Optum - Data Engineering Consultant - Python / SQL / ETL

As a Data Engineering Consultant, you will be responsible for architecting and implementing robust data solutions that support the Data Science teams analytical and modeling efforts. You will work closely with Data Scientists, Analysts, and cross-functional teams to ensure seamless data access, processing, and integration. Your expertise in Python, SQL, ETL, Big Data technologies, reporting, and cloud platforms will be pivotal in advancing our data-driven healthcare initiatives.

Key Responsibilities :

Data Pipeline Development and Management :

• Design, develop, and optimize ETL pipelines to extract, transform, and load healthcare data from various sources.
• Build scalable data workflows to process large volumes of structured and unstructured data using Python and and Data Warehouse Management :
• Develop and maintain SQL databases and data warehouses to support advanced analytics and reporting requirements.
• Collaborate on data modeling and schema design to optimize query performance and storage Data and Cloud Infrastructure :
• Architect and implement Big Data solutions using technologies such as Hadoop, Spark, or similar frameworks.
• Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) to design and manage data storage, processing, and integration and Data Accessibility :
• Build data pipelines and integrations to support reporting dashboards and visualization tools (e.g., Tableau, Power BI).
• Ensure data accessibility and security for stakeholders while maintaining compliance with healthcare and Cross-Functional Support :
• Collaborate with Data Scientists to deliver clean, enriched datasets for machine learning and predictive modeling.
• Work with Product Owners and business stakeholders to understand data requirements and translate them into technical Data Expertise :
• Manage and process healthcare-related data, including claims, EHRs, and other patient-centric datasets.
• Ensure compliance with healthcare data privacy regulations such as HIPAA and HITECH Act.

Required Skills and Experience :

Preferred Qualifications :

Soft Skills :

Education :

(ref : hirist.tech)