Scan your resume against ATS criteria for this Senior Data Engineering Analyst role at UnitedHealth Group.
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
Optum is seeking a Data Engineer with health care experience to implement and manage cross-domain, modular, flexible, scalable, secure, reliable and quality data solutions that transform data to support analytics and insight generation for our clients. The Data Engineer will implement, test, deploy, monitor, and maintain the delivery of data in a systematic method and will support a wide variety of analytical needs for our customers. The Director of Data Engineering will also partner with the broader OAS Analytics organization to harness the power of client data to facilitate analytical insight and will be responsible for building quality and efficiency into every project.
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 interdependencies
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
AI User Responsibilities:
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
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.
How to apply for Senior Data Engineering Analyst at UnitedHealth Group?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
2+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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