When can you expect to hear back?
We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!
All postings close: September 28, 2024
Interviews: Early to Mid October
Offers: By end of October
2025 Start Dates:
This position has opportunities to start in the Summer. Please see our start date below and let us know your availability.
Summer Internships: Monday, May 19, 2025 (40/hours per week max)
The Data Engineer Intern will act as part of a collaborative team on assigned data workflows throughout the organization. This role will contribute to building distributed services to support multiple data analytics teams and business intelligence engineers. The Data Engineer Intern will assist the team in providing cutting edge, reliable, and easy to use systems for ingesting and processing data and help the teams that build data intensive applications be successful.
What You’ll Do
Participates in developing data extraction and integration code modules for batch and incremental data flow from various data sources using existing patterns
Works with team members to deliver value to business partners
Uses existing tools and applied principles to assist in deploying integration and production code
Works with team to test software, validate data and write automated tests (unit, integration, functional, etc.)
Assists in reviewing peer code and submitting feedback
Assists in triaging and resolving production issues
Participates in designing database tables that conform to naming standards
What You’ll Need
Currently pursuing a Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline is required
Preferred Qualifications
Relevant class work including data warehousing tools, techniques and technology
Familiarity with statistical concepts
Exposure to big data processing and using databases (SQL, Hadoop, Spark, Flink, Beam etc.)
Basic Knowledge of SQL query design and tuning for performance and accuracy
Basic knowledge of Python, R, or other data relevant scripting languages
Basic research skills to locate market information using numerous internal and external sources of data
Interpersonal skills and a strong ability to effectively communicate (verbal and written) with business and technical teams
Travel Requirements and Working Conditions
Less than 10% of travel
Reliable internet access for any period of time working remotely, not in a Workiva office
Must be authorized to work in the United States and not require sponsorship now or in the future
How You’ll Be Rewarded
✅ Salary range in the US: $40.00 - $40.00
✅ 401(k) participation and match
✅ Paid sick leave
✅ A unique opportunity to further your learning experience through additional internship seasons
Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
