Advisory Sr. Consultant, Cloud Data Engineer - Remote - Remote Eligible

Senior Cloud Data Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a highly skilled and experienced Senior Cloud Data Engineer to join our team for a Cloud Data Modernization project. The successful candidate will be responsible for migrating our on-premises Enterprise Data Warehouse to a modern cloud-based data platform utilizing Azure Cloud data tools and Snowflake.

You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Lead the migration of the ETLs from on-premises database platform-based data warehouse to Azure Cloud and Snowflake
• Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, and Snowflake
• Review and analyze existing on-premises ETL processes developed in SSIS and T-SQL
• Implement DevOps practices and CI/CD pipelines using GitActions
• Collaborate with cross-functional teams to ensure seamless integration and data flow
• Optimize and troubleshoot data pipelines and workflows
• Ensure data security and compliance with industry standards

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Bachelor's Degree in Computer Science, Management Information Systems or similar related technical degree
• 5+ years of experience as a Cloud Data Engineer
• 3+ years of experience in ETL development using on-premises databases and ETL technologies
• 3+ years of experience with Python or other scripting languages for data processing
• 2+ years of experience with development in Databricks for data engineering and analytics workloads
• Proficiency in DevOps and CI/CD practices using GitActions
• Experience with Agile methodologies
• Proven excellent problem-solving skills and ability to work independently
• Proven solid communication and collaboration skills
• Proven solid analytical skills and attention to detail
• Ability to adapt to new technologies and learn quickly
• Ability to travel up to 10%

Preferred Qualifications:

• Certification in Azure or Snowflake
• Experience with data modeling and database design
• Knowledge of data governance and data quality best practices
• Familiarity with other cloud platforms (e.g., AWS, Google Cloud)

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $89,900 to $160,600 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.