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 As a Data Engineering Consultant you will be responsible for architecting and implementing robust data solutions that support the Data Science team s 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 Primary 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 pandas 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 optimize query performance and storage efficiency Big 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 solutions Reporting 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 regulations Collaboration 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 solutions Healthcare 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 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 regard 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 Required Qualifications Bachelor s or Master s 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 building ETL pipelines and integrating data from multiple sources Hands-on experience with Big Data technologies e g Hadoop Spark Hive etc Experience with cloud platforms e g AWS Azure Google Cloud including data storage and processing services Proficiency in Python and pandas for data manipulation and processing Solid expertise in SQL for querying database design and optimization Familiarity with reporting tools e g Tableau Power BI and data visualization workflows Knowledge of data governance security and compliance particularly in healthcare environments Preferred Qualifications Experience with containerization and orchestration tools e g Docker Kubernetes Exposure to healthcare data formats e g HL7 FHIR and standards Basic understanding of machine learning workflows and how data engineering supports them Familiarity with version control systems e g Git and Agile methodologies Soft Skills Solid problem-solving and analytical skills Excellent communication and collaboration abilities across technical and non-technical teams Attention to detail and commitment to delivering high-quality data solutions Ability to thrive in a fast-paced dynamic environment At UnitedHealth Group our mission is to help people live healthier lives and make the health system work better for everyone We believe everyone - of every race gender sexuality age location and income - deserves the opportunity to live their healthiest life Today however there are still far too many barriers to good health which are disproportionately experienced by people of color historically marginalized groups and those with lower incomes We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission