Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit 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
We are looking for an exceptional Data Engineer Intern to join our growing team. In this role, you will design and implement data pipelines that load data from multiple sources into our data warehouse, building efficient data models that drive analysis and key business metrics. You'll optimize analytical workflows using dbt Cloud, leveraging macros and packages to enhance productivity, while contributing to our CI/CD processes and DevOps practices. You'll also have the opportunity to participate in AI initiatives by contributing to the development of Data Genie in Workato.
In this role, you will also be responsible to:
Implement and maintain data pipelines to load data from multiple sources into a data warehouse.
Building efficient data models to drive analysis and key metrics.
Optimization of analytical workflows to improve productivity through the use of macros and packages in dbt Cloud.
Continuously improve existing DevOps experience by strengthening our CI/CD processes
Contribute to AI initiatives by assisting with the development of Data Genie in Workato.
Collaborate with internal business stakeholders to understand various data pain points and develop solutions to resolve those issues.
Support operational needs of various business units.
Currently pursuing a degree in Business Analytics, Information Systems, or other related field.
Able to commit for at least 6 months.
Good understanding of Database concepts such as ERD.
Intermediate SQL skills (e.g. Join, CTE, and window functions etc).
Experience in using data warehouses such as Snowflake and data transformation tools such as dbt Cloud.
Experience with using Extract-Load-Transform (ELT) applications or scripts..
Experience in building and working with AI related solutions using LLMs is a plus.
Understanding of CI/CD and DevOps is a plus.
Fast mover and comfortable navigating a fast-paced environment.
Excellent organizational skills and ability to juggle multiple projects simultaneously.
Strong analytical skills, verbal and written communication skills are required to present actionable insights to business leaders.
Thoughtful team player, a keen learner, and have a “can do” attitude with a growth mindset.
(REQ ID: 2942)
Skills Required
- Currently pursuing a degree in Business Analytics, Information Systems, or a related field
- Able to commit for at least 6 months
- Good understanding of database concepts, including ERDs
- Intermediate SQL skills, including joins, CTEs, and window functions
- Experience using data warehouses such as Snowflake
- Experience using data transformation tools such as dbt Cloud
- Experience with ELT applications or scripts
- Experience building or working with AI solutions using LLMs
- Understanding of CI/CD and DevOps
- Strong organizational skills and ability to manage multiple projects
- Strong analytical, verbal, and written communication skills
- Ability to present actionable insights to business leaders
- Team-oriented, adaptable, eager to learn, and growth-minded
Workato Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workato and has not been reviewed or approved by Workato.
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Healthcare Strength — Health insurance is highlighted as robust, with comprehensive medical, dental, vision, and mental health/EAP support. Employer materials and public benefit listings position healthcare as a standout element of the package.
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Leave & Time Off Breadth — Time off is portrayed as generous, featuring unlimited or flexible PTO in some regions and monthly global days off in addition to holidays. These programs signal a recharge-friendly approach to work-life balance.
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Parental & Family Support — Parental leave is consistently described as strong, with supportive maternity and paternity programs. Family support appears alongside core benefits such as health coverage and equity.
Workato Insights
What We Do
The leader in enterprise automation, Workato helps organizations work faster and smarter without compromising security and governance. Built for Business and IT users, Workato is trusted by over 7,000 of the world's top brands like Gitlab, Toast, Broadcom, Intuit, Autodesk, and HubSpot. Leaders use Workato to automate key processes like Order to Cash, Speed to Lead, HR Onboarding and Offboarding and more.
Why Work With Us
Here at Workato, we are a team moved by innovation — a passion to create the best possible way and the drive to continue to make it better. We also believe in the power of our team, knowing that we only succeed if we all succeed together. Our team uses seven operating principles to help us make better decisions, work as a team, and have fun.
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