Senior Data Analyst
Reads like a Data Engineer role: pipelines and data infrastructure.
Hyderabad, Telangana
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build and maintain data engineering solutions on Azure Databricks, Azure Data Factory and Snowflake
Develop and optimize ETL/ELT pipelines for batch and near real time processing
Set up CI/CD, orchestration and monitoring tools for data platforms
Turn business requirements into data architecture and technical designs
Ensure data quality, reliability, security and compliance for healthcare data
From the employer’s posting
Design, build, and maintain scalable data engineering solutions using Azure Databricks, Azure Data Factory and Snowflake
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
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
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in computer science/ data Engineer / AI/ML / Data Science, or related field
- Proven experience designing and implementing Data Lakes / Lakehouse architecture on Azure Cloud
- 4+ years of overall experience in Data Engineering, Data Warehousing, or Data Lake implementations
- 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
Qualification wording
Bachelor's degree in computer science/ data Engineer / AI/ML / Data Science, or related field
Proven experience designing and implementing Data Lakes / Lakehouse architecture on Azure Cloud
4+ years of overall experience in Data Engineering, Data Warehousing, or Data Lake implementations
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
Education & alternatives
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
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Docker
- Snowflake
- Airflow
- FastAPI
- Flask
- PySpark
- Streamlit
Source — Tool mentions in context
- 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
- Azure Databricks & Azure Data Factory - Advanced SQL - Proven experience designing and implementing Data Lakes / Lakehouse architecture on Azure Cloud
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
- 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
- Solid hands-on experience with:- Python and PySpark - Azure Databricks & Azure Data Factory - Advanced SQL
- 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
- 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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 18, 2026 · 71 days ago
- Recorded sightings
- 235
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, Telangana
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.