Summary
Become a summer architect of HP’s data ecosystem! This Data Engineering Summer Internship offers a chance for coding-savvy students to gain hands-on experience building and managing large-scale data pipelines. You’ll collaborate with experienced data engineers, contribute to the development of robust data infrastructure, and help unlock valuable insights from HP’s ever-growing data volume.
Qualifications
- Currently enrolled in an undergraduate or graduate program in computer science, data science, or a related field (minimum sophomore year).
- Strong programming skills in languages like Python, Java, or Scala (familiarity with Spark or similar frameworks a plus).
- Experience with data warehousing, data lakes, and cloud platforms (e.g., AWS, Azure) is preferred.
- Familiarity with data quality concepts and data cleansing techniques.
- Excellent problem-solving skills and a passion for building efficient and scalable data solutions.
- Strong communication and collaboration skills to work effectively in a team environment.
Responsibilities
- Assist with designing, developing, and deploying data pipelines to process and transform large data sets.
- Work alongside data engineers to build and maintain data infrastructure on cloud platforms.
- Implement data quality checks and ensure data integrity within HP’s data systems.
- Automate data processing workflows and contribute to building reusable data pipelines.
- Participate in data exploration and analysis to identify potential business insights (as applicable).
- Support with documentation and testing procedures for data pipelines (as applicable).
Benefits
- Gain valuable experience in the exciting field of data engineering at a leading technology company.
- Develop and enhance your programming skills, cloud computing knowledge, and data management expertise.
- Learn from industry professionals about building and maintaining scalable data infrastructure.
- Network with data engineers and explore potential career paths in the ever-growing field of data engineering.
- Contribute to HP’s data-driven decision-making and unlocking the power of big data for business success.
Location
Vancouver, WA, United States
Deadline: Unspecified