Data Engineering Lead - SQL and PySpark

Posted 3 Hours Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Leads the design and implementation of scalable data pipelines and identity data integration solutions. Develops ETL/ELT workflows, testing, validation, cleansing, reconciliation, governance, monitoring, and reliability improvements. Partners with architects, security teams, application owners, and stakeholders to define data requirements and validation rules. Applies SQL, Python, Spark, cloud data platforms, and generative AI technologies to support data engineering and integration initiatives.
Summary Generated by Built In
Requisition Number: 2388714
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.
Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function.
Primary Responsibilities:
  • Design and implement scalable data pipelines
  • Develop IDM data integration testing solutions using AI Skill sets
  • Perform data validation, cleansing, reconciliation, and governance frameworks to ensure accuracy and consistency of identity-related data
  • Optimize ETL/ELT processes, automate data workflows, and improve pipeline reliability, scalability, and monitoring
  • Work closely with IDM architects, security teams, application owners, and business stakeholders to define data requirements and data validation rules
  • Analyzes and investigates
  • Provides explanations and interpretations within area of expertise
  • 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
  • 7+ years of experience in Data Engineering
  • Solid SQL, Python, Spark, and ETL/ELT development experience
  • Hands-on experience with Azure Data Factory, Databricks, or equivalent cloud platforms
  • Hands on experience required in Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
  • Experience with data governance, data quality, and metadata management frameworks
  • Knowledge of Azure Data Factory, Databricks, SQL, Spark, Gen AI, or equivalent cloud-native data platforms

Preferred Qualifications:
  • Proven excellent communication and teamwork skills
  • Proven great attention to detail
  • Proven organizational skills
  • Proven analytical mind

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
  • 7+ years of experience in data engineering
  • Solid SQL, Python, Spark, and ETL/ELT development experience
  • Hands-on experience with Azure Data Factory, Databricks, or equivalent cloud platforms
  • Hands-on experience with generative AI technologies, including OpenAI, Claude, Gemini, LangChain, agents, RAG, vector databases, prompt engineering, and fine-tuning
  • Experience with data governance, data quality, and metadata management frameworks
  • Knowledge of Azure Data Factory, Databricks, SQL, Spark, generative AI, or equivalent cloud-native data platforms
  • Excellent communication and teamwork skills
  • Strong attention to detail
  • Strong organizational skills
  • Analytical mindset

What the Team is Saying

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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
Metro Manila, Philippines
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