Data Science Engineering Intern

Key Skills

AWS, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Warehousing, Distributed computing, Effective communication skills, ETL/ELT technologies, Python Programming, Snowflake, SQL

Job Description

The Program:

At Medidata, interns will have the opportunity to accelerate their careers by working closely with experienced professionals and gain valuable, hands-on, full-time work experience. By being a part of our global organization, interns have the opportunity to work alongside our talented and committed professionals helping them to build a strong foundation for achieving their career goals. For 12 weeks, beginning May 22, 2023, interns will have an opportunity to gain a deep understanding of what it means to be a Medidatian. United around a single goal of empowering smarter treatments and healthier people. Medidatians work in a culture of curiosity, innovation and fun. You will be contributing to the line of business with sustainable and meaningful work.

Our Summer Internship program also includes instructor led training, guided mentorship, exposure to senior leadership and community service. In addition to individual and specific related responsibilities, each intern will participate in our Intern Innovation Lab. Assigned to cross-functional teams, interns will work closely to develop an innovative solution to a business problem currently facing Medidata. As they work diligently to present their final solutions to a panel of top Medidata leaders, we are confident that our interns will make a significant impact on our business.

The Position:

• Works on complex data engineering projects focusing on the delivery of high value data analytic solutions for internal and external customers
• Contribute to development of cloud based data systems (AWS and Snowflake) that requires balancing of depth of analysis and delivery timing
• Collaborate with data engineers, data scientists and cross-functional stakeholders to implement data science engineering solutions based on business priorities and technology initiatives.
• Create automated data flows with data engineering best practices,trasperancy, and scalability.
• Power smarter treatments and healthier people with innovative data analytic applications

Qualifications/Competencies:

• Strong knowledge of modern data architecture, engineering, transformation, modeling and orchestration of data using Python / SQL and cloud-native technologies like AWS
• Familiarity with big data processing and distributed database and data warehouse technologies, including Snowflake
• Knowledge of ETL/ELT frameworks
• Good understanding of data-driven problem solving and balance of depth of analysis and delivery timing
• Knowledge of Github and CI/CD practices
• Clear, concise communication, both written and verbal
• Entrepreneurial spirit, driven to create high-quality insights from data, at scale.

Your Education:

• BS degree in a technical or engineering field, such as Computer Science Engineering, Data Engineering or Data Analytics,

The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position is $32.00 to $37.00 per hour with a $3500 sign on bonus. with a $3500 sign on bonus.