Senior Manager Data Engineering

Requisition Number: 2298932
Job Category: Technology
Primary Location: Bangalore, Karnataka, IN

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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.

 

Senior Manager Data Engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products, and services and to understand customer needs and to develop product roadmaps.  These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations, and delivery.  With every role in the company, each position has a requirement for building quality into every output.  This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways.

 

Primary Responsibilities:

  • Design and build data pipelines using modern or appropriate platforms  (Databricks or Spark or DBT)
  • Design and build orchestration layer in Cloud environment to drive automation of data ingestion
  • Processing and Cleaning of data
  • Design and build best in class processes to clean and standardize data
  • Troubleshoot downstream production issues in our Cloud Environments 
  • Tuning and optimizing data processes 
  • Work on Proof of Concepts for Cloud, Big Data and Data Science 
  • Design innovative and best in class Data Architectures that comply with enterprise standards 
  • Lead, mentor, train team of junior Data Engineers
  • Partner with Product Managers or AI Engineering Teams to design data structures and pipelines that meet and exceed the goals for the products 
  • 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:

  • 12+ years of experience in data engineering, with at least 3+ years in a lead or principal role
  • 3+ years of experience in Azure Data Factory (ADF): building complex, parameterized pipelines, integrating with Azure services
  • 2+ years of experience with proficiency in Snowflake: data modeling, performance tuning
  • 3+ years of experience with CI/CD pipelines using GitHub Actions
  • 3+ years of experience working with healthcare datasets, including claims data, clinical registries, and patient engagement platforms
  • Experience with REST APIs and healthcare data APIs for data ingestion and integration
  • Proven ability to lead Data Engineering teams, mentor junior engineers, and drive architectural decisions
  • Proven solid communication skills to collaborate with technical and non-technical stakeholders

 

Preferred Qualification: 

  • 4+ years of experience with solid SQL skills and experience with Python for data transformation and orchestration

  

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.

Additional Job Detail Information

Requisition Number 2298932

Business Segment Optum

Employee Status Regular

Travel No

Country: IN

Overtime Status Exempt

Schedule Full-time

Shift Day Job

Telecommuter Position No

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