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 focus on developing business solutions through scalable ETL pipeline development and workflow optimization, contributing significantly to reliable data applications aligned with 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