Data Engineering Lead

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
Leads the architecture and implementation of scalable data platforms, pipelines, ETL/ELT workflows, and cloud-native AWS data systems. Builds and optimizes Python, SQL, and Airflow pipelines; manages data warehouses, modeling, governance, quality, lineage, and security. Provides technical leadership and mentorship while collaborating with analytics, product, engineering, and business teams. Develops reliable, cost-efficient, highly available data infrastructure and translates business needs into scalable technical solutions.
Summary Generated by Built In
Requisition Number: 2390100
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:
  • Technical Leadership
    • Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows
    • Lead end to end data engineering efforts, ensuring reliability, performance, and cost efficient data systems
    • Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration
    • Collaborate with cross functional teams (analytics, product, engineering, business) to align data solutions with business goals
  • Data Engineering & Pipeline Development
    • Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow
    • Manage large-scale data ingestion, transformation, and orchestration frameworks
    • Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems
  • Cloud & Infrastructure
    • Develop and manage cloud native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)
    • Ensure high availability, disaster recovery, and monitoring of critical data workflows
    • Implement CI/CD, infrastructure as code, and DevOps practices for data engineering workloads
  • Data Warehousing & Modeling
    • Design and enhance enterprise data warehouses and data marts following industry best practices
    • Drive dimensional modeling, data partitioning, performance tuning, and metadata management
    • Ensure consistency and quality across analytical datasets and data sources
  • Data Governance & Quality
    • Establish data quality frameworks, lineage tracking, validation checks, and documentation
    • Implement governance standards including security, compliance, and access controls
    • Partner with business stakeholders to define and enforce master data and reference data strategies
  • Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:
  • Bachelor's degree or equivalent experience
  • 8+ years of experience in Data Engineering, with 6+ years in a role
  • 3+ years of hands-on experience with AWS Cloud for data architecture and pipeline development, especially key services like AWS Glue
  • Extensive experience with Airflow for workflow orchestration
  • Solid expertise in MSSQL - query optimization, indexing, stored procedures, performance tuning
  • Solid knowledge in building Machine learning models, Generative AI, Building Multi Agent System (Google ADK preferable)
  • Solid knowledge of data management principles: governance, quality, lineage, and security
  • Solid understanding of Data Warehousing, ETL/ELT (Airflow, Informatica/SSIS), and big data processing
  • Proficiency in Python for data engineering (Pandas, PySpark, etc.)
  • Proven excellent leadership, communication, and cross team collaboration skills
  • Proven ability to translate business needs into scalable technical designs

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 or equivalent experience
  • 8+ years of experience in data engineering
  • 6+ years of experience in a data engineering role
  • 3+ years of hands-on AWS Cloud experience for data architecture and pipeline development
  • Experience with AWS Glue
  • Extensive Apache Airflow workflow orchestration experience
  • Expertise in MSSQL, including query optimization, indexing, stored procedures, and performance tuning
  • Knowledge of building machine learning models, Generative AI, and multi-agent systems
  • Knowledge of data governance, quality, lineage, and security principles
  • Understanding of data warehousing, ETL/ELT, Airflow, Informatica or SSIS, and big data processing
  • Proficiency in Python for data engineering, including Pandas and PySpark
  • Excellent leadership, communication, and cross-team collaboration skills
  • Ability to translate business needs into scalable technical designs
  • Google ADK experience

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Leave & Time Off Breadth — PTO is generally described as decent or good, and many note it as a strong part of the package. Actual ability to take time off can depend on workload and team coverage.
  • Retirement Support — Offerings include a 401(k) with employer match and access to an employee stock purchase plan, which are highlighted as meaningful components of total rewards. These programs are consistently referenced among core benefits.
  • Parental & Family Support — Parental and caregiver leave, along with adoption assistance, are publicly highlighted and viewed as notable elements of the package. Availability can be role-specific, but these supports contribute to overall breadth where offered.

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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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