Sr. Data Engineering Consultant - Remote

Optum is dedicated to simplifying the health care experience and creating healthier communities. The Sr. Data Engineering Consultant will design and maintain data pipelines, develop data architectures, and lead analytics data product delivery while mentoring a team of data engineers.

Responsibilities:

• Design, build, and maintain scalable data pipelines and platforms using advanced programming languages, and cloud data warehouses (e.g., Redshift, Snowflake)
• Develop resilient data architectures across data warehouses, lakes, and streaming environments to support enterprise analytics and reporting
• Ensure enterprise data security, governance, quality, and standardization across all data and analytics solutions
• Lead the end to end delivery of analytics data products, from design and development through production support and optimization
• Collaborate with business stakeholders and engineering partners to enable business intelligence, advanced analytics, and machine learning solutions
• Mentor and guide a team of data engineers, driving best practices, technical excellence, and continuous improvement

Requirements:

• Bachelor's or Master's in Computer Science, Engineering, or a related field
• 8+ years of relevant experience
• Languages: Solid expertise in Python and/or Scala/Java
• SQL & Data Modeling: Advanced SQL skills for data manipulation and performance tuning
• Big Data/Distributed Systems: Experience with Apache Spark, Databricks, Snowflake or Kafka
• Cloud Platforms: Exhaustive experience of working with Azure cloud services
• Data Pipelines: Designing, building, and optimizing ETL/ELT pipelines
• Data Architecture: Experience with data modeling, warehousing (e.g., Snowflake), and ETL/ELT best practices
• Tools & DevOps: Familiarity with orchestration tools (Airflow), CI/CD, Git, and Linux
• Soft Skills & Leadership: Solid communication, collaboration, and the ability to mentor junior engineers