Data Engineering Analyst - 2321586
Content + Source + Freshness • 15 Dec 2025 • 95% confidence
Offer value
High value based on significant growth opportunities and strong demand for data engineering skills.
- Engagement in critical healthcare data projects
- Potential for professional advancement in data engineering
- Development of skills in cloud technologies
Pros
- High demand for data engineers in healthcare
- Opportunities for professional development in cloud technologies
- Impactful role in delivering healthcare data solutions
Cons
- Potentially rigorous project deadlines
- Possibly lower initial compensation for entry-level roles
- High expectations for technical knowledge
Who it's for
Entry to Mid-level • Flexible with remote potential
Good fit
- Entry-level and junior data engineers
- Professionals with strong problem-solving skills
- Individuals eager to learn in a collaborative environment
Not recommended for
- Candidates without data-related experience
- Individuals seeking a less dynamic work environment
- Those preferring a rigid work structure
Motivation fit
Key skills
About the job
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:
- Implementation
- Data Mapping and Transformation
- File Mapping: Complete file mapping based on layouts and requirements provided by Project Managers
- Business Logic: Document business logic for transforming data into product specifications
- Data Quality Checks: Run and interpret quality checks against loaded data to ensure accuracy and completeness
- Data Mapping and Transformation
- Data Extraction / Transfer
- Extract data from client source systems and transfer it to internal Optum servers
- Data Transformation
- Author and test ETL processes to convert data formats. This includes cleaning, filtering, aggregating, enriching, normalizing, and encoding data for analysis, processing, or integration
- Troubleshooting and Support
- Issue Resolution: Troubleshoot issues raised by Project Managers and cross-functional teams, from root cause identification to resolution
- Support Requests: Handle support requests and deliver timely solutions to ensure client satisfaction.
- Collaboration and Communication
- Stakeholder Interaction: Collaborate closely with Clients, Project Managers, Product Managers, and other stakeholders to understand requirements and deliver solutions
- Documentation: Contribute to technical documentation of specifications and processes
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Communication: Effectively communicate complex concepts – both verbally and in writing – to team members and clients
- 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 or any Engineering field
- 2+ years of experience working with ETL and Data Warehousing services in Cloud Environments (AWS/Azure)
- Technical Qualifications
- Database Knowledge: Oracle, SQL Server, MySQL
- ETL Tools: MSBI (SSIS/SSRS/SSAS), Informatica
- SQL and Scripting: SQL, Python, Scala
- Cloud Platforms: Azure, AWS
- Big Data Technologies: Databricks, Hadoop, Apache Spark
- Core Skills
- Proven solid analytical and problem-solving abilities
- Technical aptitude with a quick learning curve for new technologies
- Documentation
- Proven ability to contribute to technical documentation of specifications and processes
Preferred Qualifications:
- US Healthcare Knowledge
- Health Information Systems: Working knowledge
- Clinical Data Analysis
- Clinical Processes: Understanding of clinical workflows and vocabulary
- SQL Skills: Ability to query large datasets and optimize queries
Soft Skills
- Analytical & Creative: Highly analytical, curious, and creative
- Organized: Solid organizational skills and attention to detail
- Ownership: Demonstrates accountability and ownership of responsibilities
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.

