Staff Analytics Engineer

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 Workatos 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

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. Thats 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

Design build and maintain scalable data pipelines to process and analyze largedatasets. Integrate data from various sources ensuring data quality and consistency. Developand manage ETL (Extract Transform Load) processes to transform raw data into usableformats. Create and maintain data models to support reporting and analytics. Work closely withoperations analysts and other stakeholders to understand data requirements and deliversolutions. Optimize data processing workflows for performance and scalability. Implement datavalidation and quality assurance processes to ensure accuracy and reliability of data. Documentdata processes workflows and systems for transparency and knowledge sharing. Troubleshootand resolve data-related issues and provide support for data-related inquiries. Stay updatedwith the latest industry trends and best practices in data engineering and analytics. Ensure datasecurity 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 IIIcertified to create Workato recipes to facilitate data ingestion and auditing. Full-timetelecommuting is an option.

Bachelors degree (or its foreign degree equivalent) in ComputerScience Business Analytics Data Analytics Information Systems Statistics Engineering (anyfield) or a related quantitative discipline and two (2) years of experience in the job offered or ina related occupation.

(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: $123531.00-175000.00 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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