Senior Data Engineer(Remote)

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.

The Senior Data Engineer is responsible for designing, developing, and supporting scalable data solutions for the Manufacturing BI team, including data pipelines, ETL/ELT processes, databases, APIs, data models, and Power BI reporting solutions. The role works closely with business and technical teams to deliver secure, reliable, and high-performing data solutions.

Responsibilities

Design, develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and Microsoft Fabric.; Design and develop solutions using Fabric Lakehouse and Warehouse.; Develop and optimize complex SQL queries, stored procedures, databases, and data models.; Build data integrations and APIs across multiple enterprise data sources.; Develop and support Power BI reports, semantic models, and dashboards.; Troubleshoot and optimize data pipelines, database performance, and data quality.; Work with Manufacturing and technical teams to define requirements and deliver scalable data solutions.

Requirements

5+ years of experience with SQL, data engineering, ETL/ELT, and data warehouse solutions.; Strong SQL Server, T-SQL, data modeling, and performance-tuning skills.; Programming experience with Python, Java, C#, Rust, or similar languages.; Experience with APIs, JSON, flat files, Excel, and relational databases.; Experience with Power BI or similar BI tools.; Manufacturing data and Microsoft Fabric experience is a plus.; Familiarity with cloud platforms and AI developer tools such as Codex CLI, Claude Code, or Gemini CLI is a plus.; Bachelor's degree in Computer Science, MIS, or a related field.