligence functions • 2+ years of experience with more than 1 database system, such as Redshift, Azure Synapse, BigQuery, Oracle, SQL Server, MySQL. • 1+ years hands-on experience developing on modern data warehousing tools (e.g. Spark, Redshift, Snowflake, Azure Aurora, BigQuery, Incorta), deep expertise with SQL, and high proficiency building in BI solutions (e.g. Tableau, PowerBI, Looker, or other BI reporting layers) • Experience implementing a variety of data warehousing concepts and methodologies, including snapshotting, incremental data loads, SCDs, and star schemas. • Advanced understanding of SQL development in both stored procedures and leveraging ETL/ELT tools, such as Informatica, DBT, SSIS, Matillion. • Can be highly flexible in adapting to the needs of the team and organization. • Experience is a plus in managing the ingestion and modeling of the following business application data sources: Salesforce, Oracle Suite (EBS, Fusion, HCM), and Jira. • Comfort in working within an agile team, leveraging DevOps concepts and agile-enablement tools including Jira, Confluence, and Github. • Working experience with DevOps best practices and version control policies and platforms, e.g. Git • Ability to clearly communicate complex technical ideas to both technical and business stakeholders, with demonstrated written and verbal presentation skills to present compelling recommendations. Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

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About the job

Apply before

Aug 27, 2025

Posted on

Jun 28, 2025

Job type

Full Time

Experience level

Senior

Manager

Location requirements

United States

Hiring timezones

United States +/- 0 hours

About Extreme Networks

Learn more about Extreme Networks and their company culture.

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Our Core Values

Extreme pushes boundaries of networking technology, driven by a vision of making it simpler, faster, more agile and secure. We help customers connect beyond the network, strengthening their relationships with those they serve and finding new ways to drive better outcomes across their organization.

Teamwork: We work together to drive improved performance. We pull our weight, give others credit for success, push peers to raise their game and celebrate success
Transparency: We share what we see and what is happening, not assuming others know what we know. We shine a light on it.
Candor: We keep it real and embrace difficult conversations, constructively. We don't sugarcoat and there are no elephants in the room. We are respectful, but truthful.
Curiousity: We ask questions and commit to learn more. Learning best practices is the Extreme way. We are smarter than the competition. Higher intelligence drives higher performance.
Ownership: It’s our company. We have skin in the game. We invest the time and energy to make the changes that get the best outcomes for our customers, shareholders and ourselves. We're accountable.
Inclusion: We challenge dominant voices to listen and non-dominant voices to speak up. By fostering diversity regardless of gender, ethnicity, sexual orientation, age or religion, we get better perspective to make intelligent decisions that drive better business outcomes.

Tech stack

Learn about the tools and technologies that Extreme Networks uses to build, market, and sell its products.

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Spring Boot

Spring

Spring Framework

Spring MVC

JavaScript

Python

HTML5

Java

CSS 3

C++

76 more

Extreme Networks employees can create an account to update this tech stack.

Employee benefits

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Equity benefits

We offer an employee stock purchase program.

Life insurance

Extreme Networks brings you peace of mind by providing life insurance to you and your family.

Disability insurance

Extreme Networks brings you peace of mind by providing benefits to protect the financial needs of you and your family.

Retirement benefits

Extreme Networks provides globally compliant retirement plans, including public and private options, and contributes to retirement savings.

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