Project Name - Identity Data Management
Data Engineering Consultant to remodel and maintain current Identity Management System. This system is responsible for managing user identities
across enterprise systems.
Key Responsibilities:
▪ This role will be responsible for designing, developing, and maintaining enterprise-scale identity management platforms.
▪ Develop IDM data integration solutions
▪ Develop API solutions
▪ Implement data validation, cleansing, reconciliation, and governance frameworks to ensure accuracy and consistency of identity-related data.
▪ Design and optimize data models, data lakes, and warehouse structures to support identity analytics, access reviews, compliance reporting, and audit requirements.
▪ Design and implement solutions using Azure Data Factory, Databricks, SQL, Spark, or equivalent cloud-native data platforms.
▪ Optimize ETL/ELT processes, automate data workflows, and improve pipeline reliability, scalability, and monitoring.
▪ Ensure data engineering solutions comply with security standards, privacy regulations, audit requirements, and enterprise IAM policies.
▪ Work closely with IDM architects, security teams, application owners, and business stakeholders to define data requirements and deliver enterprise identity data solutions.
Must have: (technical requirements)
▪ 5.5+ years of experience in Data Engineering.
▪ Strong experience in cloud-native application development, distributed systems, APIs, databases, and modern DevOps practices.
▪ Hands on experience in PySparq, Python, SQl and API development.
▪ 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.
Nice to have:
▪ Excellent communication and teamwork skills
▪ Great attention to detail
▪ Organizational skills
▪ An analytical mind
Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work. SM
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Skills Required
- 5.5+ years of experience in data engineering
- Experience with cloud-native application development, distributed systems, APIs, databases, and modern DevOps practices
- Hands-on experience with PySpark, Python, SQL, and API development
- 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
- Excellent communication and teamwork skills
- Strong attention to detail
- Strong organizational skills
- Analytical mindset
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
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Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
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Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.
Optum Insights
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.
