You are viewing a preview of this job. Log in or register to view more details about this job.

Tech Catalyst Intern: Data Engineering

The Hartford’s Enterprise Data Office is seeking interns who are looking to build a career in Data Engineering.  In this role, interns will gain exposure to Data Engineering technologies and best practices, while providing development support on The Hartford’s critical data assets. Interns will have the opportunity to participate in immersive meaningful work, mentorship and coaching, and training with a goal of building skillsets in alignment to the entire software development lifecycle process in support of information data projects.

Overall Knowledge

You must be a team player with a positive ‘can do’ attitude and possess the following qualities:

  • Interest in data analytics, technology, and problem solving
  • Excellent communication, analytical, interpersonal, and organization skills required
  • Organizational and time management skills with the ability to adjust to changing priorities in a fast-paced environment
  • Entrepreneurial mindset

Responsibilities 

  • Gain mentorship and coaching in immersive instructor led and/or self-directed training relative to data engineering and Hartford best practices
  • Partner with various parts of the organization to build a working knowledge of the organization, business, processes, and its customers
  • Learn and utilize tools such as Informatica, B2B, PL/SQL, Hadoop, etc.to develop data assets that support organizational decision making via prototyping, data discovery, profiling, etc.
  • Leverage data mining and Business Intelligence tools to analyze large amounts of data identifying relationships and patterns within the data
  • Solve a range of core business and technical questions through data analysis
  • Work is guided by more senior members of the team

Qualifications

  • Undergraduate students expecting to graduate in January or May 2024 with a Bachelor’s degree and a GPA of 3.0 or higher
  • Desired majors include, but are not limited to: Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, and Business
  • Evidence of previous knowledge in data modeling, data warehousing tools, and databases (e.g., Python, R, SQL, Hadoop, SAS, ORACLE; Big Data, Spark, and Hive experience a plus)
  • Possess the technical skills to transform, manipulate and store data; the analytical skills to relate the data to the business processes that generates it and the communication skills to disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience. 


Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age