Senior Data Engineer (Remote-Eligible) - job 1 of 2

As a Senior Data Engineer at Optum, your responsibilities include implementing proprietary ETL processing for new clients, troubleshooting production operations issues, and developing data interface programs. You'll also work closely with various teams to improve performance and build standard operating procedures, ensuring optimal operations while also reporting on meaningful metrics.

To apply for the Senior Data Engineer position at Optum, candidates should have a Bachelor's or Master's degree in computer science or Information Technology, along with experience in Oracle/Postgres SQL, PLSQL, and Unix/Linux shell scripting. Familiarity with ETL processes on Azure and experience in managing production operations are also essential prerequisites.

Yes, experience with ETL processes is crucial for the Senior Data Engineer position at Optum. You'll be responsible for implementing customized ETL processes for clients, which requires a strong understanding of the ETL life cycle and the technical skills to effectively handle data transformation and integration.

As a Senior Data Engineer at Optum, you will work with various tools and technologies, including Oracle/Postgres SQL, PLSQL, and Azure for ETL processes. Additionally, proficiency in Unix/Linux shell scripting and knowledge of Java will be beneficial in handling data manipulation and building efficient production systems.

Optum emphasizes career development and growth opportunities for all employees, including Senior Data Engineers. You will have access to comprehensive training programs, mentorship from experienced peers, and numerous pathways for advancement in your career to ensure you can grow and develop within the company.

In your answer, focus on any specific ETL tools you've used, how you implemented them in your previous roles, and any challenges you faced while maintaining data integrity under production pressures. Highlight tangible results you've achieved through your ETL implementations.

When answering, discuss the project's specific challenges and your strategic approach to overcoming them. Emphasize your problem-solving skills and teamwork as well as the successful outcome of the project.

Explain your methods for effective time management, such as setting priorities based on urgency and impact, utilizing project management tools, and regularly communicating with stakeholders to adjust timelines as necessary.

Share your systematic approach to troubleshooting. Discuss how you gather data, identify root causes, and implement solutions, as well as how you involve relevant teams to ensure rapid issue resolution.

Discuss the importance of data validation processes, conducting regular audits, and implementing best practices for data management to maintain high standards of data integrity throughout your projects.

Highlight any experiences you've had working with teams across different time zones or cultures. Discuss tools you used for collaboration and any specific practices that helped facilitate communication and project success.

Share a detailed story about your implementation of a new tool. Discuss the problem it solved, how you trained your team, and the measurable benefits that resulted from that change.

Provide insights on emerging trends such as real-time data processing, the increasing importance of data security, or advancements in AI and machine learning that will shape the future of data engineering. Show your passion and knowledge about the field.

Discuss your favorite blogs, webinars, or forums that keep you informed about data engineering. This shows your commitment to continuous learning and staying ahead in your field.

Express your admiration for Optum's mission to improve health equity and how that aligns with your personal values. Highlight how your skills and experiences make you a perfect fit to contribute positively to the team.