Data Engineer
Optum
Job Overview
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Job Description
About Optum Technology
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities for a Data Engineer
- Data Architecture & Engineering:Design and optimize database architecture, data models, and schemasImplement and maintain data pipelines (ETL/ELT) for large-scale data processing
- Platform & Cloud Solutions:Develop and manage data solutions on PaaS and cloud ecosystemsEnsure scalability, security, and performance of data platforms
- Data Quality & Compliance:Perform needs assessments and enforce strict data quality standardsSupport compliance with organizational and regulatory requirements
- Development & Deployment:Build and deploy optimized solutions using Big Data technologiesCollaborate with Data Scientists and Analysts to deliver AI/ML-driven solutions
- Collaboration & Leadership:Lead projects independently, manage technical deliveries, and mentor junior engineersDrive knowledge-sharing sessions and capability development within the team
- Vendor & Stakeholder Management:Manage relationships with software/hardware vendors for architectural impactWork closely with enterprise teams for requirement gathering and solution design
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- 5+ years of experience in data engineering, ETL development, and big data platforms
- Experience with SQL/Postgres/MySQL
- Experience with Azure cloud platform
- Familiarity with CI/CD, DevOps, and ML Ops workflows
- Knowledge of data modeling, schema design, and metadata management
- Expertise in Big Data technologies (PySpark/Scala Spark, Hive/Hadoop/NoSQL) and data warehousing
- Solid proficiency in Python, Scala
- Demonstrated ability to implement data security, governance, and compliance standards
- Proven skilled in building and automating data pipelines for batch and real-time processing
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Key skills/competency
- Data Architecture
- ETL/ELT Pipelines
- Azure Cloud Platform
- Big Data Technologies (Spark, Hadoop)
- SQL/NoSQL Databases
- Python/Scala Programming
- Data Modeling
- Data Security & Governance
- CI/CD & DevOps
- AI/ML Solutions Support
How to Get Hired at Optum
- Research Optum's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on health tech innovation.
- Tailor your resume for Data Engineer roles: Highlight experience with Big Data technologies (PySpark, Scala Spark, Hive, Hadoop), cloud platforms (Azure), ETL/ELT, and data modeling.
- Showcase your impact: Prepare examples of how your data engineering work has driven scalable solutions, improved data quality, or supported AI/ML initiatives in previous roles.
- Master technical concepts: Be ready to discuss data architecture, pipeline design, data security, and specific tools like SQL, Python, Scala, and CI/CD/DevOps workflows relevant to Optum's tech stack.
- Demonstrate collaboration and leadership: Prepare to discuss experiences leading projects, mentoring junior engineers, and working with cross-functional teams and vendors, as emphasized in the Data Engineer role.
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