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 Support the full data engineering lifecycle including research proof of concepts design development testing deployment and maintenance of data management solutions Utilize knowledge of various data management technologies to drive data engineering projects Lead data acquisition efforts to gather data from various structured or semi-structured source systems of record to hydrate client data warehouse and power analytics across numerous health care domains Leverage combination of ETL ELT methodologies to pull complex relational and dimensional data to support loading DataMart s and reporting aggregates Eliminate unwarranted complexity and unneeded interdependence Detect data quality issues identify root causes implement fixes and manage data audits to mitigate data challenges Implement modify and maintain data integration efforts that improve data efficiency reliability and value Leverage and facilitate the evolution of best practices for data acquisition transformation storage and aggregation that solve current challenges and reduce the risk of future challenges Effectively create data transformations that address business requirements and other constraints Partner with the broader analytics organization to make recommendations for changes to data systems and the architecture of data platforms Support the implementation of a modern data framework that facilitates business intelligence reporting and advanced analytics Prepare high level design documents and detailed technical design documents with best practices to enable efficient data ingestion transformation and data movement Leverage DevOps tools to enable code versioning and code deployment Leverage data pipeline monitoring tools to detect data integrity issues before they result into user visible outages or data quality issues Leverage processes and diagnostics tools to troubleshoot maintain and optimize solutions and respond to customer and production issues Continuously support technical debt reduction process transformation and overall optimization Leverage and contribute to the evolution of standards for high quality documentation of data definitions transformations and processes to ensure data transparency governance and security Ensure that all solutions meet the business needs and requirements for security scalability and reliability 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 Eligibility To apply to an internal job employees must meet the following criteria The candidate should have completed 12 months in the current role The candidate should not be on any active CAP PIP The performance review of the candidate must be ME Above in the last common review Required Qualifications Graduate degree or equivalent experience Bachelor s Degree preferably in information technology engineering math computer science analytics engineering or other related field 5 years of combined experience in data engineering ingestion normalization transformation aggregation structuring and storage 5 years of combined experience working with industry standard relational dimensional or non-relational data storage systems 5 years of experience in designing ETL ELT solutions using tools like Informatica DataStage SSIS PL SQL T-SQL etc 5 years of experience in managing data assets using SQL Python Scala or other similar querying coding language 3 years of experience working with healthcare data or data to support healthcare organizations 3 years of experience in Microsoft Azure Cloud Azure Data Factory Data Bricks Spark Scala Python ADO Preferred Qualifications Certification in Azure Cloud preferably DP-203 Experience in Machine Learning Pipelines and AI in healthcare Experience in Data Visualization and BI Tools Power BI Tableau for healthcare reporting Exposure in containerization and orchestration Docker Kubernetes Airflow Familiarity with Data Tokenization anonymization and synthetic data generation for research 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