Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $7 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience.  Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners.

At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation.

Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do.

Who You’ll Work With

As a Senior Data Engineer on the BI team for Manufacturing, Software, and Hardware Engineering, you will collaborate on:

• Designing and optimizing data and reporting applications to ensure efficient data service delivery.
• Partnering with manufacturing teams to address security and data requirements.
• Managing SQL Server, T-SQL, stored procedures, and database administration.
• Working with BigQuery and Microsoft Fabric for data storage and processing.
• Developing and maintaining data pipelines, ETLs, data processing workflows, APIs, and data migration using Python and other programming languages.
• Leveraging business intelligence tools such as Sisense and Power BI for reporting and analytics.
• Integrating and processing non-relational data sources, including flat files, Excel, JSON, and APIs.

What You’ll Do

• Design, develop, and optimize data and reporting applications to ensure seamless data service delivery.
• Collaborate with manufacturing teams to meet security and data governance requirements.
• Manage and maintain SQL Server, T-SQL, stored procedures, and database administration.
• Work with BigQuery and Microsoft Fabric for data storage, processing, and analytics.
• Develop and maintain data pipelines, ETLs, data processing workflows, APIs, and data migration using Python and other programming languages.
• Utilize BI tools such as Sisense and Power BI to build interactive dashboards and reports.
• Process and integrate non-relational data sources, including flat files, Excel, JSON, and APIs.
• Document implementations, configurations, and support requirements for data applications.
• Evaluate and recommend new technologies, design patterns, and methodologies to enhance data solutions.
• Collaborate with cross-functional teams to troubleshoot issues and ensure data accuracy and performance.

Required:

• 4+ years of experience in SQL Server, T-SQL, and database query optimization.
• 2+ years of experience with Python, Java, C#, or a similar programming language.
• Strong expertise in system analysis, relational data modeling, and data integration.
• Experience with ETL processes, data pipeline development, and data migration strategies.
• Familiarity with BI tools like Sisense, Power BI, or similar platforms.
• Proficiency in working with non-relational data sources, including flat files, Excel, JSON, and APIs.
• Ability to manage multiple projects, prioritize tasks effectively, and work independently.
• Strong analytical, problem-solving, and communication skills for cross-team collaboration.

Preferred:

• Experience working with manufacturing data.
• Experience with Sisense BI tools and advanced Power BI capabilities.
• Hands-on experience with BigQuery and Microsoft Fabric for data processing and analytics.

Education:

• Bachelor's degree in Computer Science, Management Information Systems, or a related field.

Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand sound software engineering principles and the importance of doing things right.

We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools.

Our engineers have access to every part of the company, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature.

Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.