Staff Analytics Engineer

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit ;br>Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

• Business Insider named us an "enterprise startup to bet your career on"
• Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
• Quartz ranked us the #1 best company for remote workers

Job Duties:

Design, build, and maintain scalable data pipelines to process and analyze large datasets. Integrate data from various sources, ensuring data quality and consistency. Develop and manage ETL (Extract, Transform, Load) processes to transform raw data into usable formats. Create and maintain data models to support reporting and analytics. Work closely with operations analysts and other stakeholders to understand data requirements and deliver solutions. Optimize data processing workflows for performance and scalability. Implement data validation and quality assurance processes to ensure accuracy and reliability of data. Document data processes, workflows, and systems for transparency and knowledge sharing. Troubleshoot and resolve data-related issues and provide support for data-related inquiries. Stay updated with the latest industry trends and best practices in data engineering and analytics. Ensure data security and compliance with relevant regulations and standards. Manage and prioritize multiple
projects and tasks effectively to meet deadlines. Become Workato Automation Pro I, II, and III certified to create Workato recipes to facilitate data ingestion and auditing. Full-time telecommuting is an option.
Minimum Requirements:

Bachelor's degree (or its foreign degree equivalent) in Computer Science, Business Analytics, Data Analytics, Information Systems, Statistics, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in a related occupation.
Special Skill Requirements:

(1) SQL; (2) dbt; (3) Snowflake; (4) Salesforce; (5) Predictive Analysis; (6) Data Governance; (7) Relational Databases; (8) CI/CD; (9) Data Modeling; (10) SchemaChange; (11) Python; (12) NetSuite

Salary: $123,531.00-175,000.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship

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