About the Company:

Arista Networks is a global leader in data-driven cloud networking for large-scale data centers, routing, and campus environments. With over $7 billion in revenue and more than 20 million cloud networking ports deployed worldwide, Arista delivers advanced, reliable, and scalable solutions. Its flagship portfolio, including EOS (Extensible Operating System) and CloudVision, supports Ethernet speeds up to 800Gbps and powers AI, enterprise, and cloud-scale data networks.

Arista is deeply committed to inclusivity, open standards, and engineering excellence. With multiple awards for diversity, work-life balance, and engineering innovation, the company fosters an environment where creativity and innovation thrive.

Who You’ll Work With:

As a Senior Data Engineer on the Business Intelligence (BI) team, you will collaborate with manufacturing, software, and hardware engineering divisions to design efficient, secure, and scalable data solutions. The role involves building and maintaining advanced data pipelines, reporting systems, and analytics platforms that support business operations globally.

What You’ll Do:

• Design, develop, and optimize data and reporting applications for efficiency and accuracy.
• Collaborate with manufacturing and engineering teams to ensure data security and governance compliance.
• Manage and maintain SQL Server environments, including T-SQL development and database tuning.
• Develop data pipelines, ETLs, and APIs using Python and related frameworks.
• Work with data warehousing tools such as BigQuery and Microsoft Fabric for data storage and analytics.
• Design dashboards and reports using Sisense, Power BI, and other BI tools.
• Integrate non-relational data sources such as JSON, Excel, and APIs.
• Document system implementations and recommend new technologies for data optimization.
• Support cross-functional teams with troubleshooting and data quality improvement initiatives.

Key Technical Skills:

SQL Server, T-SQL, Python, Java or C#, ETL development, Data integration, Data modeling, BI tools (Power BI, Sisense), BigQuery, Microsoft Fabric, APIs, JSON, Pandas or NumPy, Data migration, Automation scripting

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Minimum of 4 years in SQL Server, T-SQL, and query optimization.
• 2+ years of programming experience in Python, Java, or C#.
• Strong understanding of relational data modeling, data warehousing, and integration workflows.
• Hands-on experience with ETL pipelines and data transformation strategies.
• Proficiency with BI tools such as Power BI or Sisense.
• Able to handle multiple projects, communicate effectively, and solve complex data issues independently.

Preferred:

• Experience with manufacturing datasets and reporting.
• Hands-on experience in BigQuery and Microsoft Fabric analytics environments.
• Advanced Power BI and Sisense dashboard development.
• Experience with large-scale data infrastructures and data automation frameworks.