Intern, Data Platform Engineering
Zionsville Office, United States
Group 1001
We make insurance better for everyone. Our family of insurance companies offers useful, intuitive solutions to empower people to live the lives they dream about.Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group1001’s culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets – our employees.
Group 1001, and its affiliated companies, is strongly committed to providing a supportive work environment where employee differences are valued. Diversity is an essential ingredient in making Group 1001 a welcoming place to work and is fundamental in building a high-performance team. Diversity embodies all the differences that make us unique individuals. All employees share the responsibility for maintaining a workplace culture of dignity, respect, understanding and appreciation of individual and group differences.
Data Platform Engineering team is a high performing technology team with a mission to Build and support a secure, scalable, frictionless, self-service data platform that enables business teams to rapidly build quality, compliant data products. We build and maintain Data Platform infrastructure that include data storage, pipelines, reporting and analytics workbench. We bring the right tools/practices in the data domain into Group 1001 to maintain our competitive advantage
Job Summary:
This intern position will work with Data Platform Engineering group. The position offers the intern an opportunity to work and learn with a high performing team of seasoned Data professionals getting exposure to big data processing, AI, ML and building Python applications. The role is engineering heavy and very technical. While the candidates are not expected to be experts, they are expected to demonstrate their passion for Data and AI space by taking courses related to the field.
Main Accountabilities:
- Use Infrastructure as Code (IaC) to spin required AWS compute and storage
- Develop and Deploy a python based application on AWS Cloud infrastructure to process, analyze and report on usage and spend data.
- Work with Data Platform Engineers to understand how to get the usage and spend data from snowflake
- Implement monitoring and observability of the python utility
- Report the usage and cost associated with different business capabilities, so leaders can make informed decisions on where to spend their $
- Create monitoring and alerts to catch rouge processes that could not only create a cost spike but also a security risk
- Use AI to identify inefficient processes
- Use AI to recommend improvements
- Educate users how to use metrics for decision making
Qualifications:
- Undergraduates pursuing Computer Science, Math or other STEM majors. (we are generally looking for students coming out of their sophomore or junior year)
- Availability to work full-time hours over the summer.
- Passion for Data, AI and ML
- Strong Python programming skills
- Good understanding of Cloud Computing (Certification in AWS or Azure is a plus)
- Familiarity in Big Data platforms like Snowflake or Databricks is a plus
- Ability to clearly articulate complex information to others.
Benefits Highlights:
Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001’s benefits package. Employees (and their families) are eligible to participate in the Company’s comprehensive health, dental, and vision insurance plan options. Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability, and to enroll in the Company’s Employee Assistance Program and other wellness initiatives. Employees may also participate in the Company’s 401K plan, with matching contributions by the Company.
#LI-ES1Tags: AWS Azure Big Data Computer Science Databricks Engineering Machine Learning Mathematics Pipelines Python Security Snowflake STEM
Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Wellness
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