Analytics and Data Engineer - Remote

Optum

Optum is a global leader dedicated to improving health outcomes through technology and data. They focus on helping individuals access health resources and enhancing health equity across communities. Joining their diverse and inclusive culture means contributing to impactful global health initiatives.

In this role you can expect to have the responsibilities:

• Oversee the entire data engineering lifecycle from development to maintenance.
• Create automated, secure, and scalable data and analytics pipelines.
• Support regular production activities.
• Document data processes ensuring data governance and security.
• Collaborate with other departments to integrate data.
• Develop and automate data processors.

This role comes with the following benefits:

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contributions.

This role requires you to have:

• 4+ years of experience in software engineering using SPARK with Python and SQL.
• 4+ years in data engineering for ETL and pipeline building.
• 2+ years experience with cloud platforms like Azure, AWS, or GCP.
• 1+ years working with healthcare data.
• Proficiency in using data orchestration tools like ADF or Airflow.
• Experience with CICD tools such as Jenkins or GitHub.

You would benefit from having:

• Knowledge of healthcare concepts like claims and underwriting.
• Experience with business intelligence tools such as Power BI or Tableau.
• Leadership experience.
• Experience with actuarial or data science processes.

Optum values diversity and inclusion and is committed to an equal employment opportunity policy. UnitedHealth Group promotes health equity and sustainable practices. A drug test is required before employment.