Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at 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:
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Business Insider named us an “enterprise startup to bet your career on”
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Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
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Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an exceptional Analytics Engineer to join our growing team. In this role, you will be responsible for:
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Design, build, and maintain scalable data pipelines to process and analyze large datasets.
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Integrate data from various sources, ensuring data quality and consistency.
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Develop and manage ETL (Extract, Transform, Load) processes to transform raw data into usable formats.
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Create and maintain data models to support reporting and analytics.
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Work closely with operations analysts, and other stakeholders to understand data requirements and deliver solutions.
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Optimize data processing workflows for performance and scalability.
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Implement data validation and quality assurance processes to ensure accuracy and reliability of data.
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Document data processes, workflows, and systems for transparency and knowledge sharing.
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Utilize tools and technologies such as SQL, dbt, Snowflake, and Salesforce.
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Troubleshoot and resolve data-related issues and provide support for data-related inquiries.
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Stay updated with the latest industry trends and best practices in data engineering and analytics.
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Ensure data security and compliance with relevant regulations and standards.
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Manage and prioritize multiple projects and tasks effectively to meet deadlines.
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Become Workato Automation Pro I, II, and III certified to create Workato recipes to facilitate data ingestion and auditing
RequirementsQualifications / Experience / Technical Skills
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Bachelor’s degree or higher in Computer Science, Data/Business Analytics, Information Systems, Statistics or relevant experience from previous employment
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3+ years work experience in a data related field
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Experience creating data pipelines in dbt & Snowflake
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Strong organizational skills and attention to detail to juggle multiple projects simultaneously
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Strategic mind who can dissect and organize analytically and for scale
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Diligent thinker who gets things done without overlooking important details
Soft Skills / Personal Characteristics
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Self-starter with the ability to drive projects from inception to completion
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Natural drive for innovation and creative problem solving
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Exceptional attention to detail and follow-through
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Excellent interpersonal skills, high energy, and enthusiasm, team-oriented, strong cross-group collaborator.
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Manage multiple concurrent projects with multiple deadlines
For California applicants, the pay for this role begins at $100,000.00 plus variable, benefits, perks and equity.
(REQ ID: 1936)
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