Data Engineer Intern
Workato
Data Engineer Intern
Workato
Enterprise automation platform for app integration
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.
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:
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)
Workato provides an enterprise automation platform (iPaaS) that helps organizations connect apps and automate workflows. Users build “recipes” with a drag‑and‑drop interface and connectors to apps like Salesforce, Slack, and ServiceNow to enable real‑time data sync and cross‑application process orchestration. It stands out by offering a large library of connectors, governance features, and AI-assisted tools like Workato Copilot that let non‑technical users automate tasks. Its goal is to reduce the IT–business bottleneck and boost operational efficiency and digital transformation, with pricing tied to the number of recipes to scale as usage grows.
Explore more opportunities at Workato