WorkdayData Engineer Intern
Workday is hiring a Data Engineer Intern. Level rates it ; you can apply on Workday.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks, Python and SQL among its tools and skills.
- Level classes it as an internship.
- Workday has 362 other open roles on Level.
- Posted within the past week.
AI in this role
Develop, maintain, and optimize data pipelines and processing workflows as a Data Engineering Intern at Workday.
Your work days are brighter here.
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.
About the Team
At Workday, we are a leading provider of Workday solutions, helping organizations optimize their human capital management and financial processes through innovative technology. We are seeking motivated and enthusiastic Interns to join our Workday Community Data Engineering team as Data Engineer Interns. This is an excellent opportunity to kickstart your career in a dynamic and rapidly growing field.About the Role
We are looking for a motivated Data Engineer Intern to support the development, maintenance, and optimization of data pipelines and data processing workflows. The role involves working with Python, SQL, ETL/ELT processes, databases, and cloud technologies to ensure efficient data integration and management. This internship offers hands-on experience with real-world data engineering projects while collaborating with experienced professionals to build scalable and reliable data solutions.
Job Summary
We are looking for a motivated and enthusiastic Data Engineer Intern to join our Data Engineering team. This opportunity is designed for recent graduates who are passionate about data engineering, cloud computing, database management, and building scalable data solutions.
The selected candidate will work alongside experienced data engineers to develop, maintain, and optimize data pipelines, process large datasets, and support data-driven business solutions.
Key Responsibilities
- Assist in designing, developing, and maintaining ETL/ELT data pipelines.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Develop Python scripts for data processing, automation, and integration.
- Work with structured and semi-structured datasets from multiple sources.
- Support data cleaning, validation, transformation, and quality assurance.
- Assist in managing relational databases and data warehouses.
- Gain hands-on experience with cloud platforms such as AWS.
- Collaborate with data engineers, analysts, and software developers on data-related projects.
- Monitor data pipelines and assist in troubleshooting performance issues.
- Maintain technical documentation for data workflows and processes.
The schedule for this position is: Monday - Friday, 9 AM - 6 PM.
About You
Required Qualifications
- Currently pursuing a Bachelor’s in Computer Science, Information Technology, Data Science, Engineering, or a related field with an anticipated graduation date of June/July 2027.
- Strong understanding of SQL and relational database concepts.
- Basic to intermediate programming knowledge in Python.
- Preferred familiarity with ETL processes and data warehousing concepts.
- Basic understanding of data modeling and data transformation.
- Strong analytical and problem-solving abilities.
- Good communication and teamwork skills.
- Willingness to learn new technologies and tools.
Preferred Technical Skills(Or similar ones)
- Programming: Python, SQL
- Databases: Redshift, MySQL, PostgreSQL, SQL Server
- Big Data: PySpark
- Cloud Platforms: AWS
- ETL Tools: AWS Glue
- Data Warehousing: Snowflake, Amazon Redshift
- Version Control: Git, GitHub
- Other Tools: Databricks, REST APIs
Prior professional experience with these technologies is not mandatory.
Eligibility Criteria
- 0–1 years of professional experience.
- Academic projects or internships involving Python, SQL, databases, or data analytics are advantageous.
- Candidates with a strong interest in pursuing a career in data engineering are encouraged to apply.
Ideal Candidate
We are seeking an advanced student who has a strong technical foundation, enjoys solving data-related challenges, and is eager to gain hands-on experience in data engineering. The ideal candidate is curious, adaptable, detail-oriented, and capable of working collaboratively in a fast-paced engineering environment.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
How we rate this
Data Engineer Intern at Workday rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where database management was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Pipelines, Cloud Computing, Database Management, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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