Principal Data Engineering

Posted Yesterday
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Gurgaon, Gurugram, Haryana, IND
In-Office
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
The Principal Data Engineer will design and maintain data architectures, build scalable pipelines, ensure data quality and governance, and enable AI/ML applications. Responsibilities include collaborating with various teams and optimizing data performance for enterprise applications.
Summary Generated by Built In
Requisition Number: 2354923
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:
  • Data Architecture & Canonical Model Design
    • Design, build, and maintain canonical data models that serve as the single source of truth across analytics and AI use cases
    • Define and enforce data contracts between upstream systems and downstream consumers
    • Handle schema evolution, versioning, and drift management proactively
    • Ensure alignment between business semantics and physical data models
  • Data Engineering & Pipeline Development
    • Build scalable and efficient data pipelines using Snowflake, SQL, and Python
    • Process both structured and semi-structured data (JSON, logs, API payloads)
    • Optimize transformations for performance, cost, and scalability
    • Implement reusable, modular pipeline components
  • Advanced Data Modeling for Analytics
    • Design dimensional and normalized data models for reporting, ML, and AI workloads
    • Optimize data models for BI tools, self-service analytics, and LLM consumption
    • Develop metric-layer ready models to ensure consistency across reporting
  • Data Governance & Quality
  • Implement data validation, monitoring, and quality checks across pipelines
    • Build frameworks to detect schema drift and data inconsistencies
    • Ensure adherence to data governance, lineage, and auditability standards
    • Support compliance requirements (PHI/PII handling, access control, traceability)
  • AI/ML & GenAI Enablement
    • Structure data to support RAG pipelines, embeddings, and LLM-based applications
    • Enable feature-ready datasets for ML and AI use cases
    • Collaborate with AI/ML engineers to ensure data readiness for agentic workflows
  • Performance Optimization & Platform Engineering
    • Optimize Snowflake performance (clustering, partitioning, query tuning, cost management)
    • Build frameworks for data observability, monitoring, and alerting
    • Improve pipeline reliability, scalability, and fault tolerance
  • 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, Engineering, Data Engineering, or a related technical field (or equivalent practical experience)
  • 10+ years of overall experience in software engineering and data engineering roles, with significant experience designing and delivering large scale data platforms in enterprise environments
  • Solid hands on experience with cloud based data platforms (Azure and/or GCP), including data storage, processing, orchestration, and monitoring services
  • Deep experience with ETL/ELT frameworks, batch and streaming data processing, and distributed data systems
  • Experience collaborating with Analytics, BI, Data Science, and Product teams to deliver trusted, reusable, and performant data assets
  • Proven expertise in with Snowflakes and databricks
  • Proven expertise in data engineering architecture and solution design, including building, optimizing, and scaling high volume, high availability data pipelines
  • Advanced proficiency in SQL and at least one programming language such as Python for data pipeline and platform development
  • Solid knowledge of data quality, data observability, lineage, and metadata management, and implementing governance controls in enterprise data ecosystems
  • Demonstrated ability to work across cloud and on prem ecosystems, supporting hybrid data architectures at scale

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, Engineering, Data Engineering, or a related technical field
  • 10+ years of overall experience in software engineering and data engineering roles
  • Experience designing and delivering large scale data platforms in enterprise environments
  • Solid hands on experience with cloud based data platforms (Azure and/or GCP)
  • Deep experience with ETL/ELT frameworks, batch and streaming data processing
  • Proven expertise with Snowflake and Databricks
  • Advanced proficiency in SQL and at least one programming language such as Python

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Healthcare Strength Health coverage offers multiple plan types with employer HSA contributions, in‑network preventive care at 100%, and included 24/7 virtual visits, alongside dental and vision options. This breadth allows predictable copay choices or tax‑advantaged HSA designs to fit different usage needs.
  • Retirement Support Retirement programs include a 401(k) with employer match eligibility and full vesting over time plus an Employee Stock Purchase Plan at a discount. Together these elements support long‑term savings and ownership.
  • Parental & Family Support Family supports include six weeks paid parental leave, paid caregiver leave, adoption assistance, and subsidized Bright Horizons back‑up care. Emotional well‑being resources like a premium Calm subscription and a 24/7 EAP complement these supports.

Optum Insights

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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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