Back to jobs

Intern, Data Engineering

Singapore

About Workato

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

Responsibilities

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.

Requirements

Qualifications / Experience / Technical Skills

  • 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.

Soft Skills / Personal Characteristics

  • 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)

Create a Job Alert

Interested in building your career at Workato? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Which of the following tools or technologies have you used? *
Which data engineering activities have you worked on? *
Select...
Note: Selecting “No” will not eliminate you from consideration for this role.

Candidate SMS Terms and Privacy Notice

If you provide your mobile phone number during the application or recruitment process, you consent to receive text messages (SMS) from Workato or its providers, for purposes including scheduling interviews, sending application status updates, and other recruitment-related communications. Message frequency varies. Message and data rates may apply.

Consent to receive SMS messages is not a condition of employment or of any hiring decision. You may opt out of SMS communications at any time by replying "STOP" to any message you receive, or by contacting us at privacy@workato.com. After you opt out, we may send you one final message confirming your opt-out has been processed. You may continue to receive other forms of communication (such as email) regarding your application unless you separately request otherwise. 

Your mobile phone number and SMS consent status are processed and retained in accordance with the data retention described in Section 5 (Our Retention of Personal Information) in this Privacy Notice.

Demographic and Self-Identification Questions (APJ)

Workato fosters an environment where diversity is celebrated and employees feel a sense of community and belonging. Our ability to win together as a team and to better each other is strengthened through our global perspectives, cultures, and identities. Your responses to the following questions are used (in aggregate only) for anonymized reporting related to our diversity and inclusion efforts. Your responses will not be associated with your specific application, will not be shared with the hiring team, and will not in any way be used in the hiring decision.

Select...
Select...