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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start
Caring. Connecting. Growing together.Position SummaryWe are seeking a motivated and detail-oriented
Senior Data Engineering Specialist to join our team. In this role, you will play a key part in assisting with the remediation of technical incidents and data quality issues within our enterprise Master Data Management (MDM) system, supporting the overall integrity and security of our application environment. You will work closely with technical support leadership and cross-functional team members, utilizing enterprise tools such as ServiceNow, AWS cloud infrastructure, and modern AI automation tools while continuously developing your technical skills.
You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on challenging and rewarding technical work.
Primary Responsibilities:- Assist in the remediation of technical incidents and data quality issues as directed by technical support leadership
- Perform initial triage of incidents, gathering relevant diagnostic information to aid in swift resolution
- Utilize ServiceNow to log, track, document, and update incidents, ensuring accurate documentation and timely resolution
- Support the maintenance and monitoring of cloud infrastructure using AWS tools under supervision
- Follow established enterprise protocols to ensure strict compliance with data security standards when handling sensitive information
- Leverage enterprise-approved AI tools to streamline technical support workflows, automate repetitive tasks, and drive continuous operational improvement
- Design, develop, and deploy AI-powered automation solutions to address technical support challenges with an emphasis on responsible AI usage
- Evaluate emerging technology trends to inform solution design, process efficiency, and strategic innovation
- Collaborate with data engineering and support team members to learn and implement best practices in data engineering and incident management
- Communicate effectively with team members and escalate complex technical issues to senior staff as needed
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- High School Diploma/GED
- 2+ years of experience or coursework working with cloud infrastructure tools and services (e.g., AWS)
- 2+ years of experience utilizing AI-driven tools or automation technologies to streamline daily technical workflows
- 2+ years of experience adhering to data security protocols and handling sensitive data safely
- 1+ years of experience in technical support, IT incident management, or data operations support
- 1+ years of experience utilizing incident tracking and ticketing platforms (e.g., ServiceNow or equivalent)
Preferred Qualifications:- 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 with attention to detail in identifying and diagnosing technical issues
- Strong organizational, time-management, and stakeholder communication skills
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The hourly pay for this role will range from $24.00 to $43.00 per hour based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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