Pacific Life is looking to add Data Engineering Interns to their team to help innovate and build meaningful relationships for years to come, and to develop a more data-driven culture at Pacific Life.
Requirements
- Experience in programming (Python or R preferred)
- Experience with data modeling
- Familiarity with data science or data analytics tools and platforms such as: Alteryx, AWS data science and analytics related services, SAS platform, Tableau, RDBMS such as MSQL, Postgres, other DBMS, e.g NoSQL experience
- Demonstrated skills of machine learning, data modeling, used in data science or other applied technology skills such as database engineering, application development, cloud engineering and user experience design
Responsibilities
- Participate in evaluating business needs, and clarify requirements, data, processes, and systems for complex technology projects.
- Mine large and complex datasets for insights and converting the insights into product features.
- Collaborate with analysts and other engineers to formulate innovative data engineering solutions.
- Build creative solutions to complex business problems that provide functionality, speed, scalability, and reliability required by the business to use data effectively.
- Work closely with other teams to assist with integration design, development & implementation.
- Communicate complex concepts and results in a clear and effective manner.
Other
- Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, Information Technology, Mathematics, Economics, Business, Machine Learning, Applied Mathematics, Statistics, or another quantitative Field.
- Strong analytical, problem solving, and organizational skills
- Excellent communication skills, the ability to multitask, prioritize work, take initiative, and be self-sufficient with responsibilities
- Ability to work well with others as a team and independently
- Desire for learning new technologies and analytic tools; as well as modeling and quantitative techniques
