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, 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 www.workato.com

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.

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.

(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

#LI-DNI

#LI-DNP