Data & AI Engineer Co-op
Lexington, Kentucky
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Education & alternatives
What You'll Need to Succeed - Must be a current JR pursuing a bachelor degree in Computer Science, Computer Engineering, Artificial Intelligence, Business Analytics, or a related field - Preference to those enrolled in AI Degrees/Certificates/Minors
Tools in this posting
- AWS
- Databricks
- S3
- PySpark
- SQL
- Python
- Azure
- Power BI
Source — Tool mentions in context
- Utilize established framework of processes to move and make available data for interested groups. - Utilize Microsoft end-user tools, including Office 365 and Power BI for consuming cloud data, especially directly connected to AWS Data Lake Services. - Gain knowledge on AWS storage and serverless compute layers to implement data lakes with the ability to execute queries via the Athena and data lake services
- Utilize Microsoft end-user tools, including Office 365 and Power BI for consuming cloud data, especially directly connected to AWS Data Lake Services. - Gain knowledge on AWS storage and serverless compute layers to implement data lakes with the ability to execute queries via the Athena and data lake services - Gain knowledge on implementation of data warehousing and data lake principles, including data
- SQL – entry level - AWS Services (Glue, S3, Athena): entry level understanding - (Or Azure/Databricks equivalent of above services)
- modelling, ETL/ELT pipelines, and database administration - Utilize Copilot, Databricks Assistant, and Genie to write and debug code within our internal data platform. - Develop AI tools to enhance business ability to explore data.
- AWS Services (Glue, S3, Athena): entry level understanding - (Or Azure/Databricks equivalent of above services) - GitHub – preferred
- Preference to those enrolled in AI Degrees/Certificates/Minors - Python (PySpark) – entry level - Jupyter notebooks – preferred
- Jupyter notebooks – preferred - SQL – entry level - AWS Services (Glue, S3, Athena): entry level understanding
- GitHub – preferred - Power BI – preferred - Must be authorized to work in the US for any employer
Job description
It All Starts with Our People
As the leader in automotive preventive maintenance, Valvoline has a proven track record of growth. We continue to invest in our people, processes, and technology to strengthen our ability to efficiently deliver Quick, Easy, Trusted service across all our stores – every day. We're not just in the car business; we're in the people business. And we're looking for humble, hungry, and smart people to help us shape the future of mobility. If you're hungry to drive change and seek a dynamic, collaborative environment that fuels both personal and professional growth, you've found your place with us.
Our highest priority is creating a welcoming workplace with team members from a wide variety of diverse backgrounds and experiences.
This is a 40 hour/week role located onsite at Valvoline Headquarters in Lexington, KY.
How You'll Make a Difference
Valvoline has a rewarding opportunity as a Data & AI Engineer Co-op. The VRS Data Engineering team is building the future state of how Valvoline will use data to support our stores and our customers. To help us continue that progress, we are looking to onboard a Data & AI Engineer Co-op to maintain our current cloud data environment and progress our analytics enablement.
- Utilize established framework of processes to move and make available data for interested groups.
- Utilize Microsoft end-user tools, including Office 365 and Power BI for consuming cloud data, especially directly connected to AWS Data Lake Services.
- Gain knowledge on AWS storage and serverless compute layers to implement data lakes with the ability to execute queries via the Athena and data lake services
- Gain knowledge on implementation of data warehousing and data lake principles, including data
- modelling, ETL/ELT pipelines, and database administration
- Utilize Copilot, Databricks Assistant, and Genie to write and debug code within our internal data platform.
- Develop AI tools to enhance business ability to explore data.
- Communicate with business units for requirements understanding and validation of production ready data products.
- Other duties and responsibilities as determined by Valvoline from time to time in its sole discretion.
What You'll Need to Succeed
- Must be a current JR pursuing a bachelor degree in Computer Science, Computer Engineering, Artificial Intelligence, Business Analytics, or a related field
- Preference to those enrolled in AI Degrees/Certificates/Minors
- Python (PySpark) – entry level
- Jupyter notebooks – preferred
- SQL – entry level
- AWS Services (Glue, S3, Athena): entry level understanding
- (Or Azure/Databricks equivalent of above services)
- GitHub – preferred
- Power BI – preferred
- Must be authorized to work in the US for any employer
Your Path to Valvoline
Valvoline provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Join us in revolutionizing the automotive aftermarket industry while enjoying competitive benefits, a supportive work culture, and opportunities for advancement. Apply now and become an integral part of our journey at Valvoline.
The Company endeavors to make its recruitment process accessible to any and all users. Reasonable accommodations will be provided upon request to applicants with disabilities to facilitate equal opportunity throughout the recruitment and selection process. Please contact Human Resources at 1.833.VVV.Report or email ECC@valvoline.com to make a request for reasonable accommodation during any aspect of the recruitment and selection process. The contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
#VVVInd
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on olivia.paradox.ai. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lexington, Kentucky
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Power BI – preferred - Must be authorized to work in the US for any employer Your Path to Valvoline
- Status in our records
- Active
- First seen by us
- Oct 1, 2026
- Recorded sightings
- 33
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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