Workato
Technology
StaffAnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Staff Analytics Engineer at Workato. Skills: Data engineering, Analytics engineering, Data pipelines, ETL. Design scalable data pipelines. Build scalable data pipelines”
Industry & Context.
Troubleshoot data issues; Resolve data issues
Legally authorized to work in U.S.
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 2 years of experience
Nice to Have
Workato Automation Pro I, II, and III certified
What You'll Do.
Design scalable data pipelines
Build scalable data pipelines
Maintain scalable data pipelines
Process large datasets
Analyze large datasets
Integrate data from various sources
Ensure data consistency
Develop ETL processes
Optimize data processing workflows
Implement data validation
Implement data quality assurance
Document data processes
Document data workflows
Document data systems
Troubleshoot data-related issues
Resolve data-related issues
Provide support for data inquiries
Stay updated with industry trends
Ensure compliance with regulations
Manage multiple projects
Prioritize multiple tasks
Become Workato Automation Pro certified
Create Workato recipes
Facilitate data ingestion
Facilitate data auditing
How You'll Work.
Team & Collaboration
Work with stakeholders; Work with operations analysts
Full Job Description
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 www.workato.com 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
Applying for this Staff Analytics Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Workato?
Real rants from real employees. Read before you apply.