Senior Data Engineering Specialist
About The Position
Optum is seeking a motivated, detail-oriented Senior Data Engineering Specialist to help remediate technical incidents and data quality issues in its enterprise Master Data Management (MDM) system and support the integrity and security of the application environment. The role works with technical support leadership and cross-functional team members, using tools such as ServiceNow, AWS cloud infrastructure, and enterprise-approved AI automation tools. The position offers the flexibility to telecommute from anywhere within the U.S., subject to UnitedHealth Group’s Telecommuter Policy.
Requirements
- High school diploma or GED.
- At least 2 years of experience or coursework working with cloud infrastructure tools and services, such as AWS.
- At least 2 years of experience using AI-driven tools or automation technologies to streamline daily technical workflows.
- At least 2 years of experience adhering to data security protocols and safely handling sensitive data.
- At least 1 year of experience in technical support, IT incident management, or data operations support.
- At least 1 year of experience using incident tracking and ticketing platforms, such as ServiceNow or equivalent.
Nice To Haves
- Associate’s degree or higher, or coursework in Computer Science, Information Technology, or a related field.
- Experience designing, developing, or deploying AI-driven solutions or automated workflows.
- Experience or familiarity with enterprise Master Data Management (MDM) systems and data quality concepts.
- Strong problem-solving skills and attention to detail in identifying and diagnosing technical issues.
- Strong organizational, time-management, and stakeholder communication skills.
Responsibilities
- Assist with remediation of technical incidents and data quality issues as directed by technical support leadership.
- Perform initial incident triage and gather diagnostic information to support timely resolution.
- Use ServiceNow to log, track, document, and update incidents.
- Support maintenance and monitoring of cloud infrastructure using AWS tools under supervision.
- Follow enterprise protocols and data security standards when handling sensitive information.
- Use enterprise-approved AI tools to streamline technical support workflows, automate repetitive tasks, and improve operations.
- Design, develop, and deploy AI-powered automation solutions for technical support challenges, emphasizing responsible AI use.
- Evaluate emerging technology trends to inform solution design, process efficiency, and innovation.
- Collaborate with data engineering and support team members to learn and apply data engineering and incident management best practices.
- Communicate effectively with team members and escalate complex technical issues to senior staff as needed.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase plan.
- 401(k) contribution.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
High school or GED
