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Oracle Database Engineer (Integration) - Boston, MA - Full-time / Part-time
| Hours | Full-time, Part-time |
|---|---|
| Location | Boston, MA Boston, Massachusetts |
About this job
At Optum, we are focused on doing things that have not been done yet; helping improve lives in ways that were unthinkable until we thought of them. Do you enjoy working with an elite team, empowered to do your best? If so, please consider this your opportunity to see your ideas come to life.
Optum is known for its innovative approach to health care. Widely regarded as innovators and thought leaders, our executive team has served in key administration roles, on the boards of national and community-based organizations, and in a number of advocacy roles for health care and community-based organizations. We have spent decades investing in the technology and information capabilities that help us bring new ideas to market faster; we have developed solutions that are practical today and scalable for tomorrow; and we have created collaborative teams dedicated to innovation across each of our businesses to share our best thinking. The world will never be the same. And neither should you.
We are seeking a highly talented and motivated individual to contribute to its Data Management Team as a Data Integration Engineer. The Data Integration Engineer is a key member of the Data Management Team, responsible for specifications, design, coding and documentation in the areas of Data Acquisition and Integration.
Primary Responsibilities:
- Will represent Data Integration Development interests in cross-functional project teams and coordinate Data Integration Development work within project scope with other internal data warehouse staff and other technical areas
- Develop and document high level Conceptual Data Process Design for review by Clinical Analysts, and Quality Assurance analysts that will serve as a basis for writing ETL code and designing test plans
- Develop end-to-end system design for specific data warehouse applications to meet the goals of business
- Review and understand, existing data workflows in order to create detailed design specifications for the extraction, transformation and load processes
To get better insight into our Technology careers and determine if they are the right fit for you, listen to our IT Leaders talk about differences, similarities, challenges, and opportunities in having a technology career in the health care industry at UnitedHealth Group:
Requirements
Required Qualifications:
- Successful completion of a Bachelor's Degree or relevant Technical/Business experience
- 8+ years Oracle and ETL experience
- 5+ years data integration and/or enterprise data warehousing experience
- Advanced SQL and PLSQL knowledge
- Strong Data Analysis and documentation skills
Preferred Qualifications:
- 3+ years of experience with large data sets
- Experience with Healthcare data
Already Fortune 25, we are totally focused on innovation and change. We work a little harder. We aim a little higher. We expect more from ourselves and each other. And at the end of the day, we're doing a lot of good.
Through our family of businesses and a lot of inspired individuals, we're building a high-performance health care system that works better for more people in more ways than ever. Now we're looking to reinforce our team with people who are decisive, brilliant - and built for speed.
Come to UnitedHealth Group, and share your ideas and your passion for doing more. We have roles that will fit your skills and knowledge. We have diverse opportunities that will fit your dreams.
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. In addition, employees in certain positions are subject to random drug testing.
Job keywords: Oracle, ETL, data integration, data warehousing, SQL, PLSQL, data analysis, large data sets, healthcare data