Designs, builds, and operates scalable ETL/ELT pipelines and cloud-native data platforms using Databricks and Snowflake. Develops trusted analytical datasets, ensures data quality and governance, optimizes performance and cost, modernizes legacy pipelines, and supports analytics and AI/ML workloads. Partners with stakeholders, applies software engineering practices, troubleshoots production issues, contributes to architecture, mentors junior engineers, and develops responsible AI-powered solutions.
Requisition Number: 2399074
Data Engineer
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 operate scalable ETL/ELT pipelines for structured and
semi-structured data across internal and external sources
* Develop cloud-native data solutions on modern data platforms (e.g., Databricks
lakehouse, Snowflake)
* Apply data modeling, transformations, and enrichment to produce trusted,
analytics-ready datasets
* Ensure data quality, reliability, and auditability through validation, reconciliation,
and monitoring
* Implement and follow enterprise data governance, security, and compliance
standards
* Optimize data workloads for performance, cost efficiency, and operational reliability
* Support modernization efforts, including migration of legacy ETL pipelines to
cloud-native architectures
* Partner with product, analytics, and business stakeholders to translate
requirements into production-grade data solutions
* Enable downstream analytics, reporting, and AI/ML workloads through
well-designed data assets
* Apply software engineering best practices, including CI/CD, version control, testing,
and code reviews
* Contribute to architectural discussions and mentor junior engineers
* Design, develop, and deploy AI-powered solutions to address complex business
challenges with emphasis on responsible use of AI
* 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
Qualifications
Required Qualifications:
* Bachelor's degree in Computer Science, Engineering related field
* 5+ years of experience as a Data Engineer or in data platform / analytics engineering
roles
* 3+ years of experience with SQL, data modeling, and data transformations
* 3+ years of hands-on experience with Databricks and/or Snowflake and large-scale
data processing
* 3+ years of experience building ETL/ELT pipelines, data warehouses, and analytical
data stores
* 3+ years of experience with source control and DevOps practices (Azure DevOps,
GitHub, CI/CD)
Preferred Qualifications:
* Experience building enterprise-scale data platforms
* Experience with real-time/streaming frameworks (Structured Streaming)
* Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
* Solid understanding of secure coding practices and vulnerability remediation
* Proven ability to work in distributed, cross-functional global teams
* Proven ability to analyze logs, troubleshoot production issues, and optimize
performance
* Proven solid skills in performance tuning and debugging large-scale pipelines
* Demonstrated capability to design and deploy AI-powered solutions responsibly
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.
Qualifications
Required Qualifications:
* Bachelor's degree in Computer Science, Engineering related field
* 5+ years of experience as a Data Engineer or in data platform / analytics engineering
roles
* 3+ years of experience with SQL, data modeling, and data transformations
* 3+ years of hands-on experience with Databricks and/or Snowflake and large-scale
data processing
* 3+ years of experience building ETL/ELT pipelines, data warehouses, and analytical
data stores
* 3+ years of experience with source control and DevOps practices (Azure DevOps,
GitHub, CI/CD)
Preferred Qualifications:
* Experience building enterprise-scale data platforms
* Experience with real-time/streaming frameworks (Structured Streaming)
* Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
* Solid understanding of secure coding practices and vulnerability remediation
* Proven ability to work in distributed, cross-functional global teams
* Proven ability to analyze logs, troubleshoot production issues, and optimize
performance
* Proven solid skills in performance tuning and debugging large-scale pipelines
* Demonstrated capability to design and deploy AI-powered solutions responsibly
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.
Data Engineer
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 operate scalable ETL/ELT pipelines for structured and
semi-structured data across internal and external sources
* Develop cloud-native data solutions on modern data platforms (e.g., Databricks
lakehouse, Snowflake)
* Apply data modeling, transformations, and enrichment to produce trusted,
analytics-ready datasets
* Ensure data quality, reliability, and auditability through validation, reconciliation,
and monitoring
* Implement and follow enterprise data governance, security, and compliance
standards
* Optimize data workloads for performance, cost efficiency, and operational reliability
* Support modernization efforts, including migration of legacy ETL pipelines to
cloud-native architectures
* Partner with product, analytics, and business stakeholders to translate
requirements into production-grade data solutions
* Enable downstream analytics, reporting, and AI/ML workloads through
well-designed data assets
* Apply software engineering best practices, including CI/CD, version control, testing,
and code reviews
* Contribute to architectural discussions and mentor junior engineers
* Design, develop, and deploy AI-powered solutions to address complex business
challenges with emphasis on responsible use of AI
* 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
Qualifications
Required Qualifications:
* Bachelor's degree in Computer Science, Engineering related field
* 5+ years of experience as a Data Engineer or in data platform / analytics engineering
roles
* 3+ years of experience with SQL, data modeling, and data transformations
* 3+ years of hands-on experience with Databricks and/or Snowflake and large-scale
data processing
* 3+ years of experience building ETL/ELT pipelines, data warehouses, and analytical
data stores
* 3+ years of experience with source control and DevOps practices (Azure DevOps,
GitHub, CI/CD)
Preferred Qualifications:
* Experience building enterprise-scale data platforms
* Experience with real-time/streaming frameworks (Structured Streaming)
* Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
* Solid understanding of secure coding practices and vulnerability remediation
* Proven ability to work in distributed, cross-functional global teams
* Proven ability to analyze logs, troubleshoot production issues, and optimize
performance
* Proven solid skills in performance tuning and debugging large-scale pipelines
* Demonstrated capability to design and deploy AI-powered solutions responsibly
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.
Qualifications
Required Qualifications:
* Bachelor's degree in Computer Science, Engineering related field
* 5+ years of experience as a Data Engineer or in data platform / analytics engineering
roles
* 3+ years of experience with SQL, data modeling, and data transformations
* 3+ years of hands-on experience with Databricks and/or Snowflake and large-scale
data processing
* 3+ years of experience building ETL/ELT pipelines, data warehouses, and analytical
data stores
* 3+ years of experience with source control and DevOps practices (Azure DevOps,
GitHub, CI/CD)
Preferred Qualifications:
* Experience building enterprise-scale data platforms
* Experience with real-time/streaming frameworks (Structured Streaming)
* Exposure to GenAI tools (e.g., GitHub Copilot) for engineering productivity
* Solid understanding of secure coding practices and vulnerability remediation
* Proven ability to work in distributed, cross-functional global teams
* Proven ability to analyze logs, troubleshoot production issues, and optimize
performance
* Proven solid skills in performance tuning and debugging large-scale pipelines
* Demonstrated capability to design and deploy AI-powered solutions responsibly
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 Hyderabad, Telangana, IND Office
Hyderabad, India, India
Similar Jobs at Optum
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs and implements cloud data pipelines, databases, CI/CD frameworks, and process automation across analytics platforms. Uses Databricks, Azure, PySpark, GenAI tools, and DevOps practices to improve scalability, automation, delivery speed, and client self-service. The role integrates enterprise data and analytics applications, supports technical delivery as an individual contributor, and requires effective team communication and policy compliance.
Top Skills:
AirflowSparkAzureCi/CdCodexDatabricksDevOpsGenerative AiGitHadoopMicrosoft CopilotPower BIPysparkPythonServicenowSQLUnix
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Owns the strategy, roadmap, lifecycle, and commercial performance of externally sold fraud detection and prevention products. Defines fraud capabilities, KPIs, business cases, and product requirements while partnering with data science, engineering, risk, compliance, operations, and external vendors. Evaluates detection methods, market trends, fraud typologies, regulatory expectations, and product performance to guide investment, operational readiness, adoption, and risk mitigation.
Top Skills:
Ai Fraud DetectionCard PaymentsCase Management PlatformsDispute And Chargeback WorkflowsInvestigation ToolsMachine Learning Fraud ScoringNetwork-Level Fraud SignalsOpen-Loop ProcessingRules EnginesTransaction Monitoring
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs, develops, and deploys AI/ML and generative AI solutions for healthcare claims, including fraud detection, overpayment disputes, workflow automation, and document understanding. Builds LLM applications, RAG frameworks, and prompt engineering solutions; develops evaluation and validation processes; optimizes model deployment and inference; and supports responsible AI governance. Collaborates with engineering, product, analytics, data science, and business teams to deliver scalable solutions and measurable operational improvements.
Top Skills:
Artificial IntelligenceCloud Ai/Ml PlatformsGenerative AiLarge Language ModelsMachine LearningMlopsPrompt EngineeringPythonRetrieval-Augmented Generation
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
