Data Engineering Consultant

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.

Primary Responsibilities:

• Designing & building automated data pipelines to move data from various source systems using tools like Azure Data Factory (ADF) for orchestration, and Databricks with PySpark for large-scale data processing and transformation
• Use Databricks (leveraging Apache Spark) to cleanse, transform, and enrich large, complex, and unstructured datasets
• Load finalized, structured data into Snowflake for high-performance analytics, business intelligence (BI), and reporting
• Performance Optimization: Continuously monitor and tune system performance, optimize Spark jobs and SQL queries in Snowflake, and manage compute resources efficiently to balance performance and cost
• Data Modeling and Architecture: Design logical and physical data models (e.g., star/snowflake schemas) to ensure data is structured for efficient querying and analysis
• Data Governance and Security: Implement data security measures (encryption, role-based access control), ensure data quality through validation rules, and track data lineage
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• Undergraduate degree or equivalent experience
• Working knowledge of Power BI
• Working knowledge of Azure/AWS containerized services and solutions
• Working knowledge of building automated quality solutions
• Working knowledge of developing & integrating Gen AI and Agentic AI data solutions
• Implementation knowledge of AI capabilities in Databricks / Snowflake
• Proficiency in below services:
  • Azure Services: Azure Data Factory (ADF), Azure Data Lake Storage (ADLS)
  • Databricks: Apache Spark (PySpark), Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and Databricks Workflows/Jobs for orchestration
  • Snowflake: Snowflake SQL, Snowpipe, Streams, Tasks, data modeling (star/snowflake schemas), and performance optimization features (clustering keys)
  • Programming Languages: Solid proficiency in Scala/PySpark and SQL