Senior Data Analyst

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Design, build, and maintain scalable Azure-based data engineering solutions (Databricks, ADF, Snowflake). Develop ETL/ELT pipelines, CI/CD, orchestration, and monitoring. Ensure data quality, security, and compliance for healthcare data. Support production and on-call duties. Apply GenAI techniques and build APIs/containers as needed.
Summary Generated by Built In
Requisition Number: 2376687
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:
  • Design, build, and maintain scalable data engineering solutions using Azure Databricks, Azure Data Factory and Snowflake across all phases of the Software Development Life Cycle (SDLC)
  • Develop and optimize ETL/ELT pipelines, batch and near real time data processing workflows
  • Establish, refine, and integrate development, CI/CD, orchestration, and monitoring tools (GitHub, Azure DevOps, Airflow, Databricks Jobs)
  • Collaborate closely with business stakeholders to understand requirements and translate them into robust data architecture and technical designs
  • Ensure data quality, reliability, security, and compliance, especially for healthcare data
  • Support production systems, participate in on call/application support, and handle critical incidents when required
  • Continuously identify opportunities for process improvement, cost optimization, and platform modernization
  • Generative AI & Advanced Techniques: Learn and apply GenAI building blocks such as RAG and prompt orchestration tools (e.g., LangChain); exposure to vector databases is a plus
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
  • Software Engineering & APIs: Contribute to building and testing APIs (e.g., REST with FastAPI) and learn delivery fundamentals such as containers (Docker) and simple app frameworks (e.g., Flask/Streamlit) as needed
  • 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 degree in computer science/ data Engineer / AI/ML / Data Science, or related field
  • 4+ years of overall experience in Data Engineering, Data Warehousing, or Data Lake implementations
  • Solid hands-on experience with:
    • Python and PySpark
    • Azure Databricks & Azure Data Factory
    • Advanced SQL
  • Proven experience designing and implementing Data Lakes / Lakehouse architecture on Azure Cloud
  • Healthcare domain experience with solid understanding of data sensitivity, compliance, and regulatory requirements
  • Solid experience working with business stakeholders to gather requirements and propose end-to-end data architecture solutions
  • Solid understanding of Agile/Scrum methodologies, CI/CD practices, and DevOps for data platforms
  • Proven excellent analytical, problem solving, and performance tuning skills, with the ability to bring innovative solutions that add business value

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 degree in computer science, data engineering, AI/ML, data science, or related field
  • 4+ years experience in Data Engineering, Data Warehousing, or Data Lake implementations
  • Hands-on experience with Python and PySpark
  • Hands-on experience with Azure Databricks and Azure Data Factory
  • Advanced SQL
  • Proven experience designing and implementing Data Lakes / Lakehouse architecture on Azure Cloud
  • Healthcare domain experience with understanding of data sensitivity, compliance, and regulatory requirements
  • Experience working with business stakeholders to gather requirements and propose end-to-end data architecture solutions
  • Understanding of Agile/Scrum methodologies, CI/CD practices, and DevOps for data platforms
  • Experience with CI/CD, orchestration, and monitoring tools (GitHub, Azure DevOps, Airflow, Databricks Jobs)
  • Support production systems, participate in on-call/application support, and handle critical incidents
  • Proven analytical, problem solving, and performance tuning skills
  • Exposure to Generative AI techniques (RAG, LangChain) and vector databases
  • Experience or willingness to build/test APIs (REST with FastAPI) and use containers (Docker); familiarity with Flask/Streamlit

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Healthcare Strength Official materials highlight copay and HSA medical plan choices with in‑network preventive care at 100%, prescription coverage, and low/no‑cost virtual visits, plus company HSA contributions. Dental preventive services are 100% in network, and mental health resources include an EAP and premium Calm access.
  • Parental & Family Support Programs include six weeks paid parental leave, up to two weeks paid caregiver leave, and Bright Horizons back‑up care with enhanced family supports. Adoption assistance up to $10,000 for full‑time employees reinforces family‑oriented benefits.
  • Equity Value & Accessibility Financial benefits include an Employee Stock Purchase Plan at a 10% discount, expanding access to equity ownership.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

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
HQEden Prairie, MN
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