Senior Data Engineer-Data Bricks, Airflow, Snowflake, AI
Hyderabad, Telangana
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark)
Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency
Develop production-quality Python code for data processing, transformations, and integrations
From the employer’s posting
Primary Responsibilities: Design, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark) Orchestrate and monitor workflows using Apache Airflow for batch and incremental processing
Orchestrate and monitor workflows using Apache Airflow for batch and incremental processing Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency Develop production-quality Python code for data processing, transformations, and integrations
Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency Develop production-quality Python code for data processing, transformations, and integrations Design, build, and host APIs and data services using modern Python frameworks
What you’ll bring
All qualificationsCore experience
- 4+ years of total experience
- Experience with CI/CD pipelines, Git-based version control, and deployment automation
- Experience building and hosting REST APIs / data services using Python frameworks
- Good Knowledge of SQL, Pyspark, Snowflake cloud tech stacks, python, exposure in code management, AI usage to add efficiency
- Solid experience with Microsoft Azure, including cloud-native architecture and best practices
- Solid understanding of data warehousing, ELT patterns, and modern cloud data architecture
Qualification wording
4+ years of total experience
Experience with CI/CD pipelines, Git-based version control, and deployment automation
Experience building and hosting REST APIs / data services using Python frameworks
Good Knowledge of SQL, Pyspark, Snowflake cloud tech stacks, python, exposure in code management, AI usage to add efficiency
Solid experience with Microsoft Azure, including cloud-native architecture and best practices
Solid understanding of data warehousing, ELT patterns, and modern cloud data architecture
Tools in this posting
- Python
- SQL
- Azure
- Databricks
- Snowflake
- Spark
- Airflow
- PySpark
Source — Tool mentions in context
- Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency - Develop production-quality Python code for data processing, transformations, and integrations - Design, build, and host APIs and data services using modern Python frameworks
- Develop production-quality Python code for data processing, transformations, and integrations - Design, build, and host APIs and data services using modern Python frameworks - Deploy and manage APIs using Azure-native services (Azure Functions, App Services, API Management)
- Solid hands-on experience with Databricks (Spark / PySpark) in production environments - Experience building and hosting REST APIs / data services using Python frameworks - Solid experience with Microsoft Azure, including cloud-native architecture and best practices
- Proven expertise with Apache Airflow for workflow orchestration and dependency management - Proven advanced Python programming skills for data engineering and API development - Demonstrated ability to independently own, design, and deliver end-to-end data engineering solutions
- Experience with CI/CD pipelines, Git-based version control, and deployment automation - Good Knowledge of SQL, Pyspark, Snowflake cloud tech stacks, python, exposure in code management, AI usage to add efficiency 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.
- Design, build, and host APIs and data services using modern Python frameworks - Deploy and manage APIs using Azure-native services (Azure Functions, App Services, API Management) - Apply Azure cloud best practices for security, scalability, monitoring, resiliency, and cost optimization
- Deploy and manage APIs using Azure-native services (Azure Functions, App Services, API Management) - Apply Azure cloud best practices for security, scalability, monitoring, resiliency, and cost optimization - Implement data quality checks, logging, alerting, and observability for production pipelines
- Experience building and hosting REST APIs / data services using Python frameworks - Solid experience with Microsoft Azure, including cloud-native architecture and best practices - Solid working experience with Snowflake, including data modeling and performance tuning
Primary Responsibilities: - Design, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark) - Orchestrate and monitor workflows using Apache Airflow for batch and incremental processing
- 4+ years of total experience - Solid hands-on experience with Databricks (Spark / PySpark) in production environments - Experience building and hosting REST APIs / data services using Python frameworks
- Orchestrate and monitor workflows using Apache Airflow for batch and incremental processing - Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency - Develop production-quality Python code for data processing, transformations, and integrations
- Solid experience with Microsoft Azure, including cloud-native architecture and best practices - Solid working experience with Snowflake, including data modeling and performance tuning - Solid understanding of data warehousing, ELT patterns, and modern cloud data architecture
- Design, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark) - Orchestrate and monitor workflows using Apache Airflow for batch and incremental processing - Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency
- Solid understanding of data warehousing, ELT patterns, and modern cloud data architecture - Proven expertise with Apache Airflow for workflow orchestration and dependency management - Proven advanced Python programming skills for data engineering and API development
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, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark)
- Orchestrate and monitor workflows using Apache Airflow for batch and incremental processing
- Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency
- Develop production-quality Python code for data processing, transformations, and integrations
- Design, build, and host APIs and data services using modern Python frameworks
- Deploy and manage APIs using Azure-native services (Azure Functions, App Services, API Management)
- Apply Azure cloud best practices for security, scalability, monitoring, resiliency, and cost optimization
- Implement data quality checks, logging, alerting, and observability for production pipelines
- Collaborate with analytics, product, and platform teams to enable downstream data consumption
- Participate in architecture design, code reviews, and technical decision-making
- Troubleshoot and resolve complex production issues across data pipelines and cloud infrastructure
- 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:
- B.Tech. / MCA / Graduation
- 4+ years of total experience
- Solid hands-on experience with Databricks (Spark / PySpark) in production environments
- Experience building and hosting REST APIs / data services using Python frameworks
- Solid experience with Microsoft Azure, including cloud-native architecture and best practices
- Solid working experience with Snowflake, including data modeling and performance tuning
- Solid understanding of data warehousing, ELT patterns, and modern cloud data architecture
- Proven expertise with Apache Airflow for workflow orchestration and dependency management
- Proven advanced Python programming skills for data engineering and API development
- Demonstrated ability to independently own, design, and deliver end-to-end data engineering solutions
Preferred Qualification:
- Experience with CI/CD pipelines, Git-based version control, and deployment automation
- Good Knowledge of SQL, Pyspark, Snowflake cloud tech stacks, python, exposure in code management, AI usage to add efficiency
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
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Source & posting history
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- Pay
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- Location & working pattern
Hyderabad, Telangana
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- Status in our records
- Active
- First seen by us
- Sep 3, 2026
- Recorded sightings
- 117
- Last seen by us
- Oct 8, 2026
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