Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. As a Senior Data Engineer, you will develop and modify healthcare data enrichment applications, focusing on scalable ETL pipeline development and workflow optimization to deliver reliable data applications aligned to business needs.
Responsibilities:
- Providing accurate and timely estimates for tasks
- Provide support and leadership in critical production support issue resolution
- Conduct or facilitate root cause analysis on all in-scope incidents and recommend a corrective action plan
- Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements
- Conduct code review to ensure the work delivered by the team is of high quality standards
- Work with business to prioritize production issue resolution
- Develops innovative approaches
- Data Engineering
Requirements:
- 6+ years of data engineering work experience
- 6+ years of ETL development experience
- 6+ years of SDLC experience
- 6+ years of experience writing advanced complex queries, code optimization with SQL
- 3+ years of experience in Python
- 3+ years of experience with Cloud environments, such as Snowflake, Azure and/or Databricks
- Experience developing ETL Processes using Microsoft SQL Server Integration Services (SSIS)
- .Net development experience
- Experience writing and executing functional specifications
- Experience working with and analyzing healthcare administrative, medical, or pharmacy claims data to support downstream applications, data marts, and end users
- Demonstrated proficiency in database design, querying, optimization & troubleshooting with any of the following RDBMS: Oracle, SQL Server, and/or Teradata
- Proven solid organizational skills and focus on accuracy and attention to detail
- Demonstrated excellent analytical, problem solving and troubleshooting abilities
- Ability to be self-motivated and be able to work both independently and in a team environment