Job description
Additional Locations:
Full Time Remote - Alabama, Full Time Remote - Alabama, Full Time Remote - Arizona, Full Time Remote - Arkansas, Full Time Remote - Florida, Full Time Remote - Georgia, Full Time Remote - Idaho, Full Time Remote - Indiana, Full Time Remote - Iowa, Full Time Remote - Kansas, Full Time Remote - Kentucky, Full Time Remote - Louisiana, Full Time Remote - Maryland, Full Time Remote - Michigan, Full Time Remote - Mississippi, Full Time Remote - Missouri, Full Time Remote - Ohio, Full Time Remote - Oklahoma, Full Time Remote - Pennsylvania, Full Time Remote - South Carolina, Full Time Remote - South Dakota, Full Time Remote - Tennessee, Full Time Remote - Texas, Full Time Remote - Utah, Full Time Remote - Virginia {+ 1 more}
Job Description
IT is different here. Our work as technology specialists pushes the boundaries of what’s possible in health care. You will build solutions that make a real difference in people’s lives. Driven by the importance of their work, our team members innovate to elevate. We’re encouraged to be curious, collaborate, and turn ideas into solutions that transform this space.
In this role you will work closely with senior engineers, data scientists and other stakeholders to design and maintain moderate to advanced data models. The Data Engineer is responsible for developing and supporting advanced reports that provide accurate and timely data for internal and external clients. The Data Engineer will design and grow a data infrastructure that powers our ability to make timely and data-driven decisions. You will support Membership Operations, Customer Service Operations, Digital & Consumer Experience teams.
If you are ready to make a career out of making a difference, then you are the person for this team.
What You’ll Do
- Define and extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes
- Document, and test moderate data systems that bring together data from disparate sources, making it available to data scientists, and other users using scripting and/or programming languages
- Write and refine code to ensure performance and reliability of data extraction and processing
- Participate in requirements gathering sessions with business and technical staff to distill technical requirement from business requests
- Develop SQL queries to extract data for analysis and model construction
- Own delivery of moderately sized data engineering projects
- Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists
- Ensure performance and reliability of data processes
- Document and test data processes including performance of through data validation and verification
- Collaborate with cross functional team to resolve data quality and operational issues and ensure timely delivery of products
- Develop and implement scripts for database and data process maintenance, monitoring, and performance tuning
- Analyze and evaluate databases in order to identify and recommend improvements and optimization
- Design eye-catching visualizations to convey information to users
What You Will Bring
- Bachelor’s degree and 3 years of experience with Oracle, Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language.
- In lieu of degree, 5 years of the experience as stated above.
- SQL and Python scripting
- Experience in a cloud environment
- Experience with Ab Initio or other ETL tools
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