The Role
Leads data engineering initiatives involving Azure data platforms, PySpark, ETL frameworks, data pipelines, data warehouses, migrations, and self-service analytics. Designs schemas, optimizes databases, ensures data quality, supports analytics and applications, and contributes to machine learning and generative AI solutions. Collaborates with architects, product stakeholders, vendors, and scrum teams while providing technical guidance, platform support, and personnel management.
Summary Generated by Built In
Requisition Number: 2384638
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:
Required Qualifications:
Preferred Qualifications:
Tools/Technologies:
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.
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:
- Participate in scrum process and deliver stories/features according to the schedule
- Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable - Participate in product support activities as needed by the team.
- Understand product architecture, features being built and come up with product improvement ideas and POCs Expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
- Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles
- Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems
- Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments
- Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities
- Manage relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition
- May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data Selects, develops and evaluates personnel to ensure the efficient operation of the function
- Analyzes and investigates
- Provides explanations and interpretations within area of expertise
- 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
Required Qualifications:
- Bachelor's or master's degree in computer science, Engineering, Information Technology, or a related field
- DevOps, implementation of Bigdata, Apache Spark and Azure Cloud.
- Large scale data processing using PySpark on azure ecosystem.
- Experience in the implementation of self-service analytics platform ETL framework using PySpark on Azure
- Experience on building ML models
- Deep experience in Data Analysis, including source data analysis, data profiling and mapping
- Good experience in building data pipelines using ADF/Azure Databricks
- Proven hands-on experience with a large-scale data warehouse
- Hands-on data migration experience from legacy systems to new solutions such as from on-premises clusters to Cloud, build apps using Azure Power Apps, Ability to learn and adapt to new data technologies
- Good Knowledge on Gen-AI, RAG's, LLM.
- Solid proficiency in SQL and complex queries
- Expert skills in Azure data processing tools (Azure Data Factory, Azure Databricks)
- Demonstrated ability to learn and adapt to new data technologies
- Proven good problem-solving skills
- Provide good communication skills
Preferred Qualifications:
- Knowledge/Experience in Power Apps using Azure and Good communication skills
- Knowledge of the US healthcare industry/Pharmacy data
Tools/Technologies:
- Programming Languages: Python, PySpark
- Cloud Technologies: Azure (ADF, Databricks, WebApp, Key vault, SQL Server, function app, logic app, Synapse
- Azure Machine Learning, DevOps)
- ML Models, GPT, NLP Algorithms
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.
Skills Required
- Bachelor's or master's degree in computer science, engineering, information technology, or a related field
- DevOps experience and implementation of big data solutions using Apache Spark and Azure Cloud
- Large-scale data processing using PySpark in the Azure ecosystem
- Experience implementing self-service analytics platform ETL frameworks using PySpark on Azure
- Experience building machine learning models
- Deep experience in data analysis, source data analysis, data profiling, and data mapping
- Experience building data pipelines using Azure Data Factory and Azure Databricks
- Hands-on experience with a large-scale data warehouse
- Hands-on data migration experience from legacy systems to cloud solutions
- Ability to build applications using Azure Power Apps
- Knowledge of generative AI, RAG, and LLMs
- Solid proficiency in SQL and complex queries
- Strong problem-solving and communication skills
- Knowledge or experience with Power Apps using Azure
- Knowledge of the US healthcare industry or pharmacy data
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
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Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
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Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
