Data Engineering Consultant

In this role as a Data Engineering Consultant at UnitedHealth Group through Optum, you will be instrumental in architecting and implementing robust data solutions to support the analytical and modeling efforts of the Data Science teams. Your expertise in Python, SQL, ETL, Big Data technologies, reporting, and cloud platforms will play a crucial role in advancing data-driven healthcare initiatives. **Key Responsibilities:** - Data Pipeline Development and Management: - Design, develop, and optimize ETL pipelines for extracting, transforming, and loading healthcare data from various sources - Build scalable data workflows using Python and pandas to process large volumes of structured and unstructured data - Database 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 enhance query performance and storage efficiency - Big Data and Cloud Infrastructure: - Architect and implement Big Data solutions utilizing technologies like Hadoop, Spark, or similar frameworks - Utilize cloud platforms such as AWS, Azure, or Google Cloud to design and manage data storage, processing, and integration solutions - Reporting and Data Accessibility: - Build data pipelines and integrations to support reporting dashboards and visualization tools like Tableau or Power BI - Ensure data accessibility and security for stakeholders while adhering to healthcare regulations - Collaboration and Cross-Functional Support: - Collaborate with Data Scientists to provide clean, enriched datasets for machine learning and predictive modeling - Work with Product Owners and business stakeholders to translate data requirements into technical solutions - Healthcare Data Expertise: - Manage and process healthcare-related data, including claims, EHRs, and patient-centric datasets - Ensure compliance with healthcare data privacy regulations like HIPAA and HITECH Act **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field - 7+ years of professional experience in Data Engineering or related roles - Solid experience in building ETL pipelines and integrating data from multiple sources - Hands-on experience with Big Data technologies like Hadoop, Spark, Hive, etc. - Experience with cloud platforms such as AWS, Azure, Google Cloud for data storage and processing services - Proficiency in Python and pandas for data manipulation and processing - Strong expertise in SQL for querying, database design, and optimization - Familiarity with reporting tools such as Tableau, Power BI, and data visualization workflows - Knowledge of data governance, security, and compliance, particularly in healthcare environments In addition, you are expected to comply with the terms and conditions of the employment contract, company policies and procedures, and any directives related to business environment changes. The company may adopt, vary, or rescind policies and directives at its discretion. This is an opportunity for you to contribute to advancing health optimization on a global scale and make a significant impact on the communities served by UnitedHealth Group through innovative data solutions.,