Data Engineering Intern - Spring 2027
About The Position
STV is seeking an enthusiastic and motivated Data Engineering Intern to join our team. This internship offers an opportunity for undergraduate and graduate-level candidates to work alongside our experienced team, learn, and contribute to meaningful projects. In this role, you will work closely with our experienced data engineering team to gain hands-on experience in designing, developing, and maintaining data pipelines and systems to support our data-driven initiatives. This internship offers an exciting opportunity to learn from industry professionals, contribute to real-world projects, and develop valuable skills in data engineering.
Requirements
- Currently pursuing a bachelor's or master's degree in Computer Science, Data Engineering, or Software Engineering.
Nice To Haves
- Hands-on experience with ETL processes and tools
- Prior activity in data projects utilizing python and database technologies .
- Basic knowledge of version control systems such as Git.
- Fundamental understanding of the ETL and ELT processes.
- Experience with Python and data libraries such as pandas and numpy.
- Familiarity with SQL and experience in querying databases for data extraction.
- Understanding of data modeling and database technology such as My-SQL, SQL server, and Mongo db.
- Demonstrated ability to communicate data modeling and transformation processes using ERD diagrams and other workflow diagrams.
Responsibilities
- Work alongside our team to develop innovative data transformation pipelines for data from a wide variety of sources.
- Collaborate with team members to advance the use of data in the industry.
- Aid in the development of applications to better display AEC data.
- Build skills in data transformation technology such as Azure Data Factory and Pyspark.
- Perform other tasks as assigned to support project goals and team objectives.
- Conduct exploratory data analysis (EDA) to uncover patterns, anomalies, and insights that inform model development.
- Create visualizations to effectively present findings and results to stakeholders.
- Stay updated on the latest technologies, tools, and techniques in the analytics domain and machine learning.
- Document analytical methodologies and coding efforts to ensure consistent knowledge transfer and reproducibility.
- Contribute insights and feedback during team meetings to support the iterative learning process.
- Perform other tasks as assigned to support project goals and team objectives.
Benefits
- Health insurance, including an option with a Health Savings Account
- Dental insurance
- Vision insurance
- Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable)
- Disability insurance
- Life Insurance and Accidental Death & Dismemberment
- 401(k) Plan
- Retirement Counseling
- Employee Assistance Program
- Paid Time Off
- Paid Holidays
- Back-Up Dependent Care
- Parental Leave
- Continuing Education Program
- Professional Licensure and Society Memberships
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What This Job Offers
Career Level
Intern
Education Level
Associate degree
