Assist with the sourcing, transformation, and analysis of data and developing ETL logic to support existing and future deployments
Support sourcing, transformation, and analysis by assisting senior team members in development, maintenance, and deployment of data pipelines and ETL logic
Assist in the sourcing, transformation, and analysis of data under the guidance of senior team members
Support the development of ETL logic and pipelines for existing and future deployments
Assist in the development and maintenance of data pipelines supporting a medallion architecture as part of the organization's data modernization initiatives
Participate in technical data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data
Collaborate with teammates and business partners to help build technical solutions that are reusable, scalable, and maintainable across large datasets
Develop and maintain working knowledge in data reporting, management, and transformation technologies
Actively learn new and existing tools, resources, and processes
Assist in the implementation of data architecture and solutions
Develop and deliver code under supervision to support existing and future deployments

Bachelor's degree in technology, engineering, a math-related field, or a related discipline with 0 years of experience required; or an equivalent combination of education and experience
0-2 years of experience working with data structures or in a related technical role
Introductory exposure to algorithm design
Some exposure to SQL Server, IDMC, Informatica PowerCenter, Snowflake, and/or Control-M
Experience writing basic SQL queries and interpreting simple data models (preferred)
Experience using database modeling concepts (preferred)
Prior internship or academic project experience in a data-related field (preferred)

Data Engineer

Key skills