Abacus Insights is transforming how data works for health plans, aiming to make healthcare data usable for better decision-making. The Data Engineering Intern will work with clients and internal teams to understand data distribution requirements, perform data analysis, and optimize data extracts to support the company's core data management offerings.
Responsibilities:
- Work with clients and implementation teams to understand the data distribution requirements
- Perform data analysis and data mapping required to produce client output
- Build the data distribution extracts and scripts
- Optimize the performance of the data extract scripts
- Foster a dynamic, high-preforming, and collaborative culture
- Guide team members to solve issues and help them to understand any challenges
- Spearhead clients’ projects and handle client calls
- Constantly think about process enhancements and bring different ideas into table
Requirements:
- 2+ years of experience working with healthcare data
- Understanding and passion for healthcare data and systems – knowledge on Membership, Claims, Provider and other domains
- Strong experience writing queries, performing data analysis, data profiling and reporting
- Performance optimization experience with understanding of how to fine tune the queries
- Experience handling a large volume of data
- Ability to communicate with technical and non-technical stakeholders
- Ability to seek better analytical solutions to abstract business problems
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Experience, coupled with a willingness, to learn new things
- Desire to contribute individually, with the ability both to self-direct work and to collaborate with others
- Strong SQL Programming skills
- Strong project management and organizational skills
- Experience working with an AWS, Azure, Databricks, Spark
- Experience working with Snowflake
- Understanding or experience working for a cloud-based data services provider to large healthcare clients